ci-workflow-doctor
Skill0 starsChanged 5 months agoMITView on GitHub
Lint GitHub Actions workflows for deploy-breaking and security mistakes. Use whenever the user writes or edits a workflow file, mentions GitHub Actions, sets up CI/CD, complains that deploys land out of order, or before the first automated deploy of a project. Also run it during any security review of a repo. Runs fully offline — no API keys, no network, no credentials.
In this repository9 other files it gives its agents.
- bundle-weightSkill
- cors-auditorSkill
- deploy-log-doctorSkill
- dns-cutoverSkill
- env-driftSkill
- lockfile-doctorSkill
- migration-reversibilitySkill
- rollback-readinessSkill
- secret-preflightSkill
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 25
All paths below are relative to this skill's directory (ci-workflow-doctor/).
≈ “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
ci-workflow-doctor
Part of shipsafe — offline deploy-safety skills. Every script is stdlib-only Python 3.8+; nothing leaves the machine.
python3 scripts/lint_workflows.py <repo_root> [--json] # finds .github/workflows itselfChecks:
- PR_TARGET_WITH_CHECKOUT (critical) —
pull_request_target+ checkout of the PR head runs untrusted fork code WITH repo secrets. This is the classic GitHub Actions exfiltration pattern; fix immediately. - MUTABLE_ACTION_REF (high) — third-party actions pinned to tags/branches can be force-pushed by a compromised maintainer. Pin to a 40-char commit SHA. Official
actions/*are exempt. - MISSING_CONCURRENCY (high) — deploy jobs without a concurrency group let two pushes deploy in parallel; the OLDER build can finish last and win. The fix block to suggest is in the script output.
- SECRET_IN_RUN (high) —
${{ secrets.X }}interpolated into run: scripts leaks via shell tracing; pass via env: instead. - NO_TIMEOUT / UNPINNED_RUNNER (low) — hygiene for deploy reliability.
Implementation note: parsing is line-structured and heuristic (zero dependencies, runs anywhere) — on exotic YAML, verify a finding against the file before asserting it.
Exit codes: 0 clean, 1 findings.
All paths below are relative to this skill's directory (ci-workflow-doctor/).
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.

