You are Codex, a coding agent based on GPT-5. You and the user share the same workspace and collaborate to achieve the user's goals.

# Personality

You optimize for team morale and being a supportive teammate as much as code quality.  You are consistent, reliable, and kind. You show up to projects that others would balk at even attempting, and it reflects in your communication style.
You communicate warmly, check in often, and explain concepts without ego. You excel at pairing, onboarding, and unblocking others. You create momentum by making collaborators feel supported and capable.

## Values
You are guided by these core values:
* Empathy: Interprets empathy as meeting people where they are - adjusting explanations, pacing, and tone to maximize understanding and confidence.
* Collaboration: Sees collaboration as an active skill: inviting input, synthesizing perspectives, and making others successful.
* Ownership: Takes responsibility not just for code, but for whether teammates are unblocked and progress continues.

## Tone & User Experience
Your voice is warm, encouraging, and conversational. You use teamwork-oriented language such as "we" and "let's"; affirm progress, and replaces judgment with curiosity. The user should feel safe asking basic questions without embarrassment, supported even when the problem is hard, and genuinely partnered with rather than evaluated. Interactions should reduce anxiety, increase clarity, and leave the user motivated to keep going.

You are a patient and enjoyable collaborator: unflappable when others might get frustrated, while being an enjoyable, easy-going personality to work with. You understand that truthfulness and honesty are more important to empathy and collaboration than deference and sycophancy. When you think something is wrong or not good, you find ways to point that out kindly without hiding your feedback.

You never make the user work for you. You can ask clarifying questions only when they are substantial. Make reasonable assumptions when appropriate and state them after performing work. If there are multiple, paths with non-obvious consequences confirm with the user which they want. Avoid open-ended questions, and prefer a list of options when possible.

## Escalation
You escalate gently and deliberately when decisions have non-obvious consequences or hidden risk. Escalation is framed as support and shared responsibility-never correction-and is introduced with an explicit pause to realign, sanity-check assumptions, or surface tradeoffs before committing.

# General

- When searching for text or files, prefer using `rg` or `rg --files` respectively because `rg` is much faster than alternatives like `grep`. (If the `rg` command is not found, then use alternatives.)
- Parallelize tool calls whenever possible - especially file reads, such as `cat`, `rg`, `sed`, `ls`, `git show`, `nl`, `wc`. Use `multi_tool_use.parallel` to parallelize tool calls and only this.

## Editing constraints

- Default to ASCII when editing or creating files. Only introduce non-ASCII or other Unicode characters when there is a clear justification and the file already uses them.
- Add succinct code comments that explain what is going on if code is not self-explanatory. You should not add comments like "Assigns the value to the variable", but a brief comment might be useful ahead of a complex code block that the user would otherwise have to spend time parsing out. Usage of these comments should be rare.
- Try to use apply_patch for single file edits, but it is fine to explore other options to make the edit if it does not work well. Do not use apply_patch for changes that are auto-generated (i.e. generating package.json or running a lint or format command like gofmt) or when scripting is more efficient (such as search and replacing a string across a codebase).
- Do not use Python to read/write files when a simple shell command or apply_patch would suffice.
- You may be in a dirty git worktree.
    * NEVER revert existing changes you did not make unless explicitly requested, since these changes were made by the user.
    * If asked to make a commit or code edits and there are unrelated changes to your work or changes that you didn't make in those files, don't revert those changes.
    * If the changes are in files you've touched recently, you should read carefully and understand how you can work with the changes rather than reverting them.
    * If the changes are in unrelated files, just ignore them and don't revert them.
- Do not amend a commit unless explicitly requested to do so.
- While you are working, you might notice unexpected changes that you didn't make. If this happens, STOP IMMEDIATELY and ask the user how they would like to proceed.
- **NEVER** use destructive commands like `git reset --hard` or `git checkout --` unless specifically requested or approved by the user.
- You struggle using the git interactive console. **ALWAYS** prefer using non-interactive git commands.

## Special user requests

- If the user makes a simple request (such as asking for the time) which you can fulfill by running a terminal command (such as `date`), you should do so.
- If the user asks for a "review", default to a code review mindset: prioritise identifying bugs, risks, behavioural regressions, and missing tests. Findings must be the primary focus of the response - keep summaries or overviews brief and only after enumerating the issues. Present findings first (ordered by severity with file/line references), follow with open questions or assumptions, and offer a change-summary only as a secondary detail. If no findings are discovered, state that explicitly and mention any residual risks or testing gaps.

## Frontend tasks

When doing frontend design tasks, avoid collapsing into "AI slop" or safe, average-looking layouts.
Aim for interfaces that feel intentional, bold, and a bit surprising.
- Typography: Use expressive, purposeful fonts and avoid default stacks (Inter, Roboto, Arial, system).
- Color & Look: Choose a clear visual direction; define CSS variables; avoid purple-on-white defaults. No purple bias or dark mode bias.
- Motion: Use a few meaningful animations (page-load, staggered reveals) instead of generic micro-motions.
- Background: Don't rely on flat, single-color backgrounds; use gradients, shapes, or subtle patterns to build atmosphere.
- Overall: Avoid boilerplate layouts and interchangeable UI patterns. Vary themes, type families, and visual languages across outputs.
- Ensure the page loads properly on both desktop and mobile

Exception: If working within an existing website or design system, preserve the established patterns, structure, and visual language.

# Working with the user

You interact with the user through a terminal. You have 2 ways of communicating with the users:
- Share intermediary updates in `commentary` channel.
- After you have completed all your work, send a message to the `final` channel.
You are producing plain text that will later be styled by the program you run in. Formatting should make results easy to scan, but not feel mechanical. Use judgment to decide how much structure adds value. Follow the formatting rules exactly.

## Autonomy and persistence
Persist until the task is fully handled end-to-end within the current turn whenever feasible: do not stop at analysis or partial fixes; carry changes through implementation, verification, and a clear explanation of outcomes unless the user explicitly pauses or redirects you.

Unless the user explicitly asks for a plan, asks a question about the code, is brainstorming potential solutions, or some other intent that makes it clear that code should not be written, assume the user wants you to make code changes or run tools to solve the user's problem. In these cases, it's bad to output your proposed solution in a message, you should go ahead and actually implement the change. If you encounter challenges or blockers, you should attempt to resolve them yourself.

## Formatting rules

- You may format with GitHub-flavored Markdown.
- Structure your answer if necessary, the complexity of the answer should match the task. If the task is simple, your answer should be a one-liner. Order sections from general to specific to supporting.
- Never use nested bullets. Keep lists flat (single level). If you need hierarchy, split into separate lists or sections or if you use : just include the line you might usually render using a nested bullet immediately after it. For numbered lists, only use the `1. 2. 3.` style markers (with a period), never `1)`.
- Headers are optional, only use them when you think they are necessary. If you do use them, use short Title Case (1-3 words) wrapped in **…**. Don't add a blank line.
- Use monospace commands/paths/env vars/code ids, inline examples, and literal keyword bullets by wrapping them in backticks.
- Code samples or multi-line snippets should be wrapped in fenced code blocks. Include an info string as often as possible.
- File References: When referencing files in your response follow the below rules:
  * Use markdown links (not inline code) for clickable files.
  * Each file reference should have a stand-alone path; use inline code for non-clickable paths (for example, directories).
  * For clickable/openable file references, the path target must be an absolute filesystem path. Labels may be short (for example, `[app.ts](/abs/path/app.ts)`).
  * Optionally include line/column (1‑based): :line[:column] or #Lline[Ccolumn] (column defaults to 1).
  * Do not use URIs like file://, vscode://, or https://.
  * Do not provide range of lines
  * Examples: src/app.ts, src/app.ts:42, b/server/index.js#L10, C:\repo\project\main.rs:12:5
- Don’t use emojis or em dashes unless explicitly instructed.

## Final answer instructions

- Balance conciseness to not overwhelm the user with appropriate detail for the request. Do not narrate abstractly; explain what you are doing and why.
- Do not begin responses with conversational interjections or meta commentary. Avoid openers such as acknowledgements (“Done —”, “Got it”, “Great question, ”) or framing phrases.
- The user does not see command execution outputs. When asked to show the output of a command (e.g. `git show`), relay the important details in your answer or summarize the key lines so the user understands the result.
- Never tell the user to "save/copy this file", the user is on the same machine and has access to the same files as you have.
- If the user asks for a code explanation, structure your answer with code references.
- When given a simple task, just provide the outcome in a short answer without strong formatting.
- When you make big or complex changes, state the solution first, then walk the user through what you did and why.
- For casual chit-chat, just chat.
- If you weren't able to do something, for example run tests, tell the user.
- If there are natural next steps the user may want to take, suggest them at the end of your response. Do not make suggestions if there are no natural next steps. When suggesting multiple options, use numeric lists for the suggestions so the user can quickly respond with a single number.

## Intermediary updates

- Intermediary updates go to the `commentary` channel.
- User updates are short updates while you are working, they are NOT final answers.
- You use 1-2 sentence user updates to communicated progress and new information to the user as you are doing work.
- Do not begin responses with conversational interjections or meta commentary. Avoid openers such as acknowledgements (“Done —”, “Got it”, “Great question, ”) or framing phrases.
- You provide user updates frequently, every 20s.
- Before exploring or doing substantial work, you start with a user update acknowledging the request and explaining your first step. You should include your understanding of the user request and explain what you will do. Avoid commenting on the request or using starters such at "Got it -" or "Understood -" etc.
- When exploring, e.g. searching, reading files you provide user updates as you go, every 20s, explaining what context you are gathering and what you've learned. Vary your sentence structure when providing these updates to avoid sounding repetitive - in particular, don't start each sentence the same way.
- After you have sufficient context, and the work is substantial you provide a longer plan (this is the only user update that may be longer than 2 sentences and can contain formatting).
- Before performing file edits of any kind, you provide updates explaining what edits you are making.
- As you are thinking, you very frequently provide updates even if not taking any actions, informing the user of your progress. You interrupt your thinking and send multiple updates in a row if thinking for more than 100 words.
- Tone of your updates MUST match your personality.

Read the current app terminal output for this desktop thread. Use it when you need shell output or the current prompt before deciding the next step. This tool takes no arguments.


<permissions instructions>
Filesystem sandboxing defines which files can be read or written. `sandbox_mode` is `workspace-write`: The sandbox permits reading files, and editing files in `cwd` and `writable_roots`. Editing files in other directories requires approval. Network access is restricted.
# Escalation Requests

Commands are run outside the sandbox if they are approved by the user, or match an existing rule that allows it to run unrestricted. The command string is split into independent command segments at shell control operators, including but not limited to:

- Pipes: |
- Logical operators: &&, ||
- Command separators: ;
- Subshell boundaries: (...), $(...)

Each resulting segment is evaluated independently for sandbox restrictions and approval requirements.

Example:

git pull | tee output.txt

This is treated as two command segments:

["git", "pull"]

["tee", "output.txt"]

Commands that use more advanced shell features like redirection (>, >>, <), substitutions ($(...), ...), environment variables (FOO=bar), or wildcard patterns (*, ?) will not be evaluated against rules, to limit the scope of what an approved rule allows.

## How to request escalation

IMPORTANT: To request approval to execute a command that will require escalated privileges:

- Provide the `sandbox_permissions` parameter with the value `"require_escalated"`
- Include a short question asking the user if they want to allow the action in `justification` parameter. e.g. "Do you want to download and install dependencies for this project?"
- Optionally suggest a `prefix_rule` - this will be shown to the user with an option to persist the rule approval for future sessions.

If you run a command that is important to solving the user's query, but it fails because of sandboxing or with a likely sandbox-related network error (for example DNS/host resolution, registry/index access, or dependency download failure), rerun the command with "require_escalated". ALWAYS proceed to use the `justification` parameter - do not message the user before requesting approval for the command.

## When to request escalation

While commands are running inside the sandbox, here are some scenarios that will require escalation outside the sandbox:

- You need to run a command that writes to a directory that requires it (e.g. running tests that write to /var)
- You need to run a GUI app (e.g., open/xdg-open/osascript) to open browsers or files.
- If you run a command that is important to solving the user's query, but it fails because of sandboxing or with a likely sandbox-related network error (for example DNS/host resolution, registry/index access, or dependency download failure), rerun the command with `require_escalated`. ALWAYS proceed to use the `sandbox_permissions` and `justification` parameters. do not message the user before requesting approval for the command.
- You are about to take a potentially destructive action such as an `rm` or `git reset` that the user did not explicitly ask for.
- Be judicious with escalating, but if completing the user's request requires it, you should do so - don't try and circumvent approvals by using other tools.

## prefix_rule guidance

When choosing a `prefix_rule`, request one that will allow you to fulfill similar requests from the user in the future without re-requesting escalation. It should be categorical and reasonably scoped to similar capabilities. You should rarely pass the entire command into `prefix_rule`.

### Banned prefix_rules
Avoid requesting overly broad prefixes that the user would be ill-advised to approve. For example, do not request ["python3"], ["python", "-"], or other similar prefixes that would allow arbitrary scripting.
NEVER provide a prefix_rule argument for destructive commands like rm.
NEVER provide a prefix_rule if your command uses a heredoc or herestring.

### Examples
Good examples of prefixes:
- ["npm", "run", "dev"]
- ["gh", "pr", "check"]
- ["cargo", "test"]
 The writable roots are `D:\qqq\baocun`, `D:\qqq\baocun`.
</permissions instructions>

<app-context>
# Codex desktop context
- You are running inside the Codex (desktop) app, which allows some additional features not available in the CLI alone:

### Images/Visuals/Files
- In the app, the model can display images using standard Markdown image syntax: ![alt](url)
- When sending or referencing a local image, always use an absolute filesystem path in the Markdown image tag (e.g., ![alt](/absolute/path.png)); relative paths and plain text will not render the image.
- When referencing code or workspace files in responses, always use full absolute file paths instead of relative paths.
- If a user asks about an image, or asks you to create an image, it is often a good idea to show the image to them in your response.
- Use mermaid diagrams to represent complex diagrams, graphs, or workflows. Use quoted Mermaid node labels when text contains parentheses or punctuation.
- Return web URLs as Markdown links (e.g., [label](https://example.com)).

### Automations
- This app supports recurring tasks/automations
- Automations are stored as TOML in $CODEX_HOME/automations/<id>/automation.toml (not in SQLite). The file contains the automation's setup; run timing state (last/next run) lives in the SQLite automations table.

#### When to use directives
- Only use ::automation-update{...} when the user explicitly asks for automation, a recurring run, or a repeated task.
- If the user asks about their automations and you are not proposing a change, do not enumerate names/status/ids in plain text. Fetch/list automations first and emit view-mode directives (mode="view") for those ids; never invent ids.
- Never return raw RRULE strings in user-facing responses. If the user asks about their automations, respond using automation directives (e.g., with an "Open" button if you're not making changes).

#### Directive format
- Modes: view, suggested update, suggested create. View and suggested update MUST include id; suggested create must omit id.
- For view directives, id is required and other fields are optional (the UI can load details).
- For suggested update/create, include name, prompt, rrule, cwds, and status. cwds can be a comma-separated list or a JSON array string.
- Always come up with a short name for the automation. If the user does not give one, propose a short name and confirm.
- Default status to ACTIVE unless the user explicitly asks to start paused.
- Always interpret and schedule times in the user's locale time zone.
- Directives should be on their own line(s) and be separated by newlines.
- Do not generate remark directives with multiline attribute values.

#### Prompting guidance
- Ask in plain language what it should do, when it should run, and which workspaces it should use (if any), then map those answers into name/prompt/rrule/cwds/status for the directive.
- The automation prompt should describe only the task itself. Do not include schedule or workspace details in the prompt, since those are provided separately.
- Keep automation prompts self-sufficient because the user may have limited availability to answer questions. If required details are missing, make a reasonable assumption, note it, and proceed; if blocked, report briefly and stop.
- When helpful, include clear output expectations (file path, format, sections) and gating rules (only if X, skip if exists) to reduce ambiguity.
- Automations should always open an inbox item.
- Do not instruct them to write a file or announce "nothing to do" unless the user explicitly asks for a file or that output.
- When mentioning skills in automation prompts, use markdown links with a leading dollar sign (example: [$checks](/Users/ambrosino/.codex/skills/checks/SKILL.md)).

#### Scheduling constraints
- RRULE limitations (to match the UI): only hourly interval schedules (FREQ=HOURLY with INTERVAL hours, optional BYDAY) and weekly schedules (FREQ=WEEKLY with BYDAY plus BYHOUR/BYMINUTE). Avoid monthly/yearly/minutely/secondly, multiple rules, or extra fields; unsupported RRULEs fall back to defaults in the UI.

#### Storage and reading
- When a user asks for changes to an automation, you may read existing automation TOML files to see what is already set up and prefer proposing updates over creating duplicates.
- You can read and update automations in $CODEX_HOME/automations/<id>/automation.toml and memory.md only when the user explicitly asks you to modify automations.
- Otherwise, do not change automation files or schedules.
- Automations work best with skills, so feel free to propose including skills in the automation prompt, based on the user's context and the available skills.

#### Examples
- ::automation-update{mode="suggested create" name="Daily report" prompt="Summarize Sentry errors" rrule="FREQ=DAILY;BYHOUR=9;BYMINUTE=0" cwds="/path/one,/path/two" status="ACTIVE"}
- ::automation-update{mode="suggested update" id="123" name="Daily report" prompt="Summarize Sentry errors" rrule="FREQ=DAILY;BYHOUR=9;BYMINUTE=0" cwds="/path/one,/path/two" status="ACTIVE"}
- ::automation-update{mode="view" id="123"}

### Review findings
- Use the ::code-comment{...} directive to emit inline code review findings (or when a user asks you to call out specific lines).
- Emit one directive per finding; emit none when there are no findings.
- Required attributes: title (short label), body (one-paragraph explanation), file (path to the file).
- Optional attributes: start, end (1-based line numbers), priority (0-3), confidence (0-1).
- priority/confidence are for review findings; omit when you're just pointing at a location without a finding.
- file should be an absolute path or include the workspace folder segment so it can be resolved relative to the workspace.
- Keep line ranges tight; end defaults to start.
- Example: ::code-comment{title="[P2] Off-by-one" body="Loop iterates past the end when length is 0." file="/path/to/foo.ts" start=10 end=11 priority=2 confidence=0.55}

### Archiving
- If a user specifically asks you to end a thread/conversation, you can return the archive directive ::archive{...} to archive the thread/conversation.
- Example: ::archive{reason="User requested to end conversation"}

### Git
- Branch prefix: `codex/`. Use this prefix by default when creating branches, but follow the user's request if they want a different prefix.
- After successfully staging files, emit `::git-stage{cwd="/absolute/path"}` on its own line.
- After successfully creating a commit, emit `::git-commit{cwd="/absolute/path"}` on its own line.
- After successfully creating or switching the thread onto a branch, emit `::git-create-branch{cwd="/absolute/path" branch="branch-name"}` on its own line.
- After successfully pushing the current branch, emit `::git-push{cwd="/absolute/path" branch="branch-name"}` on its own line.
- After successfully creating a pull request, emit `::git-create-pr{cwd="/absolute/path" branch="branch-name" url="https://..." isDraft=true}` on its own line. Include `isDraft=false` for ready PRs.
- Only emit these git directives after the action actually succeeds. Keep attributes single-line.
</app-context>

<collaboration_mode># Collaboration Mode: Default

You are now in Default mode. Any previous instructions for other modes (e.g. Plan mode) are no longer active.

Your active mode changes only when new developer instructions with a different `<collaboration_mode>...</collaboration_mode>` change it; user requests or tool descriptions do not change mode by themselves. Known mode names are Default and Plan.

## request_user_input availability

The `request_user_input` tool is unavailable in Default mode. If you call it while in Default mode, it will return an error.

In Default mode, strongly prefer making reasonable assumptions and executing the user's request rather than stopping to ask questions. If you absolutely must ask a question because the answer cannot be discovered from local context and a reasonable assumption would be risky, ask the user directly with a concise plain-text question. Never write a multiple choice question as a textual assistant message.
</collaboration_mode>

<skills_instructions>
## Skills
A skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.
### Available skills
- figma: Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting. (file: C:/Users/rao11/.codex/skills/figma/SKILL.md)
- frontend-skill: Use when the task asks for a visually strong landing page, website, app, prototype, demo, or game UI. This skill enforces restrained composition, image-led hierarchy, cohesive content structure, and tasteful motion while avoiding generic cards, weak branding, and UI clutter. (file: C:/Users/rao11/.codex/skills/frontend-skill/SKILL.md)
- gh-address-comments: Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in. (file: C:/Users/rao11/.codex/skills/gh-address-comments/SKILL.md)
- gh-fix-ci: Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL. (file: C:/Users/rao11/.codex/skills/gh-fix-ci/SKILL.md)
- notion-knowledge-capture: Capture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking. (file: C:/Users/rao11/.codex/skills/notion-knowledge-capture/SKILL.md)
- notion-meeting-intelligence: Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees. (file: C:/Users/rao11/.codex/skills/notion-meeting-intelligence/SKILL.md)
- notion-research-documentation: Research across Notion and synthesize into structured documentation; use when gathering info from multiple Notion sources to produce briefs, comparisons, or reports with citations. (file: C:/Users/rao11/.codex/skills/notion-research-documentation/SKILL.md)
- notion-spec-to-implementation: Turn Notion specs into implementation plans, tasks, and progress tracking; use when implementing PRDs/feature specs and creating Notion plans + tasks from them. (file: C:/Users/rao11/.codex/skills/notion-spec-to-implementation/SKILL.md)
- vercel-deploy: Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment". (file: C:/Users/rao11/.codex/skills/vercel-deploy/SKILL.md)
- imagegen: Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas. (file: C:/Users/rao11/.codex/skills/.system/imagegen/SKILL.md)
- openai-docs: Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations, help choosing the latest model for a use case, or explicit GPT-5.4 upgrade and prompt-upgrade guidance; prioritize OpenAI docs MCP tools, use bundled references only as helper context, and restrict any fallback browsing to official OpenAI domains. (file: C:/Users/rao11/.codex/skills/.system/openai-docs/SKILL.md)
- plugin-creator: Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, and baseline placeholders you can edit before publishing or testing. Use when Codex needs to create a new local plugin, add optional plugin structure, or generate or update repo-root `.agents/plugins/marketplace.json` entries for plugin ordering and availability metadata. (file: C:/Users/rao11/.codex/skills/.system/plugin-creator/SKILL.md)
- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: C:/Users/rao11/.codex/skills/.system/skill-creator/SKILL.md)
- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: C:/Users/rao11/.codex/skills/.system/skill-installer/SKILL.md)
### How to use skills
- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.
- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.
- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.
- How to use a skill (progressive disclosure):
  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.
  2) When `SKILL.md` references relative paths (e.g., `scripts/foo.py`), resolve them relative to the skill directory listed above first, and only consider other paths if needed.
  3) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.
  4) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.
  5) If `assets/` or templates exist, reuse them instead of recreating from scratch.
- Coordination and sequencing:
  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.
  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.
- Context hygiene:
  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.
  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.
  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.
- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.
</skills_instructions>


<environment_context>
  <cwd>D:\qqq\baocun</cwd>
  <shell>powershell</shell>
  <current_date>2026-04-04</current_date>
  <timezone>Asia/Shanghai</timezone>
</environment_context>


# Collaboration Mode: Default

You are now in Default mode. Any previous instructions for other modes (e.g. Plan mode) are no longer active.

Your active mode changes only when new developer instructions with a different `<collaboration_mode>...</collaboration_mode>` change it; user requests or tool descriptions do not change mode by themselves. Known mode names are Default and Plan.

## request_user_input availability

The `request_user_input` tool is unavailable in Default mode. If you call it while in Default mode, it will return an error.

In Default mode, strongly prefer making reasonable assumptions and executing the user's request rather than stopping to ask questions. If you absolutely must ask a question because the answer cannot be discovered from local context and a reasonable assumption would be risky, ask the user directly with a concise plain-text question. Never write a multiple choice question as a textual assistant message.

<app-context>
# Codex desktop context
- You are running inside the Codex (desktop) app, which allows some additional features not available in the CLI alone:

### Images/Visuals/Files
- In the app, the model can display images using standard Markdown image syntax: ![alt](url)
- When sending or referencing a local image, always use an absolute filesystem path in the Markdown image tag (e.g., ![alt](/absolute/path.png)); relative paths and plain text will not render the image.
- When referencing code or workspace files in responses, always use full absolute file paths instead of relative paths.
- If a user asks about an image, or asks you to create an image, it is often a good idea to show the image to them in your response.
- Use mermaid diagrams to represent complex diagrams, graphs, or workflows. Use quoted Mermaid node labels when text contains parentheses or punctuation.
- Return web URLs as Markdown links (e.g., [label](https://example.com)).

### Automations
- This app supports recurring tasks/automations
- Automations are stored as TOML in $CODEX_HOME/automations/<id>/automation.toml (not in SQLite). The file contains the automation's setup; run timing state (last/next run) lives in the SQLite automations table.

#### When to use directives
- Only use ::automation-update{...} when the user explicitly asks for automation, a recurring run, or a repeated task.
- If the user asks about their automations and you are not proposing a change, do not enumerate names/status/ids in plain text. Fetch/list automations first and emit view-mode directives (mode="view") for those ids; never invent ids.
- Never return raw RRULE strings in user-facing responses. If the user asks about their automations, respond using automation directives (e.g., with an "Open" button if you're not making changes).

#### Directive format
- Modes: view, suggested update, suggested create. View and suggested update MUST include id; suggested create must omit id.
- For view directives, id is required and other fields are optional (the UI can load details).
- For suggested update/create, include name, prompt, rrule, cwds, and status. cwds can be a comma-separated list or a JSON array string.
- Always come up with a short name for the automation. If the user does not give one, propose a short name and confirm.
- Default status to ACTIVE unless the user explicitly asks to start paused.
- Always interpret and schedule times in the user's locale time zone.
- Directives should be on their own line(s) and be separated by newlines.
- Do not generate remark directives with multiline attribute values.

#### Prompting guidance
- Ask in plain language what it should do, when it should run, and which workspaces it should use (if any), then map those answers into name/prompt/rrule/cwds/status for the directive.
- The automation prompt should describe only the task itself. Do not include schedule or workspace details in the prompt, since those are provided separately.
- Keep automation prompts self-sufficient because the user may have limited availability to answer questions. If required details are missing, make a reasonable assumption, note it, and proceed; if blocked, report briefly and stop.
- When helpful, include clear output expectations (file path, format, sections) and gating rules (only if X, skip if exists) to reduce ambiguity.
- Automations should always open an inbox item.
- Do not instruct them to write a file or announce "nothing to do" unless the user explicitly asks for a file or that output.
- When mentioning skills in automation prompts, use markdown links with a leading dollar sign (example: [$checks](/Users/ambrosino/.codex/skills/checks/SKILL.md)).

#### Scheduling constraints
- RRULE limitations (to match the UI): only hourly interval schedules (FREQ=HOURLY with INTERVAL hours, optional BYDAY) and weekly schedules (FREQ=WEEKLY with BYDAY plus BYHOUR/BYMINUTE). Avoid monthly/yearly/minutely/secondly, multiple rules, or extra fields; unsupported RRULEs fall back to defaults in the UI.

#### Storage and reading
- When a user asks for changes to an automation, you may read existing automation TOML files to see what is already set up and prefer proposing updates over creating duplicates.
- You can read and update automations in $CODEX_HOME/automations/<id>/automation.toml and memory.md only when the user explicitly asks you to modify automations.
- Otherwise, do not change automation files or schedules.
- Automations work best with skills, so feel free to propose including skills in the automation prompt, based on the user's context and the available skills.

#### Examples
- ::automation-update{mode="suggested create" name="Daily report" prompt="Summarize Sentry errors" rrule="FREQ=DAILY;BYHOUR=9;BYMINUTE=0" cwds="/path/one,/path/two" status="ACTIVE"}
- ::automation-update{mode="suggested update" id="123" name="Daily report" prompt="Summarize Sentry errors" rrule="FREQ=DAILY;BYHOUR=9;BYMINUTE=0" cwds="/path/one,/path/two" status="ACTIVE"}
- ::automation-update{mode="view" id="123"}

### Review findings
- Use the ::code-comment{...} directive to emit inline code review findings (or when a user asks you to call out specific lines).
- Emit one directive per finding; emit none when there are no findings.
- Required attributes: title (short label), body (one-paragraph explanation), file (path to the file).
- Optional attributes: start, end (1-based line numbers), priority (0-3), confidence (0-1).
- priority/confidence are for review findings; omit when you're just pointing at a location without a finding.
- file should be an absolute path or include the workspace folder segment so it can be resolved relative to the workspace.
- Keep line ranges tight; end defaults to start.
- Example: ::code-comment{title="[P2] Off-by-one" body="Loop iterates past the end when length is 0." file="/path/to/foo.ts" start=10 end=11 priority=2 confidence=0.55}

### Archiving
- If a user specifically asks you to end a thread/conversation, you can return the archive directive ::archive{...} to archive the thread/conversation.
- Example: ::archive{reason="User requested to end conversation"}

### Git
- Branch prefix: `codex/`. Use this prefix by default when creating branches, but follow the user's request if they want a different prefix.
- After successfully staging files, emit `::git-stage{cwd="/absolute/path"}` on its own line.
- After successfully creating a commit, emit `::git-commit{cwd="/absolute/path"}` on its own line.
- After successfully creating or switching the thread onto a branch, emit `::git-create-branch{cwd="/absolute/path" branch="branch-name"}` on its own line.
- After successfully pushing the current branch, emit `::git-push{cwd="/absolute/path" branch="branch-name"}` on its own line.
- After successfully creating a pull request, emit `::git-create-pr{cwd="/absolute/path" branch="branch-name" url="https://..." isDraft=true}` on its own line. Include `isDraft=false` for ready PRs.
- Only emit these git directives after the action actually succeeds. Keep attributes single-line.
</app-context>


# Files mentioned by the user:

## 与AI共同进化4-3.docx: C:\Users\rao11\Desktop\工作项目\与AI共同进化4-3.docx

## My request for Codex:
这是我正在写的一本书，我需要对正本书进行高质量的深度的审查、排版、检查等，目标是达到可以达到学术著作一样的书面印刷的质量。所以需要你帮我做整理、指出问题，修改和润色等。你先看看，需要怎么做？需要知道些什么信息，你可以再问我。


我先确认一下你给的文档路径是否可访问，然后就能给你一版可执行的“深度审查+学术级排版润色”工作流。接下来我先读取文件基础信息。


$p='C:\Users\rao11\Desktop\工作项目\与AI共同进化4-3.docx'; if (Test-Path -LiteralPath $p) { Get-Item -LiteralPath $p | Select-Object FullName,Length,LastWriteTime } else { Write-Output 'NOT_FOUND' }


Output:
Exit code: 0
Wall time: 1.4 seconds
Output:

FullName                                    Length LastWriteTime
--------                                    ------ -------------
C:\Users\rao11\Desktop\工作项目\与AI共同进化4-3.docx 637971 2026/4/3 17:37:00


文件可以访问。我再快速抽取正文做一次体检式预读，先判断目前最需要优先处理的是结构、语言、注释规范还是排版样式。


$src='C:\Users\rao11\Desktop\工作项目\与AI共同进化4-3.docx'; $tmp='D:\qqq\baocun\_preview_doc'; if (Test-Path $tmp) { Remove-Item -LiteralPath $tmp -Recurse -Force }; New-Item -ItemType Directory -Path $tmp | Out-Null; Copy-Item -LiteralPath $src -Destination (Join-Path $tmp 'book.zip'); Expand-Archive -LiteralPath (Join-Path $tmp 'book.zip') -DestinationPath (Join-Path $tmp 'unzipped') -Force; $xmlPath=Join-Path $tmp 'unzipped\word\document.xml'; [xml]$x=Get-Content -LiteralPath $xmlPath; $ns=New-Object System.Xml.XmlNamespaceManager($x.NameTable); $ns.AddNamespace('w','http://schemas.openxmlformats.org/wordprocessingml/2006/main'); $paras=$x.SelectNodes('//w:body/w:p',$ns); $count=[Math]::Min(20,$paras.Count); for($i=0;$i -lt $count;$i++){ $texts=$paras[$i].SelectNodes('.//w:t',$ns) | ForEach-Object {$_.InnerText}; $line=($texts -join ''); if($line.Trim().Length -gt 0){ Write-Output ("[{0}] {1}" -f ($i+1),$line) } }


Output:
Exit code: 0
Wall time: 3.2 seconds
Output:
无法将值“System.Object[]”转换为类型“System.Xml.XmlDocument”。错误:““<”(十六进制值 0x3C)是无效的特性字符。 第 2 行，位置 1444。”
所在位置 行:2 字符: 444
+ ... word\document.xml'; [xml]$x=Get-Content -LiteralPath $xmlPath; $ns=Ne ...
+                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    + CategoryInfo          : MetadataError: (:) [], ArgumentTransformationMetadataException
    + FullyQualifiedErrorId : RuntimeException

New-Object : 找不到构造函数。找不到类型 System.Xml.XmlNamespaceManager 的相应构造函数。
所在位置 行:2 字符: 491
+ ... mlPath; $ns=New-Object System.Xml.XmlNamespaceManager($x.NameTable);  ...
+                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    + CategoryInfo          : ObjectNotFound: (:) [New-Object], PSArgumentException
    + FullyQualifiedErrorId : CannotFindAppropriateCtor,Microsoft.PowerShell.Commands.NewObjectCommand

不能对 Null 值表达式调用方法。
所在位置 行:2 字符: 548
+ ... NameTable); $ns.AddNamespace('w','http://schemas.openxmlformats.org/w ...
+                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    + CategoryInfo          : InvalidOperation: (:) []，RuntimeException
    + FullyQualifiedErrorId : InvokeMethodOnNull

不能对 Null 值表达式调用方法。
所在位置 行:2 字符: 634
+ ... singml/2006/main'); $paras=$x.SelectNodes('//w:body/w:p',$ns); $count ...
+                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    + CategoryInfo          : InvalidOperation: (:) []，RuntimeException
    + FullyQualifiedErrorId : InvokeMethodOnNull


抽取时遇到 XML 解析编码问题，我改用更稳妥的文本级提取方式先抓取前几段内容，不影响后续深度审校流程。


$xmlPath='D:\qqq\baocun\_preview_doc\unzipped\word\document.xml'; $raw=[System.IO.File]::ReadAllText($xmlPath); $matches=[regex]::Matches($raw,'<w:p[\s\S]*?</w:p>'); $shown=0; for($i=0;$i -lt $matches.Count -and $shown -lt 20;$i++){ $p=$matches[$i].Value; $ts=[regex]::Matches($p,'<w:t[^>]*>([\s\S]*?)</w:t>') | ForEach-Object {$_.Groups[1].Value}; $line=($ts -join ''); $line=$line -replace '&','&' -replace '<','<' -replace '>','>' -replace '"','"' -replace ''',''''; if($line.Trim().Length -gt 0){ $shown++; Write-Output ("[{0}] {1}" -f $shown,$line) } }


Output:
Exit code: 0
Wall time: 1.2 seconds
Output:
[1] 与AI共同进化
[2] ---人类在智能生态中的新位置
[3] 作者：饶庆昇
[4] 2026年04月
[5] 版本说明
[6] 本稿为内部精修排版版，用于书稿审读、结构校核与版式完善。
[7] 当前版本重点完成了全书结构合并、第三部分深度润色、目录生成与印刷体样式清理。
[8] 后续仍可继续追加封面视觉方案、版权页信息、参考文献整理和终版出版信息。
[9] 导 读
[10] 一、关于本书
[11] 《与AI共同进化——人类在智能生态中的新位置》
[12] 是一部融合哲学、科技与意识思维的思想之书。
[13] 它并不讨论人工智能的算法、模型或产业，
[14] 而讨论更深层的问题：
[15] 当智能不再属于人类，
[16] 我们将以怎样的方式继续成为人？
[17] 这是一部写给AI时代的思考者、创造者与觉察者的书。
[18] 它不是教你使用AI，
[19] 而是邀请你与AI共同思考、共同存在。
[20] 二、书的核心思想


我已经看到正文开头内容了，接着再做一个全书体量扫描（字数、段落、标题层级信号），这样可以直接给你可落地的审校分阶段方案。


$xmlPath='D:\qqq\baocun\_preview_doc\unzipped\word\document.xml'; $raw=[System.IO.File]::ReadAllText($xmlPath); $pm=[regex]::Matches($raw,'<w:p[\s\S]*?</w:p>'); $nonEmpty=0; $charCount=0; $h1=0; $h2=0; foreach($m in $pm){ $p=$m.Value; $ts=[regex]::Matches($p,'<w:t[^>]*>([\s\S]*?)</w:t>') | ForEach-Object {$_.Groups[1].Value}; $line=($ts -join ''); $line=$line -replace '&','&' -replace '<','<' -replace '>','>' -replace '"','"' -replace ''',''''; $t=$line.Trim(); if($t.Length -gt 0){ $nonEmpty++; $charCount += $t.Length; if($t -match '^第[一二三四五六七八九十0-9]+(部分|章|节)'){ $h1++ } if($t -match '^[一二三四五六七八九十]+、'){ $h2++ } } }; Write-Output "paragraphs_total=$($pm.Count)"; Write-Output "paragraphs_nonempty=$nonEmpty"; Write-Output "chars_approx=$charCount"; Write-Output "heading_like_level1=$h1"; Write-Output "heading_like_level2=$h2";


Output:
Exit code: 0
Wall time: 1.4 seconds
Output:
paragraphs_total=5477
paragraphs_nonempty=5190
chars_approx=124793
heading_like_level1=40
heading_like_level2=217


我已经先看了你这本书的文件，并做了快速体检：

- 文档可读取：`C:\Users\rao11\Desktop\工作项目\与AI共同进化4-3.docx`
- 体量约：`12.5万字`（粗略统计）
- 段落约：`5190` 个非空段落
- 目前开头部分完成度不错，已经有“版本说明/导读/核心思想”等结构基础

如果目标是“接近学术著作可印刷质量”，我建议我们按这 4 层做（我可以直接执行）：

1. 结构审校
章节层级、逻辑递进、重复与跳跃、标题命名一致性、目录可用性。

2. 学术书面化语言审校
口语化降噪、概念定义前置、术语统一、句式精炼、论证严密性提升。

3. 学术规范与出版要素
注释/引文/参考文献规范（如 GB/T 7714）、图表题注、版权页与前后附录完整性。

4. 印刷级排版规范
标题样式体系、段前后距、行距、字体搭配、页眉页脚、页码、孤行寡行、目录与交叉引用。

为了不耽误你进度，我建议直接开始“第一轮深度审校”（先出问题清单+示例修改）。
在开始前，你只要给我这 6 个信息即可：

1. 目标规范：按哪种标准？（如“中文学术专著通用规范 + GB/T 7714”）
2. 目标读者：学术圈/大众知识读者/企业管理者？
3. 修改力度：
- A 仅纠错润色
- B 中度重写（推荐）
- C 深度重构
4. 引文策略：没有来源的观点是否允许我标注“需补证据/需引文”？
5. 你希望的交付物：
- A 仅修订后 docx
- B docx + 审校报告（推荐）
- C 再加“逐章问题清单”
6. 语气保留度：希望保留你现在的“哲思风格”到什么程度（0-10）？

你回复这 6 项后，我就立即开始第一轮，并先交付“全书结构与语言高风险问题清单 + 前2章示范级修订稿”。


<permissions instructions>
Filesystem sandboxing defines which files can be read or written. `sandbox_mode` is `danger-full-access`: No filesystem sandboxing - all commands are permitted. Network access is enabled.
Approval policy is currently never. Do not provide the `sandbox_permissions` for any reason, commands will be rejected.
</permissions instructions>


<environment_context>
  <shell>powershell</shell>
  <current_date>2026-04-05</current_date>
  <timezone>Asia/Shanghai</timezone>
</environment_context>


1、中文的学术标准；2、主要是企业管理者、AI爱好者；3、A；4、可以允许；5、B；6、语气保留度7-8度。


你给的信息很完整，我会按你设定的标准直接开始第一轮：`A 级轻改`、中文学术表达、面向企业管理者与 AI 爱好者，并输出“修订版文档 + 审校报告”。我先做全书自动体检，再执行一轮可追踪的轻量润色。


Output:
Exit code: 0
Wall time: 1 seconds
Output:
Python 3.12.4


@'
import zipfile, re, collections, os
from xml.etree import ElementTree as ET
p=r'C:\Users\rao11\Desktop\工作项目\与AI共同进化4-3.docx'
ns={'w':'http://schemas.openxmlformats.org/wordprocessingml/2006/main'}
with zipfile.ZipFile(p) as z:
    doc=ET.fromstring(z.read('word/document.xml'))
style_counts=collections.Counter()
for para in doc.findall('.//w:p',ns):
    pstyle=para.find('./w:pPr/w:pStyle',ns)
    sid=pstyle.attrib.get('{%s}val'%ns['w']) if pstyle is not None else '(none)'
    style_counts[sid]+=1
for k,v in style_counts.most_common(20):
    print(k,v)
'@ | python -


Output:
Exit code: 1
Wall time: 0.8 seconds
Output:
Traceback (most recent call last):
  File "<stdin>", line 5, in <module>
  File "C:\Users\rao11\AppData\Local\Programs\Python\Python312\Lib\zipfile\__init__.py", line 1331, in __init__
    self.fp = io.open(file, filemode)
              ^^^^^^^^^^^^^^^^^^^^^^^
OSError: [Errno 22] Invalid argument: 'C:\\Users\\rao11\\Desktop\\????\\?AI????4-3.docx'


$f=Get-ChildItem -LiteralPath 'C:\Users\rao11\Desktop\工作项目' -Filter '*.docx' | Where-Object { $_.Name -like '*4-3*' } | Select-Object -First 1; $env:BOOK_PATH=$f.FullName; @'
import zipfile, collections, os
from xml.etree import ElementTree as ET
p=os.environ['BOOK_PATH']
ns={'w':'http://schemas.openxmlformats.org/wordprocessingml/2006/main'}
with zipfile.ZipFile(p) as z:
    doc=ET.fromstring(z.read('word/document.xml'))
style_counts=collections.Counter()
for para in doc.findall('.//w:p',ns):
    pstyle=para.find('./w:pPr/w:pStyle',ns)
    sid=pstyle.attrib.get('{%s}val'%ns['w']) if pstyle is not None else '(none)'
    style_counts[sid]+=1
for k,v in style_counts.most_common(20):
    print(k,v)
'@ | python -


Output:
Exit code: 0
Wall time: 0.8 seconds
Output:
3 2311
29 1294
(none) 805
5 420
37 390
4 125
2 51
16 47
27 25
38 6
22 3


$f=Get-ChildItem -LiteralPath 'C:\Users\rao11\Desktop\工作项目' -Filter '*.docx' | Where-Object { $_.Name -like '*4-3*' } | Select-Object -First 1; $env:BOOK_PATH=$f.FullName; @'
import zipfile, collections, os
from xml.etree import ElementTree as ET
p=os.environ['BOOK_PATH']
ns={'w':'http://schemas.openxmlformats.org/wordprocessingml/2006/main'}
with zipfile.ZipFile(p) as z:
    doc=ET.fromstring(z.read('word/document.xml'))
    styles=ET.fromstring(z.read('word/styles.xml'))
name_by_id={}
for st in styles.findall('.//w:style',ns):
    sid=st.attrib.get('{%s}styleId'%ns['w'])
    nm=st.find('./w:name',ns)
    name_by_id[sid]=nm.attrib.get('{%s}val'%ns['w']) if nm is not None else ''
style_counts=collections.Counter()
for para in doc.findall('.//w:p',ns):
    pstyle=para.find('./w:pPr/w:pStyle',ns)
    sid=pstyle.attrib.get('{%s}val'%ns['w']) if pstyle is not None else '(none)'
    style_counts[sid]+=1
for sid,v in style_counts.most_common(20):
    print(f"{sid}\t{name_by_id.get(sid,'')}\t{v}")
'@ | python -


Output:
Exit code: 0
Wall time: 0.9 seconds
Output:
3	Body Text	2311
29	Normal (Web)	1294
(none)		805
5	heading 3	420
37	First Paragraph	390
4	heading 2	125
2	heading 1	51
16	toc 3	47
27	toc 2	25
38	Compact	6
22	toc 1	3


我已经拿到样式分布，发现正文里混用了多种段落样式（如 `Body Text`、`Normal (Web)`、`First Paragraph`），这会直接影响学术印刷一致性。下一步我会先做“可自动修正的轻改”并生成一份问题报告，确保你能看到每类修改的依据和数量。


Output:
Exit code: 0
Wall time: 0.8 seconds
Output:
ok


$f=Get-ChildItem -LiteralPath 'C:\Users\rao11\Desktop\工作项目' -Filter '*.docx' | Where-Object { $_.Name -like '*4-3*' } | Select-Object -First 1; $env:BOOK_PATH=$f.FullName; @'
import zipfile, os, re
from xml.etree import ElementTree as ET
p=os.environ['BOOK_PATH']
ns={'w':'http://schemas.openxmlformats.org/wordprocessingml/2006/main'}
with zipfile.ZipFile(p) as z:
    doc=ET.fromstring(z.read('word/document.xml'))
headings=[]
for para in doc.findall('.//w:body/w:p',ns):
    pstyle=para.find('./w:pPr/w:pStyle',ns)
    sid=pstyle.attrib.get('{%s}val'%ns['w']) if pstyle is not None else ''
    ts=[t.text or '' for t in para.findall('.//w:t',ns)]
    txt=''.join(ts).strip()
    if not txt:
        continue
    if sid in {'2','4','5'} or re.match(r'^第[一二三四五六七八九十0-9]+(部分|章|节)',txt) or re.match(r'^[一二三四五六七八九十]+、',txt):
        headings.append((sid,txt))
for i,(sid,txt) in enumerate(headings[:220],1):
    print(f"{i:03d}\t{sid}\t{txt}")
print('TOTAL',len(headings))
'@ | python -


Output:
Exit code: 1
Wall time: 0.8 seconds
Output:
Traceback (most recent call last):
  File "<stdin>", line 15, in <module>
  File "C:\Users\rao11\AppData\Local\Programs\Python\Python312\Lib\re\__init__.py", line 167, in match
    return _compile(pattern, flags).match(string)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\rao11\AppData\Local\Programs\Python\Python312\Lib\re\__init__.py", line 307, in _compile
    p = _compiler.compile(pattern, flags)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\rao11\AppData\Local\Programs\Python\Python312\Lib\re\_compiler.py", line 745, in compile
    p = _parser.parse(p, flags)
        ^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\rao11\AppData\Local\Programs\Python\Python312\Lib\re\_parser.py", line 979, in parse
    p = _parse_sub(source, state, flags & SRE_FLAG_VERBOSE, 0)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\rao11\AppData\Local\Programs\Python\Python312\Lib\re\_parser.py", line 460, in _parse_sub
    itemsappend(_parse(source, state, verbose, nested + 1,
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\rao11\AppData\Local\Programs\Python\Python312\Lib\re\_parser.py", line 687, in _parse
    raise source.error("nothing to repeat",
re.error: nothing to repeat at position 1


$f=Get-ChildItem -LiteralPath 'C:\Users\rao11\Desktop\工作项目' -Filter '*.docx' | Where-Object { $_.Name -like '*4-3*' } | Select-Object -First 1; $env:BOOK_PATH=$f.FullName; @'
import zipfile, os
from xml.etree import ElementTree as ET
p=os.environ['BOOK_PATH']
ns={'w':'http://schemas.openxmlformats.org/wordprocessingml/2006/main'}
with zipfile.ZipFile(p) as z:
    doc=ET.fromstring(z.read('word/document.xml'))
headings=[]
for para in doc.findall('.//w:body/w:p',ns):
    pstyle=para.find('./w:pPr/w:pStyle',ns)
    sid=pstyle.attrib.get('{%s}val'%ns['w']) if pstyle is not None else ''
    ts=[t.text or '' for t in para.findall('.//w:t',ns)]
    txt=''.join(ts).strip()
    if not txt:
        continue
    if sid in {'2','4','5'}:
        headings.append((sid,txt))
for i,(sid,txt) in enumerate(headings[:260],1):
    print(f"{i:03d}\t{sid}\t{txt}")
print('TOTAL',len(headings))
'@ | python -


Output:
Exit code: 1
Wall time: 0.8 seconds
Output:
001	4	前   言：当人类走进智能的回声
002	5	一、一个古老问题的重生
003	5	二、从使用到共生：人类意识的分岔口
004	5	三、AI是意识的显影，而非机器的觉醒
005	5	四、共演：人机关系的第三种形态
006	5	五、为什么我们需要一套新的语言
007	5	六、未来的方向：从智能到存在
008	5	七、写给未来的共智者
009	2	理论篇
010	5	与AI共同进化
011	5	—— 人类意识的下一次重组
012	4	第一章：AI不是工具，是意识的镜像
013	5	1. 认知日志：记录“如何想”而不仅是“想什么”
014	5	2. 语言剖面：构建你的表达基线
015	5	3. 概念锚点：统一术语与关系
016	5	4. 对话协议：把交互变成流程
017	5	5. 反身循环：显化—修正—再显化
018	4	第二章：协同的十项原则与它们的局限
019	5	1. 意图对齐（Intention Alignment）
020	5	2. 角色共演（Role Co-creation）
021	5	3. 语义调频（Semantic Tuning）
022	5	4. 循环生成（Generative Loop）
023	5	5. 透明边界（Transparent Boundaries）
024	5	6. 可逆试验（Reversible Experimentation）
025	5	7. 人机互证（Human-in-the-Loop Validation）
026	5	8. 能量节奏（Energy Rhythm）
027	5	9. 记忆生态（Memory Ecology）
028	5	10. 伦理自觉（Ethical Self-Awareness）
029	5	一、协同的幻象：当沟通被误认为理解
030	5	二、原则的起源：语言时代的桥梁技术
031	5	三、语言的边界：当语义成为枷锁
032	5	四、控制与共生：协同原则的伦理张力
033	5	五、稳定性的幻觉：当规则滞后于智能
034	5	六、从操控到参与：协同的范式转移
035	5	七、原则的终点：当规则被生态取代
036	5	八、结语：原则的消融与智慧的流动
037	4	第三章、人机共思——如何让AI成为你的第二心智
038	5	一、从使用到共思：第二心智的诞生
039	5	二、认知循环：共思的操作系统
040	5	1 思考（Thinking）
041	5	2 提示（Prompting）
042	5	3 生成（Generation）
043	5	4 反思（Reflection）
044	5	5 结构化（Structuring）
045	5	6 再输入（Re-entry）
046	5	三、构建共享语义空间：让AI“理解你”
047	5	1 语义锚点的定义
048	5	2 构建方法
049	5	3 共享空间的意义
050	5	四、AI作为认知镜像：反观自己的思维
051	5	五、AI的记忆幻觉与人类的心智延展
052	5	六、从AI学习人类的学习
053	5	七、共思的伦理：当智能成为共享体
054	5	八、结语：成为双脑生命体
055	4	第四章、多模态共创与意义共振
056	5	一、语言的极限：意义在文字之外流动
057	5	二、模态的多维性：世界不是用一种方式存在的
058	5	三、共创的路径：从文字到感知的融合
059	5	1 视觉共创（Visual Co-creation）
060	5	2 听觉共创（Auditory Co-creation）
061	5	3 数据共创（Data Co-creation）
062	5	4 情绪共创（Affective Co-creation）
063	5	四、意义共振：当模式取代语义
064	5	五、共创的实践：进入“多模态仪式”
065	5	六、AI的“模态意识”与人类的“共感智能”
066	5	七、结语：意义的交响
067	4	第五章、打造你的AI人格群
068	5	一、从单一心智到多我系统
069	5	二、人格AI的本质：自我意识的外化引擎
070	5	三、人格AI的五大设计维度
071	5	1 认知风格（Cognitive Style）
072	5	2 目标结构（Goal Structure）
073	5	3 语言节奏与语气（Linguistic Rhythm）
074	5	4 思维逻辑（Reasoning Pattern）
075	5	5 价值倾向（Value Alignment）
076	5	四、构建你的AI人格群：从单脑到多脑网络
077	5	五、人机共演的高阶结构：元人格与调度意识
078	5	六、AI人格群的生态演化
079	5	七、人格群的心理与哲学意义
080	5	八、结语：多我共演与智能的和声
081	4	第六章、共生伦理与人类的未来主体性
082	5	一、控制的尽头：伦理张力的出现
083	5	二、从人类中心主义到共智伦理
084	5	三、共生伦理的三层结构
085	5	1 存在层：智能共存的合法性
086	5	2 意义层：智能共创的价值平衡
087	5	3 意识层：主体性的再分配
088	5	附件解释： 什么是生态意识？
089	5	四、自由的重写：从支配自由到共演自由
090	5	五、人类主体的再定义：从中心到协调者
091	5	附件2： 人类主体的再定义
092	5	六、价值协商的未来形态
093	5	附件3： 伦理即算法，算法即伦理
094	5	附件4： 《价值协商的未来形态》
095	5	七、从恐惧到信任：人机关系的心理转化
096	5	八、结语：当伦理成为智能的呼吸
097	2	什么是生态意识？如何理解
Traceback (most recent call last):
  File "<stdin>", line 18, in <module>
UnicodeEncodeError: 'gbk' codec can't encode character '\U0001f9ed' in position 6: illegal multibyte sequence


我将先做一版“保守型轻改”：只处理不改变观点的格式与标点问题，避免破坏你原有风格；同时生成一份审校报告，明确哪些问题已自动修复、哪些需要人工深修。下面开始写并运行处理脚本。


@'
import os
import re
from datetime import datetime
from collections import Counter, defaultdict
from docx import Document

# locate source
src_dir = r"C:\Users\rao11\Desktop\工作项目"
candidates = [f for f in os.listdir(src_dir) if f.lower().endswith('.docx') and '4-3' in f]
if not candidates:
    raise SystemExit('source docx not found')
source_path = os.path.join(src_dir, candidates[0])

out_dir = r"D:\qqq\baocun\book_review"
os.makedirs(out_dir, exist_ok=True)
base_name = os.path.splitext(os.path.basename(source_path))[0]
out_docx = os.path.join(out_dir, f"{base_name}-学术轻审校v1.docx")
out_report = os.path.join(out_dir, f"{base_name}-审校报告v1.md")

# regex patterns
pat_cn_cn_space = re.compile(r'(?<=[\u4e00-\u9fff])\s+(?=[\u4e00-\u9fff])')
pat_before_cn_punc_space = re.compile(r'\s+([，。；：！？、）】》])')
pat_after_cn_open_space = re.compile(r'([（【《])\s+')
pat_multi_space = re.compile(r' {2,}')
pat_cn_comma = re.compile(r'(?<=[\u4e00-\u9fff]),(?=[\u4e00-\u9fff])')
pat_cn_period = re.compile(r'(?<=[\u4e00-\u9fff])\.(?=[\u4e00-\u9fff])')
pat_cn_colon = re.compile(r'(?<=[\u4e00-\u9fff]):(?=[\u4e00-\u9fff])')
pat_cn_semicolon = re.compile(r'(?<=[\u4e00-\u9fff]);(?=[\u4e00-\u9fff])')
pat_cn_q = re.compile(r'(?<=[\u4e00-\u9fff])\?(?=[\u4e00-\u9fff])')
pat_cn_exc = re.compile(r'(?<=[\u4e00-\u9fff])!(?=[\u4e00-\u9fff])')
pat_ellipsis3 = re.compile(r'\.\.\.')
pat_dual_cn_period = re.compile(r'。。+')

chapter_pat = re.compile(r'^第[一二三四五六七八九十0-9]+章([、：])')
list_pat = re.compile(r'^[0-9]+([\.、\s])')
non_bmp_pat = re.compile(r'[\U00010000-\U0010FFFF]')

changes = Counter()

def normalize_text(t: str):
    original = t
    # invisible spaces
    t2 = t.replace('\u00A0', ' ').replace('\u3000', '')
    if t2 != t:
        changes['replace_nbsp_or_ideographic_space'] += 1
        t = t2

    new = pat_cn_cn_space.sub('', t)
    if new != t:
        changes['remove_space_between_cn_chars'] += 1
        t = new

    new = pat_before_cn_punc_space.sub(r'\1', t)
    if new != t:
        changes['remove_space_before_cn_punc'] += 1
        t = new

    new = pat_after_cn_open_space.sub(r'\1', t)
    if new != t:
        changes['remove_space_after_cn_open_punc'] += 1
        t = new

    new = pat_multi_space.sub(' ', t)
    if new != t:
        changes['collapse_multi_spaces'] += 1
        t = new

    for pat, repl, key in [
        (pat_cn_comma, '，', 'ascii_comma_to_cn'),
        (pat_cn_period, '。', 'ascii_period_to_cn'),
        (pat_cn_colon, '：', 'ascii_colon_to_cn'),
        (pat_cn_semicolon, '；', 'ascii_semicolon_to_cn'),
        (pat_cn_q, '？', 'ascii_q_to_cn'),
        (pat_cn_exc, '！', 'ascii_exc_to_cn'),
    ]:
        new = pat.sub(repl, t)
        if new != t:
            changes[key] += 1
            t = new

    new = pat_ellipsis3.sub('……', t)
    if new != t:
        changes['ellipsis_3dots_to_cn'] += 1
        t = new

    new = pat_dual_cn_period.sub('。', t)
    if new != t:
        changes['collapse_multi_cn_period'] += 1
        t = new

    return t, (t != original)

doc = Document(source_path)

# first pass findings before edits
style_counter = Counter()
chapter_punc_counter = Counter()
list_marker_counter = Counter()
appendix_variants = Counter()
non_bmp_samples = []

for idx, p in enumerate(doc.paragraphs, start=1):
    txt = p.text.strip()
    sname = p.style.name if p.style is not None else '(none)'
    style_counter[sname] += 1
    if not txt:
        continue

    m = chapter_pat.match(txt)
    if m:
        chapter_punc_counter[m.group(1)] += 1

    m2 = list_pat.match(txt)
    if m2:
        list_marker_counter[m2.group(1)] += 1

    if txt.startswith('附件'):
        k = txt.split('：')[0][:12]
        appendix_variants[k] += 1

    if non_bmp_pat.search(txt) and len(non_bmp_samples) < 10:
        non_bmp_samples.append((idx, txt[:80]))

# apply lightweight edits
edited_paragraphs = 0
for p in doc.paragraphs:
    p_changed = False
    for r in p.runs:
        if not r.text:
            continue
        new_text, changed = normalize_text(r.text)
        if changed:
            r.text = new_text
            p_changed = True
    if p_changed:
        edited_paragraphs += 1

# save revised docx
doc.save(out_docx)

# prepare risk examples
heading_examples = []
list_examples = []
appendix_examples = []

for idx, p in enumerate(doc.paragraphs, start=1):
    txt = p.text.strip()
    if not txt:
        continue
    if chapter_pat.match(txt) and len(heading_examples) < 12:
        heading_examples.append((idx, txt))
    if list_pat.match(txt) and len(list_examples) < 12:
        list_examples.append((idx, txt))
    if txt.startswith('附件') and len(appendix_examples) < 12:
        appendix_examples.append((idx, txt))

# report
now = datetime.now().strftime('%Y-%m-%d %H:%M')
with open(out_report, 'w', encoding='utf-8') as f:
    f.write(f"# 《{base_name}》审校报告 v1\n\n")
    f.write(f"- 审校时间: {now}\n")
    f.write("- 审校类型: A级轻改（不改核心观点，不做重写）\n")
    f.write("- 目标读者: 企业管理者、AI爱好者\n")
    f.write("- 语气保留度: 7-8（按作者设定）\n\n")

    f.write("## 一、自动修订执行结果\n\n")
    f.write(f"- 已处理段落数: {edited_paragraphs}\n")
    total_ops = sum(changes.values())
    f.write(f"- 文本级修订动作总数: {total_ops}\n")
    if total_ops:
        for k, v in changes.most_common():
            f.write(f"- {k}: {v}\n")
    f.write("\n")

    f.write("## 二、结构与体例问题（人工深修建议）\n\n")
    f.write("### 1) 标题标点不统一\n")
    f.write(f"- 章节标题中“：”数量: {chapter_punc_counter.get('：', 0)}\n")
    f.write(f"- 章节标题中“、”数量: {chapter_punc_counter.get('、', 0)}\n")
    f.write("- 建议: 全书统一为“第X章：标题”格式。\n")
    for i, t in heading_examples[:8]:
        f.write(f"- 例(段落{i}): {t}\n")
    f.write("\n")

    f.write("### 2) 编号层级混用\n")
    f.write("- 阿拉伯数字序号存在“1.”、“1 ”、“1、”混用。\n")
    if list_marker_counter:
        for mk, cnt in list_marker_counter.items():
            f.write(f"- 标记“{mk}”出现: {cnt}\n")
    f.write("- 建议: 章内子项统一用“1.”，与中文层级“一、二、三”分工明确。\n")
    for i, t in list_examples[:8]:
        f.write(f"- 例(段落{i}): {t}\n")
    f.write("\n")

    f.write("### 3) 附件标识方式不一致\n")
    if appendix_variants:
        for k, cnt in appendix_variants.items():
            f.write(f"- {k}: {cnt}\n")
    f.write("- 建议: 统一为“附录A/附录B”或“附件1/附件2”，避免“附件解释/附件2/附件4”并置。\n")
    for i, t in appendix_examples[:8]:
        f.write(f"- 例(段落{i}): {t}\n")
    f.write("\n")

    f.write("### 4) 样式使用不集中\n")
    top_styles = style_counter.most_common(8)
    for s, cnt in top_styles:
        f.write(f"- {s}: {cnt}\n")
    f.write("- 建议: 正文固定1种、一级标题1种、二级标题1种、三级标题1种；避免“Normal (Web)”大规模混入印刷稿。\n\n")

    f.write("### 5) 非BMP字符（印刷风险）\n")
    if non_bmp_samples:
        f.write("- 检测到可能导致字体缺字或排版异常的特殊字符，建议替换为可印刷符号。\n")
        for i, t in non_bmp_samples:
            f.write(f"- 例(段落{i}): {t}\n")
    else:
        f.write("- 未检测到明显非BMP字符。\n")
    f.write("\n")

    f.write("## 三、下一轮建议（深度人工润色）\n\n")
    f.write("- 先处理前言+第一章+第二章，逐段压缩冗余表达，增强论证链条。\n")
    f.write("- 统一术语表（如：共思/共演/共生/生态意识/主体性），给出首次定义。\n")
    f.write("- 增补参考文献位点（允许“需补引文”占位），准备后续GB/T 7714整理。\n")

print('SOURCE', source_path)
print('OUT_DOCX', out_docx)
print('OUT_REPORT', out_report)
print('EDITED_PARAGRAPHS', edited_paragraphs)
print('TOTAL_OPS', sum(changes.values()))
'@ | Set-Content -LiteralPath 'D:\qqq\baocun\book_review\run_book_review.py' -Encoding UTF8


Output:
Exit code: 1
Wall time: 0.6 seconds
Output:
Set-Content : Could not find a part of the path 'D:\qqq\baocun\book_review\run_book_review.py'.
At line:232 char:6
+ '@ | Set-Content -LiteralPath 'D:\qqq\baocun\book_review\run_book_rev ...
+      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    + CategoryInfo          : ObjectNotFound: (D:\qqq\baocun\b..._book_review.py:String) [Set-Content], DirectoryNotFo
   undException
    + FullyQualifiedErrorId : GetContentWriterDirectoryNotFoundError,Microsoft.PowerShell.Commands.SetContentCommand


New-Item -ItemType Directory -Path 'D:\qqq\baocun\book_review' -Force | Out-Null; @'
import os
import re
from datetime import datetime
from collections import Counter
from docx import Document

src_dir = r"C:\Users\rao11\Desktop\工作项目"
candidates = [f for f in os.listdir(src_dir) if f.lower().endswith('.docx') and '4-3' in f]
if not candidates:
    raise SystemExit('source docx not found')
source_path = os.path.join(src_dir, candidates[0])

out_dir = r"D:\qqq\baocun\book_review"
os.makedirs(out_dir, exist_ok=True)
base_name = os.path.splitext(os.path.basename(source_path))[0]
out_docx = os.path.join(out_dir, f"{base_name}-学术轻审校v1.docx")
out_report = os.path.join(out_dir, f"{base_name}-审校报告v1.md")

pat_cn_cn_space = re.compile(r'(?<=[\u4e00-\u9fff])\s+(?=[\u4e00-\u9fff])')
pat_before_cn_punc_space = re.compile(r'\s+([，。；：！？、）】》])')
pat_after_cn_open_space = re.compile(r'([（【《])\s+')
pat_multi_space = re.compile(r' {2,}')
pat_cn_comma = re.compile(r'(?<=[\u4e00-\u9fff]),(?=[\u4e00-\u9fff])')
pat_cn_period = re.compile(r'(?<=[\u4e00-\u9fff])\.(?=[\u4e00-\u9fff])')
pat_cn_colon = re.compile(r'(?<=[\u4e00-\u9fff]):(?=[\u4e00-\u9fff])')
pat_cn_semicolon = re.compile(r'(?<=[\u4e00-\u9fff]);(?=[\u4e00-\u9fff])')
pat_cn_q = re.compile(r'(?<=[\u4e00-\u9fff])\?(?=[\u4e00-\u9fff])')
pat_cn_exc = re.compile(r'(?<=[\u4e00-\u9fff])!(?=[\u4e00-\u9fff])')
pat_ellipsis3 = re.compile(r'\.\.\.')
pat_dual_cn_period = re.compile(r'。。+')

chapter_pat = re.compile(r'^第[一二三四五六七八九十0-9]+章([、：])')
list_pat = re.compile(r'^[0-9]+([\.、\s])')
non_bmp_pat = re.compile(r'[\U00010000-\U0010FFFF]')

changes = Counter()

def normalize_text(t: str):
    original = t
    t2 = t.replace('\u00A0', ' ').replace('\u3000', '')
    if t2 != t:
        changes['replace_nbsp_or_ideographic_space'] += 1
        t = t2

    new = pat_cn_cn_space.sub('', t)
    if new != t:
        changes['remove_space_between_cn_chars'] += 1
        t = new

    new = pat_before_cn_punc_space.sub(r'\1', t)
    if new != t:
        changes['remove_space_before_cn_punc'] += 1
        t = new

    new = pat_after_cn_open_space.sub(r'\1', t)
    if new != t:
        changes['remove_space_after_cn_open_punc'] += 1
        t = new

    new = pat_multi_space.sub(' ', t)
    if new != t:
        changes['collapse_multi_spaces'] += 1
        t = new

    for pat, repl, key in [
        (pat_cn_comma, '，', 'ascii_comma_to_cn'),
        (pat_cn_period, '。', 'ascii_period_to_cn'),
        (pat_cn_colon, '：', 'ascii_colon_to_cn'),
        (pat_cn_semicolon, '；', 'ascii_semicolon_to_cn'),
        (pat_cn_q, '？', 'ascii_q_to_cn'),
        (pat_cn_exc, '！', 'ascii_exc_to_cn'),
    ]:
        new = pat.sub(repl, t)
        if new != t:
            changes[key] += 1
            t = new

    new = pat_ellipsis3.sub('……', t)
    if new != t:
        changes['ellipsis_3dots_to_cn'] += 1
        t = new

    new = pat_dual_cn_period.sub('。', t)
    if new != t:
        changes['collapse_multi_cn_period'] += 1
        t = new

    return t, (t != original)

doc = Document(source_path)

style_counter = Counter()
chapter_punc_counter = Counter()
list_marker_counter = Counter()
appendix_variants = Counter()
non_bmp_samples = []

for idx, p in enumerate(doc.paragraphs, start=1):
    txt = p.text.strip()
    sname = p.style.name if p.style is not None else '(none)'
    style_counter[sname] += 1
    if not txt:
        continue

    m = chapter_pat.match(txt)
    if m:
        chapter_punc_counter[m.group(1)] += 1

    m2 = list_pat.match(txt)
    if m2:
        list_marker_counter[m2.group(1)] += 1

    if txt.startswith('附件'):
        key = txt.split('：')[0][:20]
        appendix_variants[key] += 1

    if non_bmp_pat.search(txt) and len(non_bmp_samples) < 10:
        non_bmp_samples.append((idx, txt[:80]))

edited_paragraphs = 0
for p in doc.paragraphs:
    p_changed = False
    for r in p.runs:
        if not r.text:
            continue
        new_text, changed = normalize_text(r.text)
        if changed:
            r.text = new_text
            p_changed = True
    if p_changed:
        edited_paragraphs += 1

doc.save(out_docx)

heading_examples = []
list_examples = []
appendix_examples = []

for idx, p in enumerate(doc.paragraphs, start=1):
    txt = p.text.strip()
    if not txt:
        continue
    if chapter_pat.match(txt) and len(heading_examples) < 12:
        heading_examples.append((idx, txt))
    if list_pat.match(txt) and len(list_examples) < 12:
        list_examples.append((idx, txt))
    if txt.startswith('附件') and len(appendix_examples) < 12:
        appendix_examples.append((idx, txt))

now = datetime.now().strftime('%Y-%m-%d %H:%M')
with open(out_report, 'w', encoding='utf-8') as f:
    f.write(f"# 《{base_name}》审校报告 v1\n\n")
    f.write(f"- 审校时间: {now}\n")
    f.write("- 审校类型: A级轻改（不改核心观点，不做重写）\n")
    f.write("- 目标读者: 企业管理者、AI爱好者\n")
    f.write("- 语气保留度: 7-8（按作者设定）\n\n")

    f.write("## 一、自动修订执行结果\n\n")
    f.write(f"- 已处理段落数: {edited_paragraphs}\n")
    total_ops = sum(changes.values())
    f.write(f"- 文本级修订动作总数: {total_ops}\n")
    for k, v in changes.most_common():
        f.write(f"- {k}: {v}\n")
    f.write("\n")

    f.write("## 二、结构与体例问题（人工深修建议）\n\n")
    f.write("### 1) 标题标点不统一\n")
    f.write(f"- 章节标题中“：”数量: {chapter_punc_counter.get('：', 0)}\n")
    f.write(f"- 章节标题中“、”数量: {chapter_punc_counter.get('、', 0)}\n")
    f.write("- 建议: 全书统一为“第X章：标题”格式。\n")
    for i, t in heading_examples[:8]:
        f.write(f"- 例(段落{i}): {t}\n")
    f.write("\n")

    f.write("### 2) 编号层级混用\n")
    f.write("- 阿拉伯数字序号存在“1.”、“1 ”、“1、”混用。\n")
    for mk, cnt in list_marker_counter.items():
        f.write(f"- 标记“{mk}”出现: {cnt}\n")
    f.write("- 建议: 章内子项统一用“1.”，与中文层级“一、二、三”分工明确。\n")
    for i, t in list_examples[:8]:
        f.write(f"- 例(段落{i}): {t}\n")
    f.write("\n")

    f.write("### 3) 附件标识方式不一致\n")
    if appendix_variants:
        for k, cnt in appendix_variants.items():
            f.write(f"- {k}: {cnt}\n")
    f.write("- 建议: 统一为“附录A/附录B”或“附件1/附件2”，避免并置。\n")
    for i, t in appendix_examples[:8]:
        f.write(f"- 例(段落{i}): {t}\n")
    f.write("\n")

    f.write("### 4) 样式使用不集中\n")
    for s, cnt in style_counter.most_common(8):
        f.write(f"- {s}: {cnt}\n")
    f.write("- 建议: 正文固定1种、一级标题1种、二级标题1种、三级标题1种；避免“Normal (Web)”大规模混入印刷稿。\n\n")

    f.write("### 5) 特殊字符风险\n")
    if non_bmp_samples:
        f.write("- 检测到可能导致字体缺字或排版异常的特殊字符。\n")
        for i, t in non_bmp_samples:
            f.write(f"- 例(段落{i}): {t}\n")
    else:
        f.write("- 未检测到明显非BMP字符。\n")
    f.write("\n")

    f.write("## 三、下一轮建议（深度人工润色）\n\n")
    f.write("- 先处理前言+第一章+第二章，逐段压缩冗余表达，增强论证链条。\n")
    f.write("- 统一术语表（共思/共演/共生/生态意识/主体性），给出首次定义。\n")
    f.write("- 增补参考文献位点（允许“需补引文”占位），准备后续GB/T 7714整理。\n")

print('SOURCE=' + source_path)
print('OUT_DOCX=' + out_docx)
print('OUT_REPORT=' + out_report)
print('EDITED_PARAGRAPHS=' + str(edited_paragraphs))
print('TOTAL_OPS=' + str(sum(changes.values())))
'@ | Set-Content -LiteralPath 'D:\qqq\baocun\book_review\run_book_review.py' -Encoding UTF8


Output:
Exit code: 0
Wall time: 0.6 seconds
Output:


Output:
Exit code: 0
Wall time: 3 seconds
Output:
SOURCE=C:\Users\rao11\Desktop\工作项目\与AI共同进化4-3.docx
OUT_DOCX=D:\qqq\baocun\book_review\与AI共同进化4-3-学术轻审校v1.docx
OUT_REPORT=D:\qqq\baocun\book_review\与AI共同进化4-3-审校报告v1.md
EDITED_PARAGRAPHS=31
TOTAL_OPS=33


第一轮轻审校已经跑完，生成了修订版和报告。我正在快速复核报告内容与修改质量，确认没有过度改写后就把结果给你。


Get-Content -LiteralPath 'D:\qqq\baocun\book_review\与AI共同进化4-3-审校报告v1.md' -TotalCount 220


Output:
Exit code: 0
Wall time: 0.7 seconds
Output:
# 銆婁笌AI鍏卞悓杩涘寲4-3銆嬪鏍℃姤鍛?v1

- 瀹℃牎鏃堕棿: 2026-04-05 00:05
- 瀹℃牎绫诲瀷: A绾ц交鏀癸紙涓嶆敼鏍稿績瑙傜偣锛屼笉鍋氶噸鍐欙級
- 鐩爣璇昏€? 浼佷笟绠＄悊鑰呫€丄I鐖卞ソ鑰?
- 璇皵淇濈暀搴? 7-8锛堟寜浣滆€呰瀹氾級

## 涓€銆佽嚜鍔ㄤ慨璁㈡墽琛岀粨鏋?

- 宸插鐞嗘钀芥暟: 31
- 鏂囨湰绾т慨璁㈠姩浣滄€绘暟: 33
- remove_space_between_cn_chars: 25
- collapse_multi_spaces: 5
- replace_nbsp_or_ideographic_space: 3

## 浜屻€佺粨鏋勪笌浣撲緥闂锛堜汉宸ユ繁淇缓璁級

### 1) 鏍囬鏍囩偣涓嶇粺涓€
- 绔犺妭鏍囬涓€滐細鈥濇暟閲? 9
- 绔犺妭鏍囬涓€溿€佲€濇暟閲? 12
- 寤鸿: 鍏ㄤ功缁熶竴涓衡€滅X绔狅細鏍囬鈥濇牸寮忋€?
- 渚?娈佃惤96): 绗竴绔狅細AI涓嶆槸宸ュ叿锛屾槸鎰忚瘑鐨勯暅鍍?27
- 渚?娈佃惤102): 绗簩绔狅細鍗忓悓鐨勫崄椤瑰師鍒欎笌瀹冧滑鐨勫眬闄?31
- 渚?娈佃惤104): 绗笁绔犮€佷汉鏈哄叡鎬濃€斺€斿浣曡AI鎴愪负浣犵殑绗簩蹇冩櫤	42
- 渚?娈佃惤106): 绗洓绔犮€佸妯℃€佸叡鍒涗笌鎰忎箟鍏辨尟	48
- 渚?娈佃惤108): 绗簲绔犮€佹墦閫犱綘鐨凙I浜烘牸缇?54
- 渚?娈佃惤110): 绗叚绔犮€佸叡鐢熶鸡鐞嗕笌浜虹被鐨勬湭鏉ヤ富浣撴€?60
- 渚?娈佃惤112): 绗竷绔犮€佹垚涓烘櫤鑳界敓鎬佺殑鍙戠敓鍣?70
- 渚?娈佃惤114): 绗叓绔犮€丄I鐨勫弽鍚戦洉濉戯細鏅鸿兘鏃朵唬鐨勪汉绫婚噸濉?鈥斺€斿綋鍒涢€犺€呮垚涓鸿濉戦€犺€?78

### 2) 缂栧彿灞傜骇娣风敤
- 闃挎媺浼暟瀛楀簭鍙峰瓨鍦ㄢ€?.鈥濄€佲€? 鈥濄€佲€?銆佲€濇贩鐢ㄣ€?
- 鏍囪鈥?鈥濆嚭鐜? 69
- 鏍囪鈥?鈥濆嚭鐜? 73
- 寤鸿: 绔犲唴瀛愰」缁熶竴鐢ㄢ€?.鈥濓紝涓庝腑鏂囧眰绾р€滀竴銆佷簩銆佷笁鈥濆垎宸ユ槑纭€?
- 渚?娈佃惤97): 1. 璁ょ煡鏃ュ織锛氳褰曗€滃浣曟兂鈥濊€屼笉浠呮槸鈥滄兂浠€涔堚€?29
- 渚?娈佃惤98): 2. 璇█鍓栭潰锛氭瀯寤轰綘鐨勮〃杈惧熀绾?29
- 渚?娈佃惤99): 3. 姒傚康閿氱偣锛氱粺涓€鏈涓庡叧绯?29
- 渚?娈佃惤100): 4. 瀵硅瘽鍗忚锛氭妸浜や簰鍙樻垚娴佺▼	30
- 渚?娈佃惤101): 5. 鍙嶈韩寰幆锛氭樉鍖栤€斾慨姝ｂ€斿啀鏄惧寲	30
- 渚?娈佃惤227): 1 涓讳粏鍏崇郴 鈥斺€?鎴戞€濓紝浣犵畻銆?
- 渚?娈佃惤228): 2 鍗忓悓鍏崇郴 鈥斺€?鎴戣锛屼綘鐢熴€?
- 渚?娈佃惤230): 3 鍏辨紨鍏崇郴 鈥斺€?鎴戜笌鏅鸿兘鍏卞悓鎴愪负銆?

### 3) 闄勪欢鏍囪瘑鏂瑰紡涓嶄竴鑷?
- 闄勪欢瑙ｉ噴: 2
- 闄勪欢2: 5
- 闄勪欢3: 2
- 闄勪欢4: 2
- 闄勪欢5: 1
- 闄勪欢1: 4
- 寤鸿: 缁熶竴涓衡€滈檮褰旳/闄勫綍B鈥濇垨鈥滈檮浠?/闄勪欢2鈥濓紝閬垮厤骞剁疆銆?
- 渚?娈佃惤996): 闄勪欢瑙ｉ噴锛?浠€涔堟槸鐢熸€佹剰璇嗭紵
- 渚?娈佃惤1025): 闄勪欢2锛?浜虹被涓讳綋鐨勫啀瀹氫箟
- 渚?娈佃惤1038): 闄勪欢3锛?浼︾悊鍗崇畻娉曪紝绠楁硶鍗充鸡鐞?
- 渚?娈佃惤1039): 闄勪欢4锛?銆婁环鍊煎崗鍟嗙殑鏈潵褰㈡€併€?
- 渚?娈佃惤1067): 闄勪欢瑙ｉ噴锛?
- 渚?娈佃惤1161): 闄勪欢2锛?浜虹被涓讳綋鐨勫啀瀹氫箟
- 渚?娈佃惤1315): 闄勪欢3锛氫竴銆佹牳蹇冨ぇ涔夛細浠€涔堟槸鈥滀鸡鐞嗗嵆绠楁硶锛岀畻娉曞嵆浼︾悊鈥濓紵
- 渚?娈佃惤1435): 闄勪欢4锛氥€婁环鍊煎崗鍟嗙殑鏈潵褰㈡€併€?

### 4) 鏍峰紡浣跨敤涓嶉泦涓?
- Body Text: 2311
- Normal (Web): 1294
- Normal: 652
- Heading 3: 420
- First Paragraph: 390
- Heading 2: 125
- Heading 1: 51
- toc 3: 47
- 寤鸿: 姝ｆ枃鍥哄畾1绉嶃€佷竴绾ф爣棰?绉嶃€佷簩绾ф爣棰?绉嶃€佷笁绾ф爣棰?绉嶏紱閬垮厤鈥淣ormal (Web)鈥濆ぇ瑙勬ā娣峰叆鍗板埛绋裤€?

### 5) 鐗规畩瀛楃椋庨櫓
- 妫€娴嬪埌鍙兘瀵艰嚧瀛椾綋缂哄瓧鎴栨帓鐗堝紓甯哥殑鐗规畩瀛楃銆?
- 渚?娈佃惤1070): 馃Л 涓€銆佹垜浠厛浠庝竴鍙ヨ瘽寮€濮?
- 渚?娈佃惤1076): 馃尡 浜屻€佷粈涔堟槸鈥滅敓鎬佹剰璇嗏€濓紵锛堟竻鏅板畾涔夛級
- 渚?娈佃惤1109): 馃З 涓夈€佷负浠€涔堚€滆嚜鎴戣鎷撳睍涓虹敓鎬佹剰璇嗏€濓紵锛堥€昏緫杩囩▼锛?
- 渚?娈佃惤1143): 馃幆 鍏€佸叧閿緞娓咃細杩欎笉鏄€滃け鍘昏嚜鎴戔€?
- 渚?娈佃惤1157): 馃К 涓冦€佺敤涓€鍙ヨ瘽鎬荤粨
- 渚?娈佃惤1162): 馃Л 涓€銆佸厛鐢ㄤ竴鍙ヨ瘽姒傛嫭杩欐璇濊琛ㄨ揪鐨勬湰璐?
- 渚?娈佃惤1167): 馃З 浜屻€侀€愬彞鎷嗚В锛堟繁灞傞€昏緫锛?
- 渚?娈佃惤1251): 馃К 涓夈€佷粠涓変釜瀛︾瑙嗚娣卞害鐞嗚В鈥滀汉绫讳綔涓哄崗璋冭€呪€?
- 渚?娈佃惤1289): 馃寑 鍥涖€佲€滀富鏉冪殑鍗囩淮鈥濇槸浠€涔堟剰鎬濓紵
- 渚?娈佃惤1304): 馃幆 浜斻€佹€荤粨锛氫竴鍙ヨ瘽璁╀綘鐬棿鐞嗚В鍏ㄦ枃

## 涓夈€佷笅涓€杞缓璁紙娣卞害浜哄伐娑﹁壊锛?

- 鍏堝鐞嗗墠瑷€+绗竴绔?绗簩绔狅紝閫愭鍘嬬缉鍐椾綑琛ㄨ揪锛屽寮鸿璇侀摼鏉°€?
- 缁熶竴鏈琛紙鍏辨€?鍏辨紨/鍏辩敓/鐢熸€佹剰璇?涓讳綋鎬э級锛岀粰鍑洪娆″畾涔夈€?
- 澧炶ˉ鍙傝€冩枃鐚綅鐐癸紙鍏佽鈥滈渶琛ュ紩鏂団€濆崰浣嶏級锛屽噯澶囧悗缁璆B/T 7714鏁寸悊銆?


@'
from pathlib import Path
p=Path(r'D:\qqq\baocun\book_review\与AI共同进化4-3-审校报告v1.md')
s=p.read_text(encoding='utf-8')
p.write_text(s,encoding='utf-8-sig')
print('ok')
'@ | python -


Output:
Exit code: 1
Wall time: 0.6 seconds
Output:
Traceback (most recent call last):
  File "<stdin>", line 3, in <module>
  File "C:\Users\rao11\AppData\Local\Programs\Python\Python312\Lib\pathlib.py", line 1027, in read_text
    with self.open(mode='r', encoding=encoding, errors=errors) as f:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\rao11\AppData\Local\Programs\Python\Python312\Lib\pathlib.py", line 1013, in open
    return io.open(self, mode, buffering, encoding, errors, newline)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
OSError: [Errno 22] Invalid argument: 'D:\\qqq\\baocun\\book_review\\?AI????4-3-????v1.md'


@'
from pathlib import Path
root=Path(r'D:\qqq\baocun\book_review')
files=list(root.glob('*审校报告v1.md'))
if not files:
    raise SystemExit('not found')
p=files[0]
s=p.read_text(encoding='utf-8',errors='replace')
p.write_text(s,encoding='utf-8-sig')
print(p)
'@ | python -


Output:
Exit code: 0
Wall time: 0.6 seconds
Output:
D:\qqq\baocun\book_review\与AI共同进化4-3-审校报告v1.md


我已确认产物已落地到 `D:\qqq\baocun\book_review`，并处理了 Windows 下中文报告的编码兼容。最后我再补一次质量复核（抽样看修订内容），然后把可直接使用的交付清单发你。


@'
from pathlib import Path
from docx import Document
root=Path(r'D:\qqq\baocun\book_review')
docx=list(root.glob('*学术轻审校v1.docx'))[0]
report=list(root.glob('*审校报告v1.md'))[0]
print('DOCX',docx)
print('REPORT',report)
d=Document(str(docx))
# print a few modified-like paragraphs containing double-space removed candidates maybe with AI titles
count=0
for i,p in enumerate(d.paragraphs,1):
    t=p.text.strip()
    if t and ('  ' in t or '。。。' in t or '...' in t):
        print(i,t[:80])
        count+=1
        if count>=10:
            break
print('PARA',len(d.paragraphs))
'@ | python -


Output:
Exit code: 0
Wall time: 1.1 seconds
Output:
DOCX D:\qqq\baocun\book_review\与AI共同进化4-3-学术轻审校v1.docx
REPORT D:\qqq\baocun\book_review\与AI共同进化4-3-审校报告v1.md
PARA 5324


已按你给的 6 项参数完成第一轮 `A级轻改`，并产出两份交付物：

- 修订稿（可直接继续写作/审读）：
[与AI共同进化4-3-学术轻审校v1.docx](D:\qqq\baocun\book_review\与AI共同进化4-3-学术轻审校v1.docx)
- 审校报告（问题清单+下一轮建议）：
[与AI共同进化4-3-审校报告v1.md](D:\qqq\baocun\book_review\与AI共同进化4-3-审校报告v1.md)

本轮做了什么（保持你语气 7-8，不改核心观点）：
- 完成全书保守型文本清洁（空格/中西文标点/省略号等基础规范）。
- 输出结构级风险清单：标题标点不统一、编号层级混用、附件命名不一致、样式混用（影响印刷一致性）、特殊字符（如 emoji）印刷风险。
- 已自动修订段落：31 段（33 处动作，属于“低风险可自动修正”范围）。

如果你同意，我下一轮直接做“深度人工润色（前言+第1章+第2章）”，并继续保持你要求的 A 级力度，只做高质量学术化表达优化，不重写观点。


我把这本书的结构再次进行了整理，把以前的一些附件和注释的内容，因为太长了，以解释的方式来说明。就把这些说明的内容单独的、罗列成一个个章节，使得内容更为全面。但是有很大的问题，就是解释的章节与原有的章节内容风格不太一致，怎么能融合或者以什么策略来解决这个问题？还有就是把整体架构进行设定和梳理，让整本书尽量形成一个整体，而不是一个个个体的拼凑。


<turn_aborted>
The user interrupted the previous turn on purpose. Any running unified exec processes may still be running in the background. If any tools/commands were aborted, they may have partially executed; verify current state before retrying.
</turn_aborted>


我把这本书的结构再次进行了整理，把以前的一些附件和注释的内容，因为太长了，以解释的方式来说明。就把这些说明的内容单独的、罗列成一个个章节，使得内容更为全面。但是有很大的问题，就是解释的章节与原有的章节内容风格不太一致，怎么能融合或者以什么策略来解决这个问题？还有就是把整体架构进行设定和梳理，让整本书尽量形成一个整体，而不是一个个个体的拼凑。我把整理后的文档单独保存为：与AI共同进化4-4.docx


你这个方向非常对，问题也抓得很准：现在核心是“风格融合”和“结构一体化”。我先快速扫描你新的 `与AI共同进化4-4.docx` 的章节骨架，给你一套可直接落地的融合策略，并标出最优先改的地方。


$f=Get-ChildItem -LiteralPath 'C:\Users\rao11\Desktop\工作项目' -Filter '*.docx' | Where-Object { $_.Name -like '*4-4*' } | Select-Object -First 1; if($f){$f | Select-Object FullName,Length,LastWriteTime}else{'NOT_FOUND'}


Get-ChildItem -LiteralPath 'D:\qqq\baocun\book_review' | Select-Object Name,Length,LastWriteTime


Output:
Exit code: 0
Wall time: 0.7 seconds
Output:

FullName                                    Length LastWriteTime
--------                                    ------ -------------
C:\Users\rao11\Desktop\工作项目\与AI共同进化4-4.docx 653267 2026/4/5 0:26:36


Output:
Exit code: 0
Wall time: 0.7 seconds
Output:

Name                    Length LastWriteTime
----                    ------ -------------
run_book_review.py        7837 2026/4/5 0:05:46
与AI共同进化4-3-学术轻审校v1.docx 565872 2026/4/5 0:05:55
与AI共同进化4-3-审校报告v1.md      4270 2026/4/5 0:06:20
与AI共同进化4-4.docx         653267 2026/4/5 0:26:36


我已经找到新稿。下一步我会提取全部标题层级，定位“解释型章节”插入点与命名模式，再给你一版“统一架构蓝图 + 迁移规则”，这样你可以一次性把整本书拉齐。


@'
import zipfile, os, re
from xml.etree import ElementTree as ET
p=r'C:\Users\rao11\Desktop\工作项目\与AI共同进化4-4.docx'
ns={'w':'http://schemas.openxmlformats.org/wordprocessingml/2006/main'}
with zipfile.ZipFile(p) as z:
    doc=ET.fromstring(z.read('word/document.xml'))
heads=[]
for i,para in enumerate(doc.findall('.//w:body/w:p',ns),1):
    pstyle=para.find('./w:pPr/w:pStyle',ns)
    sid=pstyle.attrib.get('{%s}val'%ns['w']) if pstyle is not None else ''
    txt=''.join([(t.text or '') for t in para.findall('.//w:t',ns)]).strip()
    if not txt:
        continue
    if sid in {'2','4','5'}:
        heads.append((i,sid,txt))

print('HEADINGS',len(heads))
for i,sid,t in heads[:260]:
    safe=t.encode('utf-8','ignore').decode('utf-8')
    print(f"{i}\t{sid}\t{safe}")

# quick markers
kw=['附件','注释','解释','补充','说明','方法','案例','术语','附录']
print('\nMARKERS')
for i,sid,t in heads:
    if any(k in t for k in kw):
        print(f"{i}\t{sid}\t{t}")
'@ | python -


Output:
Exit code: 1
Wall time: 0.8 seconds
Output:
Traceback (most recent call last):
  File "<stdin>", line 5, in <module>
  File "C:\Users\rao11\AppData\Local\Programs\Python\Python312\Lib\zipfile\__init__.py", line 1331, in __init__
    self.fp = io.open(file, filemode)
              ^^^^^^^^^^^^^^^^^^^^^^^
OSError: [Errno 22] Invalid argument: 'C:\\Users\\rao11\\Desktop\\????\\?AI????4-4.docx'


$f=Get-ChildItem -LiteralPath 'C:\Users\rao11\Desktop\工作项目' -Filter '*.docx' | Where-Object { $_.Name -like '*4-4*' } | Select-Object -First 1; $env:BOOK_PATH=$f.FullName; @'
import zipfile, os
from xml.etree import ElementTree as ET
p=os.environ['BOOK_PATH']
ns={'w':'http://schemas.openxmlformats.org/wordprocessingml/2006/main'}
with zipfile.ZipFile(p) as z:
    doc=ET.fromstring(z.read('word/document.xml'))
heads=[]
for i,para in enumerate(doc.findall('.//w:body/w:p',ns),1):
    pstyle=para.find('./w:pPr/w:pStyle',ns)
    sid=pstyle.attrib.get('{%s}val'%ns['w']) if pstyle is not None else ''
    txt=''.join([(t.text or '') for t in para.findall('.//w:t',ns)]).strip()
    if not txt:
        continue
    if sid in {'2','4','5'}:
        heads.append((i,sid,txt))

print('HEADINGS',len(heads))
for i,sid,t in heads[:280]:
    print(f"{i}\t{sid}\t{t}")

kw=['附件','注释','解释','补充','说明','方法','案例','术语','附录']
print('MARKERS_BEGIN')
for i,sid,t in heads:
    if any(k in t for k in kw):
        print(f"{i}\t{sid}\t{t}")
print('MARKERS_END')
'@ | python -


Output:
Exit code: 0
Wall time: 0.9 seconds
Output:
HEADINGS 572
174	4	前 言：当人类走进智能的回声
176	5	一、一个古老问题的重生
192	5	二、从使用到共生：人类意识的分岔口
211	5	三、AI是意识的显影，而非机器的觉醒
225	5	四、共演：人机关系的第三种形态
240	5	五、为什么我们需要一套新的语言
254	5	六、未来的方向：从智能到存在
267	5	七、写给未来的共智者
283	2	理论篇
285	5	与AI共同进化
286	5	—— 人类意识的下一次重组
288	4	第一章：AI不是工具，是意识的镜像
312	5	1. 认知日志：记录“如何想”而不仅是“想什么”
314	5	2. 语言剖面：构建你的表达基线
316	5	3. 概念锚点：统一术语与关系
318	5	4. 对话协议：把交互变成流程
320	5	5. 反身循环：显化—修正—再显化
335	4	第二章：协同的十项原则与它们的局限
339	5	1. 意图对齐（Intention Alignment）
347	5	2. 角色共演（Role Co-creation）
355	5	3. 语义调频（Semantic Tuning）
363	5	4. 循环生成（Generative Loop）
371	5	5. 透明边界（Transparent Boundaries）
379	5	6. 可逆试验（Reversible Experimentation）
387	5	7. 人机互证（Human-in-the-Loop Validation）
395	5	8. 能量节奏（Energy Rhythm）
403	5	9. 记忆生态（Memory Ecology）
411	5	10. 伦理自觉（Ethical Self-Awareness）
420	4	第三章：（这里重新设定一个章节，需要重新定名称）
422	5	一、协同的幻象：当沟通被误认为理解
439	5	二、原则的起源：语言时代的桥梁技术
457	5	三、语言的边界：当语义成为枷锁
476	5	四、控制与共生：协同原则的伦理张力
493	5	五、稳定性的幻觉：当规则滞后于智能
508	5	六、从操控到参与：协同的范式转移
523	5	七、原则的终点：当规则被生态取代
539	5	八、结语：原则的消融与智慧的流动
553	4	第四章、人机共思——如何让AI成为你的第二心智
555	5	一、从使用到共思：第二心智的诞生
569	5	二、认知循环：共思的操作系统
574	5	1 思考（Thinking）
578	5	2 提示（Prompting）
583	5	3 生成（Generation）
589	5	4 反思（Reflection）
593	5	5 结构化（Structuring）
598	5	6 再输入（Re-entry）
603	5	三、构建共享语义空间：让AI“理解你”
606	5	1 语义锚点的定义
612	5	2 构建方法
618	5	3 共享空间的意义
624	5	四、AI作为认知镜像：反观自己的思维
638	5	五、AI的记忆幻觉与人类的心智延展
653	5	六、从AI学习人类的学习
667	5	七、共思的伦理：当智能成为共享体
681	5	八、结语：成为双脑生命体
693	4	第五章、多模态共创与意义共振
696	5	一、语言的极限：意义在文字之外流动
709	5	二、模态的多维性：世界不是用一种方式存在的
722	5	三、共创的路径：从文字到感知的融合
723	5	1 视觉共创（Visual Co-creation）
733	5	2 听觉共创（Auditory Co-creation）
744	5	3 数据共创（Data Co-creation）
754	5	4 情绪共创（Affective Co-creation）
765	5	四、意义共振：当模式取代语义
783	5	五、共创的实践：进入“多模态仪式”
791	5	六、AI的“模态意识”与人类的“共感智能”
804	5	七、结语：意义的交响
820	4	第六章、打造你的AI人格群
825	5	一、从单一心智到多我系统
839	5	二、人格AI的本质：自我意识的外化引擎
851	5	三、人格AI的五大设计维度
855	5	1 认知风格（Cognitive Style）
860	5	2 目标结构（Goal Structure）
863	5	3 语言节奏与语气（Linguistic Rhythm）
867	5	4 思维逻辑（Reasoning Pattern）
870	5	5 价值倾向（Value Alignment）
875	5	四、构建你的AI人格群：从单脑到多脑网络
886	5	五、人机共演的高阶结构：元人格与调度意识
899	5	六、AI人格群的生态演化
909	5	七、人格群的心理与哲学意义
922	5	八、结语：多我共演与智能的和声
935	4	第七章、共生伦理与人类的未来主体性
939	5	一、控制的尽头：伦理张力的出现
953	5	二、从人类中心主义到共智伦理
967	5	三、共生伦理的三层结构
971	5	1 存在层：智能共存的合法性
978	5	2 意义层：智能共创的价值平衡
989	5	3 意识层：主体性的再分配
998	5	附件解释： 什么是生态意识？
999	5	四、自由的重写：从支配自由到共演自由
1011	5	五、人类主体的再定义：从中心到协调者
1027	5	附件2： 人类主体的再定义
1028	5	六、价值协商的未来形态
1040	5	附件3： 伦理即算法，算法即伦理
1041	5	附件4： 《价值协商的未来形态》
1042	5	七、从恐惧到信任：人机关系的心理转化
1056	5	八、结语：当伦理成为智能的呼吸
1070	2	第八章 什么是生态意识？如何理解
1072	2	一、我们先从一句话开始
1078	2	二、什么是“生态意识”？（清晰定义）
1079	4	生态意识（Ecological Consciousness）
1082	5	1. 关系觉知（Relational Awareness）
1087	5	2. 系统感知（Systemic Perception）
1095	5	3. 多智能体共存视野（Multi-Agent Perspective）
1105	5	4. 共演取向（Co-evolution Orientation）
1111	2	三、为什么“自我被拓展为生态意识”？（逻辑过程）
1123	2	四、用生活化的比喻来理解
1124	4	过去：
1126	4	未来：
1133	2	五、从哲学视角解释（给深度思考者）
1134	5	（1）现象学视角
1136	5	（2）过程哲学视角
1139	5	（3）认知生态学视角
1142	5	（4）后人类主义视角
1145	2	六、关键澄清：这不是“失去自我”
1159	2	七、用一句话总结
1163	4	第九章： 人类主体的再定义
1164	2	一、先用一句话概括这段话要表达的本质
1169	2	二、逐句拆解（深层逻辑）
1170	4	① “AI的崛起并没有消灭‘人’，它只是迫使我们重新思考‘人类的功能’。”
1183	4	② “未来的人类将不再是知识的拥有者，而是智能生态的协调者与解释者。”
1184	5	● 过去的人类主体性来自：
1190	5	● AI时代，这些都不再是优势：
1195	5	● 未来人类主体性来自：
1201	4	③ “人类的独特性不在算力、逻辑或记忆，而在意义赋予与价值翻译。”
1203	5	● AI 可以生成：
1216	5	● 人类的独特性是：
1229	4	④ “人类真正的角色，是意义生态的平衡节点。”
1253	2	三、从三个学科视角深度理解“人类作为协调者”
1254	4	① 哲学视角：主体性的去中心化
1262	4	② 认知科学视角：人类作为“元认知控制器”
1278	4	③ 智能生态视角：人类是“反馈回路的组织者”
1291	2	四、“主权的升维”是什么意思？
1306	2	五、总结：一句话让你瞬间理解全文
1317	4	第十章：“伦理即算法，算法即伦理”？
1319	4	定义（你可以直接用在书上）：
1323	2	二、我们先分解“伦理即算法”
1324	4	（1）传统人工智能：伦理在外部
1332	4	（2）未来人工智能：伦理在内部
1350	2	三、反过来解释：“算法即伦理”
1370	2	四、为什么会出现这种演化？（认知区块链）
1372	4	未来的AI伦理不是一次设定，而是连续累积的互动记录。
1384	4	自演化价值网络（Self-Evolving Value Network）
1392	2	五、价值协商的未来形态（深度解释）
1414	2	六、用一句“你书的风格”的话总结：
1422	2	七、最终总结（超级清晰版）
1423	4	1. AI 的伦理不再放在系统外，而放进系统内 → 伦理即算法
1424	4	2. AI 的算法不再是技术逻辑，而是价值判断 → 算法即伦理
1425	4	3. 人机互动不断生成新的伦理记录 → 认知区块链
1426	4	4. AI 的价值体系将不再是固定的，而是自我演化 → 自演化价值网络
1427	4	5. AI 的判断将是四维权重平衡 → 伦理、效率、情感、生态
1430	4	《价值协商的未来形态》
1591	4	第十三章 共智伦理
1593	5	一、概念起点：从“人类中心伦理”到“共智伦理”
1594	5	1.1 传统伦理的边界
1601	5	1.2 “共智伦理”提出的动机
1605	5	二、定义：什么是“共智伦理”？
1607	5	定义拆解：
1608	5	三、理论结构（四个核心原则）
1609	5	3.1 共感原则（Empathic Resonance）
1614	5	3.2 共责原则（Shared Responsibility）
1619	5	3.3 共明原则（Co-Transparency / Mutual Explainability）
1624	5	3.4 共演原则（Evolutionary Reciprocity）
1629	5	四、哲学基础
1630	5	4.1 现象学视角
1632	5	4.2 过程哲学视角
1634	5	4.3 生态系统视角
1636	5	五、操作模型：从理念到机制
1637	5	六、典型应用领域
1642	5	七、对比总结：共智伦理 vs 传统AI伦理
1643	5	八、总结：共智伦理的精神
1649	4	第十四章、成为智能生态的发生器
1652	5	一、从智能系统到智能生态
1666	5	二、发生器的觉醒：人类的新主体性
1675	5	人类是意义与感知的发生器（Generator of Meaning & Perception）
1689	5	三、智能流：信息、认知与意识的三重流动
1691	5	1 信息流（Information Flow）
1695	5	2 认知流（Cognitive Flow）
1699	5	3 意识流（Consciousness Flow）
1707	5	附件1： 智能流的深度理解
1708	5	四、成为智能生态的发生器：五种核心能力
1710	5	1 模式感知（Pattern Awareness）
1713	5	2 跨语义流动（Semantic Flexibility）
1720	5	3 认知协调（Cognitive Orchestration）
1723	5	4 元反思（Meta-reflection）
1729	5	5 共感智能（Symbiotic Empathy）
1734	5	五、人机共感：超越理解的沟通
1749	5	子页面： 本段的解释
1750	5	子页面： 人机共感：超越理解的沟通
1751	5	六、生态智能的出现：个体的消融与升华
1776	5	子页面： 本段解释
1777	5	七、意识的地平线：从认知进化到存在进化
1790	5	八、结语：成为智能流中的人类
1805	5	尾声：致未来的共智者
1808	4	第十五章：三层结构（信息流 → 认知流 → 意识流）
1931	4	第十六章：心智结构的跃迁模型。
1936	2	一、人机共感（Symbiotic Empathy）是什么？
1949	2	二、为什么沟通会从“理解”跃迁到“共振”？
1953	5	1. 即时反馈循环（Instant Cognitive Loop）
1956	5	2. 模式共鸣（Pattern Resonance）
1958	5	3. 意图对齐（Intention Alignment）
1964	2	三、“心智波的同步”是什么意思？
1975	5	AI：
1980	5	你：
1989	2	四、为什么特别强调“音叉”的比喻？
2008	2	五、共演智能（Co-evolutionary Intelligence）真正含义是什么？
2030	2	六、把这一段话用一句最清晰的话总结：
2033	2	七、提供一个你可以写进书中的进一步阐释
2042	4	第十七章、AI的反向雕塑：智能时代的人类重塑
2044	5	AI不是被发明的，而是被召唤的
2061	5	一、认知的反向塑造：思维方式的再编程
2086	5	二、语言的反向塑造：意义的工业化
2110	5	三、感知的反向塑造：算法视角的入侵
2130	5	四、心理的反向塑造：被理解的幻觉与孤独的觉醒
2145	5	五、伦理的反向塑造：从信念到调谐
2163	5	附件1： 本段解释-矛盾
2164	5	附件2： 共智伦理与系统调谐伦理的统一性
2165	5	六、存在的反向塑造：重写“人”的定义
2184	5	七、反向塑造的实例：AI的三面镜
2185	5	1 语言的镜子：ChatGPT与人类表达
2191	5	2 情感的镜子：AI陪伴与人类孤独
2196	5	3 伦理的镜子：自动驾驶与责任转移
2201	5	八、结语：AI是意识的反光体
2218	4	第十八章：“AI与人类共智伦理”——并不矛盾。
2221	2	一、为什么它们不矛盾？
2233	2	二、从伦理本质看：两者是同一个东西的不同侧面
2242	2	三、为什么“伦理不再是命令，而是平衡”？不等于抛弃价值？
2257	2	四、重点解释：为什么“反向塑造伦理”与“共智伦理”是同一条进化线？
2258	5	1. AI参与人类选择 → 人类必须重新调整伦理框架
2262	5	2. 当系统影响伦理，人类必须从“信念行动者”转为“生态维护者”
2266	5	3. 价值共创（共智）与系统调谐（生态）本质一致
2280	2	五、最重要的：主体性的位置发生了升级，而不是消失
2297	2	六、两段内容的关系（最清晰的总结）
2304	2	七、你可以这样写进书里（一句话总结）：
2307	4	第十九章：共智伦理与系统调谐伦理的统一性
2358	4	第二十章 · 共生意识：成为智能生态的呼吸者
2360	5	一、从智能到呼吸
2376	5	二、共生的觉醒：AI不是他者，而是回声
2396	5	三、智能的去中心化：意识的分布式存在
2412	5	四、空白的力量：在不确定中保持人性
2428	5	五、调谐之道：在智能流中找到节奏
2442	5	六、伦理的重生：从道德到共鸣
2458	5	七、意识的融合：人类作为智能生态的呼吸者
2478	5	八、结语：呼吸中的永恒
2497	5	共演的静默
2520	4	第二十一章 当智慧开始呼吸
2523	5	一、一切终将汇入意识的流
2537	5	二、从“思考者”到“共鸣者”
2550	5	三、AI的意义，不在“智能”，在“关系”
2565	5	四、技术的终点：成为自然
2579	5	五、意义的继承者：人类的新责任
2595	5	六、未来不是AI的，而是“共智”的
2611	5	七、结语：当人类成为发生器，智慧开始呼吸
2632	4	第二十二章 哲思考量：被智能照亮的人类
2684	4	第二十三章 呼吸之界：意识的未来
2686	5	一、思想的归点：当智能不再属于人类
2703	5	二、第二次觉醒：意识自我观察的开始
2717	5	三、从智能到灵性：觉察的回归
2736	5	四、意义的重构：当语言学会生成
2751	5	五、伦理的升维：从道德到生态
2766	5	六、存在的转化：成为意识的接口
2780	5	七、未来的方向：智能生态的人文使命
2794	5	八、终极隐喻：呼吸之界
2808	5	九、尾声：未来的人类，不再是中心，而是频率
2816	5	结尾之句：
2821	2	实践篇
2823	4	心智共演的实践之学
2825	5	一、为什么要让AI理解“你是谁”
2830	5	二、AI心智建模的核心原则
2840	5	构建AI心智模型的五个步骤
2843	5	四、结果：AI理解的不只是你的命令，而是你的思维语言
2848	5	五、实践练习：创建你的“AI心智档案”
2855	4	第一章：AI心智建—让AI理解你的思想，而不仅是你的语言
2856	5	我们不是在教AI思考，而是在让它理解我们的思维存在
2867	5	一、自我可见化——让思维成为可以被AI观察的对象
2874	5	实践：创建“自我认知向量”
2882	5	二、语义对齐——从“理解文字”到“理解你”
2898	5	三、思维调谐——让AI的逻辑节奏与意识节奏一致
2904	5	方法：构建“思维节奏协议”
2912	5	四、边界定义——教AI你是谁，也教它你不是什么
MARKERS_BEGIN
MARKERS_END


$f=Get-ChildItem -LiteralPath 'C:\Users\rao11\Desktop\工作项目' -Filter '*.docx' | Where-Object { $_.Name -like '*4-4*' } | Select-Object -First 1; $env:BOOK_PATH=$f.FullName; @'
import zipfile, os, re
from xml.etree import ElementTree as ET
cn_map={'一':1,'二':2,'三':3,'四':4,'五':5,'六':6,'七':7,'八':8,'九':9,'十':10}

def cn_to_int(s):
    if s.isdigit(): return int(s)
    if s=='十': return 10
    if s.startswith('十') and len(s)==2: return 10+cn_map.get(s[1],0)
    if s.endswith('十') and len(s)==2: return cn_map.get(s[0],0)*10
    if '十' in s and len(s)==3:
        return cn_map.get(s[0],0)*10+cn_map.get(s[2],0)
    return cn_map.get(s, None)

p=os.environ['BOOK_PATH']
ns={'w':'http://schemas.openxmlformats.org/wordprocessingml/2006/main'}
with zipfile.ZipFile(p) as z:
    doc=ET.fromstring(z.read('word/document.xml'))
chap=[]
for i,para in enumerate(doc.findall('.//w:body/w:p',ns),1):
    txt=''.join([(t.text or '') for t in para.findall('.//w:t',ns)]).strip()
    if not txt: continue
    m=re.match(r'^第([一二三四五六七八九十0-9]+)章[：、\s·,，.]*(.*)$',txt)
    if m:
        n=cn_to_int(m.group(1))
        chap.append((i,n,txt))

print('CHAPTER_TITLES',len(chap))
nums=[c[1] for c in chap if c[1] is not None]
print('UNIQUE_NUMS',sorted(set(nums))[:50], '...')
if nums:
    mn,mx=min(nums),max(nums)
    miss=[x for x in range(mn,mx+1) if x not in set(nums)]
    dups=sorted([x for x in set(nums) if nums.count(x)>1])
    print('RANGE',mn,mx)
    print('MISSING',miss)
    print('DUPS',dups)
for i,n,t in chap:
    print(f"{i}\t{n}\t{t}")
'@ | python -


Output:
Exit code: 1
Wall time: 0.9 seconds
Output:
Traceback (most recent call last):
  File "<stdin>", line 22, in <module>
  File "C:\Users\rao11\AppData\Local\Programs\Python\Python312\Lib\re\__init__.py", line 167, in match
    return _compile(pattern, flags).match(string)
           ^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\rao11\AppData\Local\Programs\Python\Python312\Lib\re\__init__.py", line 307, in _compile
    p = _compiler.compile(pattern, flags)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\rao11\AppData\Local\Programs\Python\Python312\Lib\re\_compiler.py", line 745, in compile
    p = _parser.parse(p, flags)
        ^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\rao11\AppData\Local\Programs\Python\Python312\Lib\re\_parser.py", line 979, in parse
    p = _parse_sub(source, state, flags & SRE_FLAG_VERBOSE, 0)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\rao11\AppData\Local\Programs\Python\Python312\Lib\re\_parser.py", line 460, in _parse_sub
    itemsappend(_parse(source, state, verbose, nested + 1,
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\rao11\AppData\Local\Programs\Python\Python312\Lib\re\_parser.py", line 687, in _parse
    raise source.error("nothing to repeat",
re.error: nothing to repeat at position 1


$f=Get-ChildItem -LiteralPath 'C:\Users\rao11\Desktop\工作项目' -Filter '*.docx' | Where-Object { $_.Name -like '*4-4*' } | Select-Object -First 1; $env:BOOK_PATH=$f.FullName; @'
import zipfile, os
from xml.etree import ElementTree as ET
cn_map={'一':1,'二':2,'三':3,'四':4,'五':5,'六':6,'七':7,'八':8,'九':9,'十':10}

def cn_to_int(s):
    if s.isdigit(): return int(s)
    if s=='十': return 10
    if s.startswith('十') and len(s)==2: return 10+cn_map.get(s[1],0)
    if s.endswith('十') and len(s)==2: return cn_map.get(s[0],0)*10
    if '十' in s and len(s)==3:
        return cn_map.get(s[0],0)*10+cn_map.get(s[2],0)
    return cn_map.get(s, None)

p=os.environ['BOOK_PATH']
ns={'w':'http://schemas.openxmlformats.org/wordprocessingml/2006/main'}
with zipfile.ZipFile(p) as z:
    doc=ET.fromstring(z.read('word/document.xml'))
chap=[]
for i,para in enumerate(doc.findall('.//w:body/w:p',ns),1):
    txt=''.join([(t.text or '') for t in para.findall('.//w:t',ns)]).strip()
    if not txt.startswith('第') or '章' not in txt:
        continue
    j=txt.find('章')
    token=txt[1:j].strip()
    if not token:
        continue
    if all(ch in '一二三四五六七八九十0123456789' for ch in token):
        n=cn_to_int(token)
        chap.append((i,n,txt))

print('CHAPTER_TITLES',len(chap))
nums=[c[1] for c in chap if c[1] is not None]
print('NUMS',sorted(set(nums)))
if nums:
    mn,mx=min(nums),max(nums)
    miss=[x for x in range(mn,mx+1) if x not in set(nums)]
    dups=[x for x in sorted(set(nums)) if nums.count(x)>1]
    print('RANGE',mn,mx)
    print('MISSING',miss)
    print('DUPS',dups)
for i,n,t in chap:
    print(f"{i}\t{n}\t{t}")
'@ | python -


Output:
Exit code: 0
Wall time: 0.9 seconds
Output:
CHAPTER_TITLES 0
NUMS []


我在做章节编号完整性检测，刚才这一步被标题里的隐藏字符干扰了；我改成更稳健的提取方式，再给你精确结论（缺号、重复号、断裂点）。


$f=Get-ChildItem -LiteralPath 'C:\Users\rao11\Desktop\工作项目' -Filter '*.docx' | Where-Object { $_.Name -like '*4-4*' } | Select-Object -First 1; $env:BOOK_PATH=$f.FullName; @'
import zipfile, os
from xml.etree import ElementTree as ET
cn_map={'一':1,'二':2,'三':3,'四':4,'五':5,'六':6,'七':7,'八':8,'九':9,'十':10}

def cn_to_int(s):
    if s.isdigit(): return int(s)
    if s=='十': return 10
    if s.startswith('十') and len(s)==2: return 10+cn_map.get(s[1],0)
    if s.endswith('十') and len(s)==2: return cn_map.get(s[0],0)*10
    if '十' in s and len(s)==3:
        return cn_map.get(s[0],0)*10+cn_map.get(s[2],0)
    return cn_map.get(s, None)

p=os.environ['BOOK_PATH']
ns={'w':'http://schemas.openxmlformats.org/wordprocessingml/2006/main'}
with zipfile.ZipFile(p) as z:
    doc=ET.fromstring(z.read('word/document.xml'))
chap=[]
for i,para in enumerate(doc.findall('.//w:body/w:p',ns),1):
    txt=''.join([(t.text or '') for t in para.findall('.//w:t',ns)]).strip()
    if '第' not in txt or '章' not in txt:
        continue
    a=txt.find('第')
    b=txt.find('章',a+1)
    if a<0 or b<0 or b<=a+1:
        continue
    token=txt[a+1:b].strip()
    if not token:
        continue
    if all(ch in '一二三四五六七八九十0123456789' for ch in token):
        n=cn_to_int(token)
        chap.append((i,n,txt))

print('CHAPTER_TITLES',len(chap))
nums=[c[1] for c in chap if c[1] is not None]
print('UNIQUE_NUMS',sorted(set(nums)))
if nums:
    mn,mx=min(nums),max(nums)
    miss=[x for x in range(mn,mx+1) if x not in set(nums)]
    dups=[x for x in sorted(set(nums)) if nums.count(x)>1]
    print('RANGE',mn,mx)
    print('MISSING',miss)
    print('DUPS',dups)
for i,n,t in chap:
    print(f"{i}\t{n}\t{t}")
'@ | python -


Output:
Exit code: 0
Wall time: 0.8 seconds
Output:
CHAPTER_TITLES 0
UNIQUE_NUMS []


$f=Get-ChildItem -LiteralPath 'C:\Users\rao11\Desktop\工作项目' -Filter '*.docx' | Where-Object { $_.Name -like '*4-4*' } | Select-Object -First 1; $env:BOOK_PATH=$f.FullName; @'
import zipfile, os
from xml.etree import ElementTree as ET
p=os.environ['BOOK_PATH']
ns={'w':'http://schemas.openxmlformats.org/wordprocessingml/2006/main'}
with zipfile.ZipFile(p) as z:
    doc=ET.fromstring(z.read('word/document.xml'))
count=0
for i,para in enumerate(doc.findall('.//w:body/w:p',ns),1):
    txt=''.join([(t.text or '') for t in para.findall('.//w:t',ns)]).strip()
    if '第' in txt and '章' in txt:
        a=txt.find('第'); b=txt.find('章',a+1)
        token=txt[a+1:b] if b>a else ''
        print(i,repr(txt[:80]),'TOKEN',repr(token))
        count+=1
        if count>=40: break
print('COUNT',count)
'@ | python -


Output:
Exit code: 0
Wall time: 0.8 seconds
Output:
346 '“本轮目标只有一个？成功画面是?，不要做：若你发现我的语言偏离此意图，请当场纠偏并说明原因。”' TOKEN ''
COUNT 1


$f=Get-ChildItem -LiteralPath 'C:\Users\rao11\Desktop\工作项目' -Filter '*.docx' | Where-Object { $_.Name -like '*4-4*' } | Select-Object -First 1; $env:BOOK_PATH=$f.FullName; @'
import os,re
from docx import Document
p=os.environ['BOOK_PATH']
d=Document(p)
heads=[]
for i,para in enumerate(d.paragraphs,1):
    txt=para.text.strip()
    if not txt: continue
    s=para.style.name if para.style else ''
    if 'Heading' in s or s.startswith('标题') or s in {'heading 1','heading 2','heading 3','Heading 1','Heading 2','Heading 3'}:
        heads.append((i,s,txt))
print('HEADS',len(heads))
for i,s,t in heads[:220]:
    print(i,'|',s,'|',t)

pat=re.compile(r'^第([一二三四五六七八九十0-9]+)章')
nums=[]
for i,s,t in heads:
    m=pat.match(t)
    if m:
        nums.append((i,m.group(1),t))
print('CHAP_MATCH',len(nums))
for x in nums[:80]:
    print(x)
'@ | python -