Individual skill
harness-genome
7-section repo readiness report from `metaharness genome {path}`. Returns repo_type / agent_topology / risk_score / mcp_surface / test_confidence / publish_readiness. Pure-read; degrades gracefully (ADR-150).
plugins/ruflo-metaharness/skills/harness-genome/SKILL.md
Source commit 722232566ad1fc4e73ba4fefc46d77d380ce61ba
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 81,306
- Repository last updated
- Nov 9, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-memory Repository topic
- agent-orchestration Repository topic
- agentic-ai Repository topic
- agentic-workflow Repository topic
- ai-agents Repository topic
- autonomous-agents Repository topic
- claude Repository topic
- claude-code Repository topic
- codex Repository topic
- hnsw Repository topic
- engineering Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 2,238 bytes
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Companion to `harness-score`. Where score is a 5-dimension numeric
scorecard, genome is a 7-section categorical/numeric report covering
repo type, agent topology recommendations, risk score (0-1), MCP
surface area, test confidence (0-1), and publish readiness (0-1).
## Algorithm
Implementation: [`scripts/genome.mjs`](../../scripts/genome.mjs).
1. Shell out to `npx metaharness genome <path> --json` (60s hard timeout).
2. Parse the shape: `{ repo_type, agent_topology[], risk_score,
mcp_surface, test_confidence, publish_readiness }`.
3. Preserve upstream's readiness verdict as `verdict` and
`verdictExitCode`. Upstream exits 1 for `needs-work` and 2 for `blocked`;