agentleFS
m00kkm00kk/agent-skills-playbook/skills/github-ci-agents/SKILL.md

github-ci-agents

Skill0 starsChanged 6 months agoMITView on GitHub

Wires AI agents into GitHub Actions: PR review bots, eval gates, Cursor SDK jobs, and MCP-powered checks. Use for CI/CD with agents, GitHub Actions LLM, or automated code review on pull requests.

  • Reads credentials

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Do not run untrusted code from fork PRs with secrets

    line 66

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

GitHub CI Agents

Common patterns

PatternTriggerAgent role
PR reviewpull_requestComment risks + suggestions
Eval gatepush / scheduleRun golden evals; fail on regression
Fix botissue_comment / labelOpen PR with patch
Docs syncpush to mainUpdate derived docs

Workflow skeleton

name: Agent eval
on:
  pull_request:
    branches: [main]
permissions:
  contents: read
jobs:
  eval:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Run eval suite
        env:
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
        run: python -m evals.run --smoke

Secrets

  • Store keys in GitHub Actions secrets or OIDC — never in workflow YAML values
  • Separate staging vs production keys
  • Minimum permissions on GITHUB_TOKEN

PR review agents

  • Post summary comment + inline suggestions only on changed files
  • Block merge only on objective checks (tests, eval pass) — not subjective tone
  • Rate-limit comments to avoid noise

Cursor SDK in Actions

- name: Run Cursor agent
  env:
    CURSOR_API_KEY: ${{ secrets.CURSOR_API_KEY }}
  run: npx tsx scripts/run-agent.ts

Script should: create agent → prompt → wait → export diff artifact.

Safety

  • pull_request_target only when you understand fork secret exposure
  • Do not run untrusted code from fork PRs with secrets
  • Require human approval for write operations to repo

Pair with evaluate-agent-quality and cursor-sdk-automation.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.