Semantic Content Auditor
Audits project documentation for semantic alignment, scope coverage, and adherence to project goals.
The Semantic Content Auditor is a specialized L3 worker designed to ensure your project's internal documentation remains focused, relevant, and comprehensive. It evaluates key files like CLAUDE.md, architecture guides, and requirements against their stated scope and 'doc-kind' (e.g., how-to vs. reference), identifying off-topic content, coverage gaps, and Single Source of Truth (SSOT) violations. By automating the semantic review process, it helps maintain high-quality documentation standards and prevents instruction creep in AI-specific configuration files, ensuring your codebase remains navigable for both humans and AI agents.
Key Features
01Doc-kind specific auditing for references, how-tos, and explanations
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03Scope-aware semantic verification against stated project goals
04Specialized optimization for AGENTS.md and CLAUDE.md instruction files
05Automated identification of Single Source of Truth (SSOT) violations
06Detection of coverage gaps, off-topic content, and scope creep
Use Cases
01Reviewing project architecture and requirements for completeness and relevance
02Ensuring technical documentation follows organizational standards and documentation kinds
03Pruning bloated instruction files to save context tokens in AI sessions