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Use when the user is done evolving and wants to finalize, clean up, tag the result, or push the optimized agent.
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Baseado na classificação ocupacional SOC
Use when the user wants to run the optimization loop, improve agent performance, evolve the agent, or iterate on quality. Requires .evolver.json to exist (run harness:setup first).
Use when the user wants to verify that the evolved agent's score is stable and reliable. Runs evaluation multiple times and reports mean ± std.
Use when the user wants to set up the evolver in their project, optimize an LLM agent, improve agent performance, or mentions evolver for the first time in a project without .evolver.json.
Use when the user wants to check dataset quality, diagnose eval issues, or before running evolve. Checks size, difficulty distribution, dead examples, coverage, and splits. Auto-corrects issues found.
Use when the user asks about evolution progress, current scores, best version, how many iterations ran, or whether the loop is stagnating.
Use when the user wants to smoke-test the evolve pipeline, test tools, or verify the plugin works end-to-end. Also use when the user says 'dry run', 'smoke test', or 'test pipeline'.
| name | harness:deploy |
| description | Use when the user is done evolving and wants to finalize, clean up, tag the result, or push the optimized agent. |
| allowed-tools | ["Read","Write","Bash","Glob","AskUserQuestion"] |
Finalize the evolution results. In v3, the best code is already in the main branch (auto-merged during evolve). Deploy is about cleanup, tagging, and pushing.
TOOLS="${EVOLVER_TOOLS:-$([ -d ".evolver/tools" ] && echo ".evolver/tools" || echo "$HOME/.evolver/tools")}"
EVOLVER_PY="${EVOLVER_PY:-$([ -f "$HOME/.evolver/venv/bin/python" ] && echo "$HOME/.evolver/venv/bin/python" || echo "python3")}"
python3 -c "
import json
c = json.load(open('.evolver.json'))
baseline = c['history'][0]['score'] if c['history'] else 0
best = c['best_score']
improvement = best - baseline
print(f'Baseline: {baseline:.3f}')
print(f'Best: {best:.3f} (+{improvement:.3f}, {improvement/max(baseline,0.001)*100:.0f}% improvement)')
print(f'Iterations: {c[\"iterations\"]}')
print(f'Experiment: {c[\"best_experiment\"]}')
"
Show git diff from before evolution started:
git log --oneline --since="$(python3 -c "import json; print(json.load(open('.evolver.json'))['created_at'][:10])")" | head -20
{
"questions": [{
"question": "Evolution complete. What would you like to do?",
"header": "Deploy",
"multiSelect": false,
"options": [
{"label": "Tag and push", "description": "Create a git tag with the score and push to remote"},
{"label": "Just review", "description": "Show the full diff of all changes made during evolution"},
{"label": "Clean up only", "description": "Remove temporary files (trace_insights.json, etc.) but don't push"},
{"label": "Promote learnings", "description": "Add proven evolution insights to CLAUDE.md (permanent knowledge)"}
]
}]
}
If "Tag and push":
VERSION=$(python3 -c "import json; c=json.load(open('.evolver.json')); print(f'evolver-v{c[\"iterations\"]}')")
SCORE=$(python3 -c "import json; print(f'{json.load(open(\".evolver.json\"))[\"best_score\"]:.3f}')")
git tag -a "$VERSION" -m "Evolver: score $SCORE"
git push origin main --tags
If "Just review":
git diff HEAD~{iterations} HEAD
If "Clean up only":
rm -f trace_insights.json best_results.json comparison.json production_seed.md production_seed.json
If "Promote learnings":
$EVOLVER_PY $TOOLS/promote_learnings.py --memory evolution_memory.md --target CLAUDE.md --threshold 5 --dry-run
Show the dry-run output. If the user approves, run without --dry-run.