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
In this repository14 other files it gives its agents.
- a2a-agent-delegationSkill
- agent-memory-patternsSkill
- agent-observabilitySkill
- agent-redteam-securitySkill
- browser-agent-automationSkill
- build-mcp-serverSkill
- create-production-skillSkill
- cursor-sdk-automationSkill
- deploy-agent-productionSkill
- evaluate-agent-qualitySkill
- langgraph-multi-agentSkill
- multi-agent-supervisorSkill
- rag-agent-pipelineSkill
- secure-mcp-serverSkill
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
- Distinctive: line 66
Do not run untrusted code from fork PRs with secrets
≈ “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.
Files
GitHub CI Agents
Common patterns
| Pattern | Trigger | Agent role |
| PR review | pull_request | Comment risks + suggestions |
| Eval gate | push / schedule | Run golden evals; fail on regression |
| Fix bot | issue_comment / label | Open PR with patch |
| Docs sync | push to main | Update 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 --smokeSecrets
- Store keys in GitHub Actions secrets or OIDC — never in workflow YAML values
- Separate staging vs production keys
- Minimum
permissionsonGITHUB_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.tsScript should: create agent → prompt → wait → export diff artifact.
Safety
pull_request_targetonly 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.
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
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.

