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solo-audit单独审核

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

21,744

周安装

934

GitHub Stars

公开资料未说明

下载量

7,621
OpenClaw

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

MIT-0

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:solo-audit(单独审核)
来源仓库:https://github.com/fortunto2/solo-audit
安装命令:
openclaw skills install solo-audit
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install solo-audit

简介

健康检查知识库技能用于识别断链、标题缺失与标签不一致等问题。

  • 自动扫描文档完整性并支持覆盖率差距分析。solo-audit 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 输出结构化报告便于团队快速定位维护盲区。
  • 结果依赖源数据质量,复杂结构需手动补充元信息。
  • 适用于定期 KB 巡检而非单次深度审查。

SKILL.md

name
solo-audit
description
Health check knowledge base for broken links, missing frontmatter, tag inconsistencies, and coverage gaps. Use when user says "audit KB", "check frontmatter", "find broken links", "tag cleanup", or "knowledge base quality". Do NOT use for SEO audits (use /seo-audit) or code reviews.
license
MIT
metadata
author
fortunto2
version
1.4.1
openclaw
emoji
🩺
allowed-tools
Read, Grep, Bash, Glob, mcp__solograph__kb_search
argument-hint
[optional: focus area like 'tags' or 'frontmatter']

/audit

Audit the knowledge base for quality issues: missing frontmatter, broken links, tag inconsistencies, orphaned files, and coverage gaps. Works on any markdown-heavy project.

Steps

  1. Parse focus area from $ARGUMENTS (optional). If provided, focus on that area (e.g., "tags", "frontmatter", "links"). If empty, run full audit.
  1. Find all markdown files: Use Glob to find all .md files, excluding common non-content directories: .venv/, node_modules/, .git/, archive/, .archive_old/.
  1. Frontmatter audit: First, scan a sample of existing files (first 10-20) to detect the frontmatter schema in use (which fields exist, what values are common for type and status). Then for each markdown file, check:

- Has YAML frontmatter (starts with --- and has closing ---) - Core fields present: title, tags (and any other fields consistently used across the KB) - type and status values (if used) are consistent with the detected schema - tags is a non-empty list Track files missing frontmatter and files with incomplete/invalid frontmatter.

  1. Link check: Look for broken internal links:

- Grep for markdown links \[.*\]\(.*\.md\) and verify each target file exists - If a link-checking script exists in the project (e.g., scripts/check_links.py), run it as well

  1. Tag consistency audit: Use Grep to find all tags: sections across .md files. Look for:

- Near-duplicate tags (e.g., "ai" vs "AI" vs "artificial-intelligence") - Tags used only once (potential typos) - Very common tags that might be too broad List all unique tags with counts.

  1. Orphaned files: Check which files are NOT referenced in any other file's related: field. Files that exist but are never cross-referenced may be orphaned.
  1. Content quality: Find documents that appear to be ideas or opportunities (based on detected type field or directory location) and check:

- Documents still in draft status for more than 30 days - Documents missing key metadata fields that other similar documents have - Documents with very little content (< 100 words, excluding frontmatter)

  1. Coverage gaps: Check each directory for content:

- Flag any empty or near-empty directories - Look for directories with only 1-2 files (may need more content)

  1. Output report:
   ## KB Audit Report

   **Date:** [today]

   ### Summary
   - Total .md files: X
   - With frontmatter: X (X%)
   - Without frontmatter: X

   ### Frontmatter Issues
   | File | Issue |
   |------|-------|
   | path | Missing field: type |

   ### Broken Links
   [list of broken references]

   ### Tag Analysis
   - Total unique tags: X
   - Single-use tags: [list]
   - Potential duplicates: [list]

   ### Orphaned Files
   [files not referenced anywhere]

   ### Content Quality
   - Stale drafts (> 30 days): [list]
   - Missing metadata: [list]
   - Low-content files: [list]

   ### Coverage
   [directory analysis]

   ### Recommendations
   1. [specific action]
   2. [specific action]
   3. [specific action]

Common Issues

No markdown files found

Cause: Running in wrong directory or all files excluded. Fix: Ensure you're in the knowledge base root. Check exclude patterns in step 2.

Too many single-use tags

Cause: Inconsistent tagging across documents. Fix: Pick canonical tags from the most-used list. Run audit again after cleanup.

Frontmatter validation errors

Cause: YAML syntax issues (missing quotes, wrong indentation). Fix: Ensure --- delimiters are present. Use type: and status: values consistent with your KB's detected schema.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

90.95%
按下载量换算6,931

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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