ln-614-docs-fact-checker

Solid

Verifies claims in .md files (paths, versions, counts, configs, endpoints) against codebase, cross-checks contradictions. Use when auditing docs accuracy.

AI & Automation 479 stars 67 forks Updated yesterday MIT

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Quality Score: 94/100

Stars 20%
89
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

> **Paths:** File paths (`shared/`, `references/`, `../ln-*`) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root. If `shared/` is missing, fetch files via WebFetch from `https://raw.githubusercontent.com/levnikolaevich/claude-code-skills/master/skills/{path}`. # Documentation Fact-Checker (L3 Worker) **Type:** L3 Worker Specialized worker that extracts verifiable claims from documentation and validates each against the actual codebase. ## Purpose & Scope - Prioritize canonical and high-claim docs, then extract verifiable claims from markdown documentation - Verify each claim against codebase (Grep/Glob/Read/Bash) - Detect **cross-document contradictions** (same fact stated differently) - Includes `docs/reference/`, `docs/tasks/`, `tests/` in scope - Single invocation (not per-document) -> cross-doc checks require global view - Does NOT check scope alignment or structural quality ## Inputs **MANDATORY READ:** Load `shared/references/audit_worker_core_contract.md`, `shared/references/docs_quality_contract.md`, `shared/references/docs_quality_rules.json`, `shared/references/markdown_read_protocol.md`, `shared/references/mcp_tool_preferences.md`, and `shared/references/mcp_integration_patterns.md`. Receives `contextStore` with: `tech_stack`, `project_root`, `output_dir`. ## Workflow ### Phase 1: Parse Context Extract tech stack, project root, output_dir from contextStore. ### Phase 2: Discover Docume...

Details

Author
levnikolaevich
Repository
levnikolaevich/claude-code-skills
Created
7 months ago
Last Updated
yesterday
Language
JavaScript
License
MIT

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