Audit AI documentation, dependency graphs, and memory synchronization across project structures.
npx skills add https://github.com/Rwanbt/HireLens --skill verify-ai-docs
Please help me install this Agent Skill. Skill: verify-ai-docs Source: https://github.com/Rwanbt/HireLens/tree/main/.agents/skills/verify-ai-docs Command: npx skills add https://github.com/Rwanbt/HireLens --skill verify-ai-docs
This skill addresses the common issue of documentation drift and stale AI context in complex codebases, ensuring that your AI-assisted development tools always have accurate, up-to-date information.
Execute the verify ai docs command to perform a full health check of your current project and receive an actionable report.
High-intent search queries and answers about installing and using this skill.
You can audit AI documentation coverage by performing a comprehensive health audit that checks for stale context files and missing hooks. This validates dependency graphs and memory system synchronization across multi-language project structures.
A health check for an AI-native development stack validates that your documentation, dependency graphs, and memory vaults are synchronized. It detects stale AI context files and missing automation hooks to ensure accurate AI-assisted development workflows.
You can fix stale summaries and update dependency graphs automatically by running an auto-fixing health audit. This implements automated remediation for summary generation and dependency graph updates to maintain system integrity.
Yes, you need python3, git, and graphify installed to perform an AI documentation health audit. These dependencies are required to analyze project structures, validate dependency graphs, and execute the automated remediation scripts.
You should run a documentation coverage audit before a major feature push or when onboarding a new contributor. This verifies that all modules have valid AI_CONTEXT.md files and that automation hooks are correctly configured to prevent documentation drift.
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