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Github actions

Skill SkillMedev/skills/skills/github-actions

The open Skill Me catalog — every hosted skill as a portable, MIT-licensed SKILL.md

Install
npx -y skills add SkillMedev/skills --skill github-actions

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Designs and hardens GitHub Actions CI/CD - pipelines that hit a sub-10-minute PR feedback budget through caching and parallelism, with least-privilege security and safe deploy gates. Use when someone asks "why is my CI so slow", "how do I cache node_modules properly", "set up a deploy workflow", "is pull_request_target safe here", or wants a workflow written or reviewed. Do NOT use for provisioning the cloud infrastructure the pipeline deploys to - use terraform-expert instead; do NOT use for Vercel-specific deploy flows - use vercel-deploy-pipeline instead; for secret storage policy beyond CI, use secrets-hygiene.

SKILL.md

7.3 KB, as published. Nobody here has run it

GitHub Actions

CI that takes 25 minutes gets ignored, and a workflow with a write-token running untrusted code gets owned. This skill builds pipelines against two hard constraints at once - a speed budget developers will actually wait for, and a security posture that assumes PR authors are hostile - because retrofitting either into a sprawling workflow file is far more painful than starting right.

Operating procedure

Step 1: Gather inputs

  • Stack and package manager (locks the caching strategy).
  • Current wall-clock time of the slowest required check, and the test-suite runtime.
  • Monorepo or single package; deploy targets and who may approve prod.
  • Any use of forked PRs or pull_request_target today (security review trigger).

Step 2: Set the budgets

  • PR feedback (all required checks) under 10 minutes wall-clock; under 5 is the mark of a healthy repo. Anything over 15 minutes changes developer behavior - people batch commits and stop running CI-first.
  • No single job over 10 minutes; split or parallelize past that.
  • Dependency-install step under 60 seconds on a warm cache; if npm ci runs 3+ minutes every build, caching is broken.
  • Cache hit rate above 90% on PR builds. Check the cache step's output over a week of runs; a low rate means the key is too specific or the cache is thrashing the 10GB-per-repo eviction limit.

Step 3: Structure jobs for parallelism

  • Run independent jobs (lint, typecheck, unit, build) in parallel; use needs only for real data dependencies, not for tidiness - every unnecessary needs serializes the graph.
  • Shard test suites over ~5 minutes across matrix jobs.
  • Use concurrency groups to cancel superseded runs on the same branch.
  • Monorepo: trigger by changed paths (path filters or affected-detection like Turborepo/Nx) so a docs change does not run the mobile build.

Step 4: Caching

  • Use the built-in cache in setup-node/setup-python for dependencies - the biggest, easiest win.
  • For custom caches, key on the lockfile hash with a restore-keys prefix fallback, so a lockfile change still restores the nearest cache instead of starting cold: key os-node-${{ hashFiles('**/package-lock.json') }}, restore-key os-node-.
  • Cache build outputs (Turborepo/Nx remote cache) to skip unchanged work entirely.
  • Never cache things that are faster to recreate than to download (small artifacts), and never cache secrets or credentials into a cache readable by PR builds.

Step 5: Security hardening

  • Pin third-party actions to a full commit SHA, not a mutable tag - tags can be moved to malicious code.
  • Set least-privilege permissions: at the workflow level (default contents: read) and widen per-job only where needed.
  • Never echo secrets; pass via the secrets context, not interpolated into run args where they hit logs and shell history.
  • Treat pull_request_target as loaded: it runs with a write token against untrusted fork code. Never check out and execute the PR's code under it; if you must, split into an unprivileged pull_request job plus a privileged job that consumes only validated artifacts.
  • Forked PRs get no secrets - design required checks to pass without them.

Step 6: Deploys

  • Gate prod behind environments with required reviewers and protection rules.
  • Use OIDC to assume short-lived cloud roles instead of long-lived cloud keys stored as secrets.
  • Gate deploys on green tests via needs; never deploy from a workflow that skipped checks.

Step 7: Keep it maintainable

  • Extract repetition into reusable workflows and composite actions once the same steps appear a third time.
  • Fail loudly: no || true, no continue-on-error on required checks.
  • Quarantine flaky tests to a non-blocking job and fix them; do not blanket-retry the suite to green.

Worked artifact: workflow skeleton

Copy, replace the [FILL] fields, delete jobs you do not need.

name: CI
on:
  pull_request:
  push: { branches: [main] }

permissions:
  contents: read

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  test:
    runs-on: ubuntu-latest
    timeout-minutes: 10          # hard stop; budget is well under this
    steps:
      - uses: actions/checkout@[FILL: full commit SHA]
      - uses: actions/setup-node@[FILL: full commit SHA]
        with: { node-version: [FILL], cache: 'npm' }
      - run: npm ci
      - run: npm test -- --shard=${{ matrix.shard }}/[FILL: total shards]
    strategy:
      fail-fast: false
      matrix:
        shard: [FILL: e.g. 1, 2, 3]

  lint:
    runs-on: ubuntu-latest
    timeout-minutes: 5
    steps:
      - uses: actions/checkout@[FILL: full commit SHA]
      - uses: actions/setup-node@[FILL: full commit SHA]
        with: { node-version: [FILL], cache: 'npm' }
      - run: npm ci
      - run: npm run lint && npm run typecheck

  deploy:
    if: github.ref == 'refs/heads/main'
    needs: [test, lint]
    runs-on: ubuntu-latest
    environment: production        # required reviewers configured in repo settings
    permissions:
      contents: read
      id-token: write              # OIDC - no long-lived cloud keys
    steps:
      - uses: actions/checkout@[FILL: full commit SHA]
      - uses: [FILL: cloud OIDC auth action]@[FILL: full commit SHA]
        with: { role-to-assume: [FILL] }
      - run: [FILL: deploy command]

Matrix testing across versions/OS follows the same pattern - matrix: { node: [FILL versions], os: [ubuntu-latest, macos-latest] } with fail-fast: false when every combination should report.

Deliverable

Produce the workflow file(s) plus a one-page pipeline report: measured PR feedback time vs the 10-minute budget, cache hit rate, the job dependency graph, and a security checklist result (SHA pinning, permissions, pull_request_target audit, OIDC).

Do NOT

  • Do not pin actions to @v4-style tags in anything with secrets or write permissions - pin the SHA.
  • Do not run untrusted PR code under pull_request_target or with elevated permissions.
  • Do not serialize jobs with needs for readability; each false dependency adds minutes.
  • Do not blanket-retry flaky tests - a retried-green suite hides real races.
  • Do not store long-lived cloud keys when OIDC is available.
  • Do not let a job run unbounded - always set timeout-minutes, or a hung job burns 6 hours of runner time.

Quality bar

  • PR feedback under 10 minutes; every job has a timeout; cache hit rate above 90%.
  • Every third-party action SHA-pinned; workflow-level permissions read-only; secrets never appear in logs.
  • Prod deploys gated by environment protection and green checks, authenticated via OIDC.
  • Forked-PR runs pass without secrets; monorepo paths filter correctly; superseded runs auto-cancel.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.