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Audit

针对Markdown知识库的质量审计工具,支持全量审计或聚焦指定领域(如标签、前置元数据、链接)。核心检查项包括缺失/不合规前置元数据、内部断链、标签重复/单用途问题、孤立文件、内容覆盖缺口等。适用于维护Markdown为主的项目知识库质量,输入可选审计聚焦领域,输出结构化审计报告,含问题清单与优化建议。

fortunto2
fortunto2
热度 89.49
最近更新 2026-05-17 12:22:41
分类:知识依赖:读写文件 / 代码执行 / MCP 服务应用场景:报告撰写

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add solo-audit
Metadata
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.

  2. Find all markdown files: Use Glob to find all .md files, excluding common non-content directories: .venv/, node_modules/, .git/, archive/, .archive_old/.

  3. 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.
  4. 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
  5. 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.
  6. 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.

  7. 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)
  8. 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)
  9. 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.