harness:deploy
Use when the user is done evolving and wants to finalize, clean up, tag the result, or push the optimized agent.
Skill by raphaelchristi
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/raphaelchristi-harness-deploy
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: devops, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/harness-deploy
What's inside
- Skill 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.
- License
- MIT
- Instructions
- 84 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: only lowercase letters, digits and single hyphens allowed
- name: "harness:deploy" does not match folder "deploy"
- allowed-tools: must be a space-separated string
Files (1)
- SKILL.md
SKILL.md (first lines)
# /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 productionFrom raphaelchristi/harness-evolver, MIT.
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- 0.473score
dev:dry-run
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Use when the user wants to smoke-test the evolve pipeline, test tools, or verify the plugin works end-to-end.
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dev:release
raphaelchristi
Use when the user wants to release a new version, publish to npm, create a GitHub release, bump version, or tag a release.
SkillDFreshness: D★ 57Claude Code +9 - 0.473score
dev:validate
raphaelchristi
Use when the user wants to validate the plugin, check integrity, verify cross-references, or before a release.
SkillDFreshness: D★ 57Claude Code +9 - 0.473score
harness:certify
raphaelchristi
Use when the user wants to verify that the evolved agent's score is stable and reliable.
SkillDFreshness: D★ 57Claude Code +9 - 0.473score
harness:evolve
raphaelchristi
Use when the user wants to run the optimization loop, improve agent performance, evolve the agent, or iterate on quality.
SkillDFreshness: D★ 57Claude Code +9 - 0.473score
harness:health
raphaelchristi
Use when the user wants to check dataset quality, diagnose eval issues, or before running evolve.
SkillDFreshness: D★ 57Claude Code +9 - 0.473score
harness:setup
raphaelchristi
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…
SkillDFreshness: D★ 57Claude Code +9 - 0.473score
harness:status
raphaelchristi
Use when the user asks about evolution progress, current scores, best version, how many iterations ran, or whether the loop is stagnating.
SkillDFreshness: D★ 57Claude Code +9
Signals
- Stars
- 57
- Forks
- 5
- Open issues
- 2
- Last commit (this folder)
- Apr 3, 2026 (7 months ago)
- Last release
- Apr 4, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from raphaelchristi
- 0.473score
dev:dry-run
raphaelchristi
Use when the user wants to smoke-test the evolve pipeline, test tools, or verify the plugin works end-to-end.
SkillDFreshness: D★ 57Claude Code +9 - 0.473score
dev:release
raphaelchristi
Use when the user wants to release a new version, publish to npm, create a GitHub release, bump version, or tag a release.
SkillDFreshness: D★ 57Claude Code +9 - 0.473score
dev:validate
raphaelchristi
Use when the user wants to validate the plugin, check integrity, verify cross-references, or before a release.
SkillDFreshness: D★ 57Claude Code +9 - 0.473score
harness:certify
raphaelchristi
Use when the user wants to verify that the evolved agent's score is stable and reliable.
SkillDFreshness: D★ 57Claude Code +9 - 0.473score
harness:evolve
raphaelchristi
Use when the user wants to run the optimization loop, improve agent performance, evolve the agent, or iterate on quality.
SkillDFreshness: D★ 57Claude Code +9 - 0.473score
harness:health
raphaelchristi
Use when the user wants to check dataset quality, diagnose eval issues, or before running evolve.
SkillDFreshness: D★ 57Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
harness:deploy skill. Agent Mart. https://agentmart.dev/skills/raphaelchristi-harness-deploy (last updated 2026-10-24)