Deploy

Skill raphaelchristi/harness-evolver/skills/deploy

Use when the user is done evolving and wants to finalize, clean up, tag the result, or push the optimized agent.From its SKILL.md

Install

npx -y skills add raphaelchristi/harness-evolver --skill deploy

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

2.8 KB, as published. Nobody here has run it

/harness:deploy

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.

What To Do

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")}"

1. Show Results

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

2. Ask What To Do (interactive)

{
  "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)"}
    ]
  }]
}

3. Execute

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.

4. Report

What was done
LangSmith experiment URL for the best result
Suggest reviewing the changes before deploying to production