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/wiki-lint — measured AI agent skill | DecimalAI

alirezarezvani/wiki-lint

NewSkillScoreMaintained

Run a health check on the LLM Wiki vault — mechanical checks (orphans, broken links, stale pages, missing frontmatter, log gap, duplicates) plus semantic checks (contradictions, cross-reference gaps, concepts missing their own page). Outputs a markdown report with suggested actions. Usage /wiki-lint [--stale-days N] [--log-gap-days N]

Documentationby alirezarezvani

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Knowledge Management pack

decimalai skills pull alirezarezvani-wiki-lint

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/alirezarezvani-wiki-lint/SKILL.md

Raw file: /s/alirezarezvani-wiki-lint/SKILL.md ↗ · machine-readable summary at /s/alirezarezvani-wiki-lint.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 3h ago

—-1% tokens0% turns73% of whole cases pass with skill (16/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-13	✗→✓	▲ Improved	16%	0%
case-14	✗→✓	▲ Improved	3%	0%
case-07	✗→✓	▲ Improved	-21%	0%
case-06	✗→✓	▲ Improved	62%	0%
case-10	✗→✓	▲ Improved	-9%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

alirezarezvani / claude-skills

.gemini/skills/wiki-lint/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Skill contents

SKILL.md

/wiki-lint

Health-check the wiki. Surfaces orphan pages, broken wikilinks, stale claims, missing frontmatter, contradictions, and structural drift. Reports, doesn't silently fix — you decide what to change.

Run this weekly, after batch ingests, and always before sharing the wiki.

Usage

/wiki-lint
/wiki-lint --stale-days 60
/wiki-lint --log-gap-days 7

What happens

Pass 1 — Mechanical (scripts)

engineering/llm-wiki/skills/llm-wiki/scripts/lint_wiki.py — orphans, broken links, stale pages, missing frontmatter, duplicate titles, log gap
engineering/llm-wiki/skills/llm-wiki/scripts/graph_analyzer.py — hubs, sinks, connected components, graph stats

Pass 2 — Semantic (LLM reads and thinks)

Contradictions between recently-updated pages
Stale claims superseded by newer sources
Concepts mentioned in plain text across 3+ pages without their own page
Cross-reference gaps (entities mentioned but not wikilinked)
Index drift (index.md out of sync with wiki/)

Pass 3 — Report

A markdown report grouped by severity:

markdown
# Wiki lint — <date>

**Total pages:** N  **Components:** N  **Last log:** <date>

## Found
- ⚠️ <N> contradictions (list)
- <N> orphans
- <N> broken links
- <N> stale pages
- ...

## Suggested actions
1. Investigate contradiction between [[sources/a]] and [[sources/b]]
2. Create concept page for "<name>"
3. Fix broken link in [[concepts/x]]
4. Re-ingest [[sources/c]] — stale + contradicted
5. ...

Then appends a lint entry to log.md.

Sub-agent

Dispatches the wiki-linter sub-agent. See agents/wiki-linter.md.

Scripts

engineering/llm-wiki/skills/llm-wiki/scripts/lint_wiki.py
engineering/llm-wiki/skills/llm-wiki/scripts/graph_analyzer.py
engineering/llm-wiki/skills/llm-wiki/scripts/append_log.py

Frequency

| Trigger | Pass | |---|---| | Weekly | Mechanical only — fast | | After batch ingest | Full (mechanical + semantic) | | Monthly | Full + structural review | | Before sharing | Full + extra review |

Skill Reference

→ engineering/llm-wiki/skills/llm-wiki/SKILL.md → engineering/llm-wiki/skills/llm-wiki/references/lint-workflow.md

Want to see if alirezarezvani/wiki-lint would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.