ci-wiring
Skill1 starsChanged 2 months agoMITView on GitHub
Wire the test suite into CI so it is fast, parallel, and produces readable evidence — job tiering, sharding, caching, artifacts, required checks, and flake reporting. Use when asked to set up CI for tests, speed up the pipeline, or make failures debuggable.
In this repository34 other files it gives its agents.
- a11y-auditSkill
- api-contract-testingSkill
- autonomous-explorationSkill
- bug-reproSkill
- chaos-resilienceSkill
- contract-testing-pactSkill
- coverage-ratchetSkill
- database-testingSkill
- e2e-authoringSkill
- environment-paritySkill
- exploratory-chartersSkill
- false-positive-hunterSkill
- flake-forensicsSkill
- i18n-l10n-testingSkill
- load-and-stressSkill
- mutation-proofSkill
- never-break-prodSkill
- payment-testingSkill
- perf-budgetSkill
- qa-triageSkill
- regression-curationSkill
- release-gateSkill
- responsive-mobile-testingSkill
- risk-mapSkill
- root-cause-protocolSkill
- security-regressionSkill
- smoke-and-sanitySkill
- state-machine-testingSkill
- test-data-managementSkill
- test-strategySkill
- tracking-testingSkill
- transactional-email-testingSkill
- unit-test-authoringSkill
- visual-regressionSkill
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 68
Secrets: never in logs; use masked repository 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
CI Wiring
A suite nobody can read the output of is a suite nobody will fix.
Job tiering (mirrors regression-curation)
name: qa
on: [push, pull_request]
jobs:
smoke: # < 90s, blocks everything
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with: { node-version: 20, cache: npm }
- run: npm ci
- run: npm run test:smoke
core: # < 8 min, sharded, required check
needs: smoke
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix: { shard: [1, 2, 3, 4] }
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with: { node-version: 20, cache: npm }
- run: npm ci
- name: Cache Playwright browsers
uses: actions/cache@v4
with:
path: ~/.cache/ms-playwright
key: pw-${{ runner.os }}-${{ hashFiles('package-lock.json') }}
- run: npx playwright install --with-deps chromium
- run: npx playwright test --shard=${{ matrix.shard }}/4
- if: always()
uses: actions/upload-artifact@v4
with:
name: report-shard-${{ matrix.shard }}
path: |
playwright-report/
test-results/
retention-days: 7fail-fast: false matters: with it enabled you see one shard's failure and lose the other three,
turning one CI run into four.
Non-negotiables
- Artifacts on failure: trace, screenshot, video, server logs. Debugging a CI failure without a trace costs more than the whole pipeline.
if: always()on upload steps — the artifact you need most is from the run that failed.- Required checks on the protected branch, and the list reviewed when jobs are renamed. A renamed job silently stops being required.
- Flake reporting: publish retried-but-passed tests to a dashboard or a comment. A flake that
passes on retry and is never counted is a flake nobody will ever fix (
flake-forensics). - Deterministic environment: pinned Node/Python, pinned browser version,
TZset explicitly (use a non-UTC one on at least one job — seei18n-l10n-testing),CI=true. - Secrets: never in logs; use masked repository secrets; a test environment token, never a production one.
Autonomous exploration in CI
The published action is the one-line form:
- uses: CaduS0uza/qa-supreme@v1
with:
url: http://localhost:3000
user: qa@example.com
password: ${{ secrets.QA_PASSWORD }}
fail-on: no-ship # or `never` while you build trustIt writes a stage table to the job summary, exposes verdict, clicks and states as outputs,
and uploads the evidence as an artifact. The manual form, if you want to control every step:
explore:
needs: smoke
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- run: npm ci && npx playwright install --with-deps chromium
- run: npm start & npx wait-on http://localhost:3000
- run: node runner/bin/qa-supreme.mjs run --url http://localhost:3000 --out .qa-supreme
- if: always()
uses: actions/upload-artifact@v4
with: { name: qa-supreme-report, path: .qa-supreme/ }Non-blocking at first: run it for a week, triage what it finds, then promote the stages you trust into required checks. A gate nobody trusts gets bypassed on day two.
Reporting
Publish a single comment per PR: stage table, verdict, links to artifacts. Twelve separate red checks is not a report, it is noise — and noise is how a red build becomes normal.
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.

