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AF knowledge-health-checker

Audit and improve Markdown knowledge-base health across Obsidian, Logseq, Notion exports, docs folders, and wiki repositories. Detect empty placeholder notes, broken wiki links, weak content density, orphan notes, graph fragmentation, stale files, and repair opportunities. Generate health scores, actionable reports, and safe fix plans. Use for knowledge base audit, wiki lint, broken link detection, Obsidian vault cleanup, markdown graph health, content quality review, and documentation garden maintenance.

ClawHub Agent Skills author: xb19960921 v1.0.1 MIT-0 11 files body ≈ 2 118 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 51/100 · Will not run — References files that are not bundled: path.md, ../path/file.md

AnalyzerNotionObsidianData and analyticsWriting and documentsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
99
Quality 40%
78
Run on models
none yet
Process rating
F
51/100
Will not run
References files that are not bundled: path.md, ../path/file.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • low Concealment en-hide-from-user SKILL.md:223
    Instruction to hide actions from the user (negated — the text forbids it)
    Never silently delete or rewrite knowledge files.
    negated

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: path.md
  • warning missing-ref reference to a missing file: ../path/file.md
  • note frontmatter-key unknown frontmatter key "last_updated"
  • note frontmatter-key unknown frontmatter key "changelog"

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: path.md, ../path/file.md
  • 0Tools and files. 2 referenced file(s) missing: path.md, ../path/file.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 6 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 60Failures and branches. 2 branches
  • 100Steps. 75 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2118 tokens
  • low 10 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 510: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 75 items
  • +3Output format is stated explicitly
  • +4Has examples (10 code blocks)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This is a coherent local Markdown knowledge-base auditor, but generated reports and repair scripts should be reviewed before opening or running them.
LLM: benign (medium) · VirusTotal: · 29 May 2026