
Ln 620 Codebase Auditor
This is a coordinator that runs a full codebase audit by dispatching nine specialized workers (ln-621 through ln-629) covering security boundaries, build gates, duplication, maintainability hotspots, dependencies, dead code, diagnosability, concurrency, and runtime config. It enforces mandatory research before scoring anything, aggregates all worker findings into a single remediation report, and handles conflict resolution when workers disagree on issue ownership. The evaluation runtime structure with six phases (config, discovery, research, delegate, aggregate, report, self-check) keeps it systematic. If you need a comprehensive audit that actually validates findings against official docs and current best practices rather than just pattern matching, this orchestrates the whole process and cleans up the temporary artifacts afterward.
- skills.sh installs
- 449
- GitHub stars
- 591
- last updated
- Aug 21, 2026
Install
$ npx -y skills add levnikolaevich/claude-code-skills --skill ln-620-codebase-auditor --agent claude-codeInstalls into .claude/skills of the current project.
Files
This is a coordinator that runs a full codebase audit by dispatching nine specialized workers (ln-621 through ln-629) covering security boundaries, build gates, duplication, maintainability hotspots, dependencies, dead code, diagnosability, concurrency, and runtime config. It enforces mandatory research before scoring anything, aggregates all worker findings into a single remediation report, and handles conflict resolution when workers disagree on issue ownership. The evaluation runtime structure with six phases (config, discovery, research, delegate, aggregate, report, self-check) keeps it systematic. If you need a comprehensive audit that actually validates findings against official docs and current best practices rather than just pattern matching, this orchestrates the whole process and cleans up the temporary artifacts afterward.
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Details
- Repository
- github.com/levnikolaevich/claude-code-skills
- Category
- Data Science & ML
- First seen
- Jun 3, 2026
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