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ruvnet-metaharness

Generate or evolve a repository-specific CLI, MCP and skills harness using MetaHarness, with bounded evaluation and explicit release authority.

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  • SKILL.md3.1 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Build a repo-specific harness

Read MetaHarness's current guide and the target repository's instructions. MetaHarness generates a candidate harness; this entrypoint does not implement or certify Darwin, model learning, or sandbox enforcement.

Use ruvnet_plan if available for a deterministic advisory scaffold. Otherwise follow this bounded flow:

  1. Specify the repository/ref, task, host, budget, data classes, authority and measurable acceptance criteria. Preserve the user's chosen stack. Inspect existing harness files before generating replacements.
  2. Check the reviewed CLI version and --help. Upstream currently documents npx metaharness score <repo> for read-only suitability scoring, and npx metaharness my-bot --template vertical:coding --host claude-code for a coding starter. Pin a reviewed version before repeatable execution. Never interpolate an untrusted goal into a shell command.
  3. Generate into an isolated directory. Inspect the resulting files and manifest before installing dependencies or running scripts. Keep only the tools the target requires. A host unable to enforce a required restriction needs an actual sandbox; do not silently drop the restriction.
  4. Evaluate a fixed baseline and candidate on held-out cases. Record input revision, dependency locks, commands, result hashes, sample count, failures, cost, cold start and p50/p95 latency. Distinguish local dispatch speed from model quality and end-to-end task completion.
  5. Promote only when the candidate improves the declared objective, respects the budget, introduces no unacceptable regression, and has a tested rollback. Evaluation must be independent of the candidate. A plan or self-reported pass cannot authorize promotion.
  6. Publish or merge when authorized in the task and the gates pass. Preserve evidence and rollback. Never add a schedule or indefinite self-improvement loop without authorization.

For an authorized ruOS user-journey evaluation, read Dream Machine's reviewed ruOS runbook. Select a dedicated owned desktop from live status rather than a personal or shared session. Freeze exact revisions, evaluator, workload, environment, nonce, tenant, assertions and thresholds before execution. Require authoritative status: ok, numeric exit code zero, completionVersion: 1, completionVerified: true, and actual screenshot bytes. Missing evidence is INCONCLUSIVE; stdout, screenshot dimensions, hashes, readiness or an ACCEPT receipt cannot grant merge or deployment authority. Keep private screenshots and credentials out of reports.

Scope reusable memory to the repo and principal. Store validated patterns with provenance; retrieve before repeating an expensive experiment. Do not retain secrets or treat previous outcomes as proof for a new environment.

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