skill-auditor

You can detect near-duplicate skills by running the auditor to compare skill descriptions across registries, which applies near-duplicate analysis to reduce fragmentation and provides automated merge recommendations in a JSON findings report.

The best way to consolidate fragmented skills is cross-registry duplicate detection, which scans all registries, prioritizes merge candidates for remediation, and produces an actionable governance plan to maintain a clean skill ecosystem.

No dependencies are required to scan SKILL.md files, as the auditor operates independently using its internal scripts to parse skill metadata and produce prioritized remediation proposals for stakeholders.

Yes, you can generate a remediation report that identifies empty entries and merge candidates, outputting a JSON findings report with prioritized action proposals to guide governance and maintenance tasks.

You should not use an automated registry auditor when you need manual semantic review of complex skills, because it relies on parsing metadata and comparing descriptions rather than evaluating deep functional logic or contextual workflow fit.