AI项目文档生成Skill
v1.0.0智能化工具自动生成开源项目README.md和CHANGELOG.md，支持多平台分发，无需手动编写。
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by@moodsir
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (generate README.md and CHANGELOG.md) matches the provided app.py implementation which generates changelogs and READMEs locally. Minor mismatch: SKILL.md and some docs mention '一键分发' and 'npx clawhub install' / an 'ai-doc-generator' CLI, but no installer, Node package, or distribution code is included — distribution/platform integration is only documented (PLATFORMS.md), not implemented in code.
Instruction Scope
SKILL.md and README suggest running an 'ai-doc-generator' CLI via npx, but the actual runnable entry is python app.py with subcommands (changelog/readme). The runtime instructions do not ask for file reads outside argv, environment variables, or network access — the script only processes input strings and prints output.
Install Mechanism
There is no install spec and the skill is instruction-plus-source (app.py). Nothing is downloaded or written during install by the registry metadata. This is low-risk; users will need to run the Python script or package it themselves.
Credentials
The skill declares no required environment variables, no credentials, and the code does not access environment variables, network endpoints, or external secrets. Requested privileges are minimal and proportionate.
Persistence & Privilege
always is false and the skill does not request persistent presence nor modify other skills or system configs. It runs locally and prints output; no elevated privileges are requested.
Assessment
This appears to be a simple, local Python tool to generate README and changelog text — the core code (app.py) is self-contained and does not access the network or secrets. Before installing or exposing it to an agent: 1) Note the mismatch between SKILL.md (npx/ai-doc-generator) and the actual entrypoint (python app.py); you will run it with python app.py <changelog|readme>. 2) If you expect automatic distribution to other platforms, understand that distribution steps are documented but not implemented — you would need to package/integrate it yourself. 3) Review the source (app.py) if you plan to let an agent invoke it autonomously; while harmless now, any future modifications could add network or secret access. 4) If you want a CLI named ai-doc-generator or Node-based install, require the publisher to provide a proper installer or packaging info. Overall the skill is coherent and low-risk, but verify usage expectations (CLI name/installation) before relying on the documented install steps.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.