wiki-lint

Audit markdown wikis for broken links, orphan pages, and frontmatter gaps.

133|19|Updated May 4, 2026
One-click install
npx skills add https://github.com/Mark393295827/third-brain-v5-skills --skill wiki-lint-mark393295827
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wiki-lint
Source: https://github.com/Mark393295827/third-brain-v5-skills/tree/main/skills/wiki-lint
Command: npx skills add https://github.com/Mark393295827/third-brain-v5-skills --skill wiki-lint-mark393295827

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill finds structural, content, and provenance problems in a knowledge wiki before they spread into broken navigation, unreliable claims, or stale operating rules.

Core Features & Use Cases

  • Health Checks: Scans for missing frontmatter, broken links, orphan pages, stale content, contradictions, statistical drift, and index mismatches.
  • Knowledge-Base Governance: Evaluates source debt, daily-loop health, and rule-promotion readiness so maintenance decisions are evidence-based.
  • Operational Reporting: Produces a ranked lint report with severity, file paths, and concrete repair actions for human review or follow-up automation.
  • Use Case: Run it on an Obsidian-style vault after a large ingest to catch graph damage, trust issues, and workflow regressions before the wiki becomes hard to use.

Quick Start

Use wiki-lint on my vault to check frontmatter, broken links, orphans, stale pages, contradictions, drift, stats, and index health, then write a ranked report with recommended fixes.

Frequently Asked Questions about wiki-lint

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check an Obsidian vault for broken links and orphan pages?

To check an Obsidian vault for broken links and orphan pages, you can run a wiki audit that scans graph integrity and identifies disconnected notes. The process evaluates link validity and page isolation, producing a severity-ranked report with file paths and concrete repair actions.

What is knowledge base provenance and why does it matter for wiki maintenance?

Knowledge base provenance tracks the origin and source debt of information within your wiki. Auditing provenance gaps matters for wiki maintenance because it ensures durable research notes remain trustworthy, catching unreliable claims and source attribution issues before they spread into stale operating rules.

How do I audit markdown frontmatter for missing fields in a wiki?

You can audit markdown frontmatter by running a structural health check that scans files for missing metadata fields. This linting process validates frontmatter consistency across the vault, generating a report that highlights files lacking required attributes and recommends specific repair actions.

Does wiki linting work for detecting contradictions and content drift in research notes?

Wiki linting does work for detecting contradictions and content drift in research notes by applying lifecycle awareness and statistical analysis. It evaluates stale content, identifies conflicting claims, and measures drift over time, outputting a ranked report of inconsistencies requiring human review.

Can I validate a knowledge base after a large data ingest before publishing?

You can validate a knowledge base after a large data ingest by running post-ingest validation checks for graph damage and trust issues. This process catches structural problems, frontmatter gaps, and workflow regressions introduced during the ingest, ensuring the wiki remains navigable before publishing.

What is the best way to find stale content in a markdown knowledge wiki?

The best way to find stale content in a markdown knowledge wiki is through lifecycle-aware auditing that evaluates page freshness and index mismatches. This approach identifies outdated operational rules and dormant notes, delivering a ranked report with severity levels and recommended maintenance actions.