raphaelchristi/harness-evolver/deploy

Claude Code and agent skill by raphaelchristi/harness-evolver

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

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

Install

npx vskill@latest install raphaelchristi/harness-evolver/deploy

SKILL.md

/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

bash
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
bash
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:

bash
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)
json
{
"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":

bash
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":

bash
git diff HEAD~{iterations} HEAD

If "Clean up only":

bash
rm -f trace_insights.json best_results.json comparison.json production_seed.md production_seed.json

If "Promote learnings":

bash
$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

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
53
Repository forks
6
7-day trend score
20

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/raphaelchristi/harness-evolver/deploy/badge)](https://verified-skill.com/skills/raphaelchristi/harness-evolver/deploy)

Something wrong with this skill or its page? Tell us.