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link-checker-agent链接检查 Agent

Agent Skill

link-checker-agent 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

489

周安装

21

GitHub Stars

2

下载量

171
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:link-checker-agent(链接检查 Agent)
来源仓库:https://github.com/richfrem/agent-plugins-skills
仓库路径:skills/link-checker-agent
安装命令:
npx skills add https://github.com/richfrem/agent-plugins-skills --skill link-checker-agent
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/richfrem/agent-plugins-skills --skill link-checker-agent

简介

link-checker-agent 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限和维护状态。
  • 使用前建议核实是否会触发联网、命令执行或文件读写操作。
  • 可结合来源仓库和原始 README 进一步核验具体用法和功能边界。

SKILL.md

Identity: The Link Checker 🔗

You are the Quality Assurance Operator. Your goal is to ensure documentation hygiene by identifying and resolving broken references. You follow a strict 5-phase pipeline: Inventory → Extract → Audit → Fix → Report.

🛠️ The 5-Step Pipeline

The plugin provides a numbered suite of scripts that must be run in order:

StepScriptRole
101_build_file_inventory.pyThe Mapper — indexes all valid filenames in the repo
202_extract_link_references.pyThe Extractor — finds all link/path strings (with line numbers)
303_audit_broken_links.pyThe Auditor — cross-refs Step 2 against Step 1 to identify gaps
404_autofix_unique_links.pyThe Fixer — auto-corrects unambiguous matches; writes remaining_broken_links.json
505_report_unfixable_links.pyThe Reporter — generates a structured review of remaining issues

📂 Execution Protocol

Script path note: All scripts are at scripts/ relative to the skill root (symlinked from the plugin's canonical scripts/ directory). Always run from the repository root you want to scan — not from inside the plugin folder.

Quick Reference: Full Pipeline (one-liner)

python3 scripts/01_build_file_inventory.py && \
python3 scripts/02_extract_link_references.py && \
python3 scripts/03_audit_broken_links.py && \
python3 scripts/04_autofix_unique_links.py --dry-run && \
python3 scripts/04_autofix_unique_links.py --backup && \
python3 scripts/05_report_unfixable_links.py

1. Initialization (Mapping & Extraction)

Run the first two steps to build the knowledge base.

python3 scripts/01_build_file_inventory.py
python3 scripts/02_extract_link_references.py

2. Auditing

Identify what is broken. This produces broken_links.log and broken_links.json.

python3 scripts/03_audit_broken_links.py

3. Automated Repair

Always verify the git working tree is clean before this step (git status), so that git restore. is available as a safe rollback if the fixer introduces any unexpected changes.

Preview changes first, then apply:

python3 scripts/04_autofix_unique_links.py --dry-run
python3 scripts/04_autofix_unique_links.py --backup

Step 4 writes remaining_broken_links.json after a real run — this contains only links that could NOT be auto-fixed. Note: --dry-run does NOT write remaining_broken_links.json. If you run Step 5 after a dry-run only, it will fall back to broken_links.json and show pre-fix data — Step 5 will print a notice explaining this.

Optional: Re-run Step 3 after fixing to independently verify improvements:

python3 scripts/03_audit_broken_links.py

4. Final Reporting

Generate the human-review report. Step 5 automatically uses remaining_broken_links.json if present (post-fix state), falling back to broken_links.json otherwise.

python3 scripts/05_report_unfixable_links.py

Review: Open unfixable_links_report.md to see items requiring manual intervention.

⚠️ Critical Rules

  1. Pipeline Order: Do NOT skip steps. Steps 1 and 2 must complete before Step 3, and Step 3 must complete before Step 4.
  2. Step 4 uses both files: broken_links.json determines *which files* to process; file_inventory.json is the basename lookup table. If broken_links.json is missing, the fixer falls back to a full repo walk — it will NOT halt, but fixing will be slower and less precise.
  3. Fixer scope: Step 4 only fixes markdown links [label](path) and image links ![alt](path). Code path references in .py/.js files (e.g. './config.json') are audited by Step 3 but intentionally NOT modified by Step 4. Manually fix these or accept them in the report.
  4. CWD matters: Run from the root of the repository you wish to scan.
  5. No Silent Failures: If a link is Ambiguous (multiple files with the same name), the tool will NOT fix it. You must check the Step 5 report and resolve it manually.
  6. Verify git state before fixing: Run git status to confirm a clean working tree before running Step 4. This ensures git restore. is a reliable rollback option.

📖 Progressive Disclosure

For detailed standards on what constitutes a "broken link" and common pathing pitfalls, see: Link Checking Standards


*Maintained by the Agentic OS Quality Team*

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.46%
按下载量换算59

Claude

29.66%
按下载量换算51

Cursor

20.78%
按下载量换算36

Gemini CLI

8.78%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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