Catch broken Markdown links before they reach readers, using a lightweight CLI designed for reliable documentation checks in Openclaw Skills workflows.
从源直接安装技能的最快方式。
npx clawhub@latest install md-link-audit
将技能文件夹复制到以下位置之一
~/.openclaw/skills/ <project>/skills/ 优先级:工作区 > 本地 > 内置
将此提示词复制到 OpenClaw 即可自动安装。
请帮我使用 Clawhub 安装 md-link-audit。如果尚未安装 Clawhub,请先安装(npm i -g clawhub)。
获取包含原生技能文件的ZIP压缩包。
Markdown Link Auditor is a zero-dependency Python CLI for checking links in README files, wikis, and technical manuals. Use it before publishing or after a project path refactor to identify dead links and references that may have drifted.
For CI/CD, it provides deterministic results, machine-readable --json output, and return codes that distinguish a clean result, a warning, and bad input. Its CI-friendly approach is intended to reduce misleading failures associated with external-link timeouts, making it a practical addition to Openclaw Skills for documentation maintenance.
--json when machine-readable output is needed.0 indicates success, 1 indicates a warning, and 2 indicates bad input.Requirements: Python 3.8 or newer. The skill declares no Python package dependencies. Run the script from the skill directory or adjust the path to match your checkout.
python3 scripts/md_link_audit.py README.md
To read Markdown from standard input:
cat README.md | python3 scripts/md_link_audit.py
For machine-readable output:
python3 scripts/md_link_audit.py README.md --json
Use the resulting exit code in CI to define how warnings affect your pipeline. Openclaw Skills users can invoke the CLI locally or from an existing build job; the provided skill documentation does not specify a separate package installation step.
The auditor reports results to standard output and does not document generated report files. With --json, output is described as a structured JSON intermediate representation.
| Output element | Meaning |
|---|---|
result |
Audit result payload |
rc |
Result status code: 0 for success, 1 for warning, 2 for bad input |
error_code |
Error classification when applicable |
warnings |
Warning information when applicable |
The skill documentation does not define the exact types or nested fields for each JSON element. No separate metadata taxonomy or on-disk data format is specified.
--json exposes structured results for scripts and CI integrations.0, 1, and 2 let teams distinguish success, warnings, and invalid input.加载中
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