repo-genome
Featured7-section readiness scorecard for a LOCAL repo. Reports repo type + agent topology + MCP risk + test confidence + release readiness + recommended harness plan + scorecard. Exit 0 ready, 1 needs-work, 2 blocked. --json for the 6-field scorecard, --bundle for the ADR-031 schema-1 envelope.
Install
Quality Score: 88/100
Skill Content
Details
- Author
- ruvnet
- Repository
- ruvnet/metaharness
- Created
- 2 months ago
- Last Updated
- today
- Language
- TypeScript
- License
- MIT
Integrates with
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
repo-harness-check
Verification entrypoint for repo-harness workflow readiness. Runs workflow gates, task sync, contract checks, inspector, and migration dry-run before merge or release.
agent-readiness
Scores how ready a repository is for AI coding agents to work in it effectively, then remediates the gaps - grades agent instruction files, verifiable feedback loops, onboarding reproducibility, and codebase navigability against a fixed 30-signal rubric, stack-agnostic across TypeScript, Python, Go, Rust, Ruby, Java, C#, and PHP/Laravel. Activates when the user says 'is this repo agent-ready', 'readiness report', 'readiness score', 'agent readiness', 'audit this repo for AI agents', 'why do agents struggle in this codebase', 'make this repo agent-friendly', 'audit our agent instruction files', or 'score our agent readiness'. Owns the scoring and the remediation plan; defers the writing of ./docs content to vd:docs, locating code to vd:scout, public documentation sites to vd:docs site, refactoring a change toward its intended architecture to vd:simplify --aggressive, and authoring instruction files and skills to vd:skill-creator.
agentic-legibility
Score a repository's agentic legibility from repo-visible evidence only. Use when Codex needs to audit how easy a codebase is for coding agents to discover, bootstrap, validate, and navigate, especially for harness-engineering reviews, developer-experience audits, repo cleanup, or before/after comparisons after improving docs, tooling, or architectural constraints.