df-qa
Skill4 starsChanged 2 months agoApache-2.0View on GitHub
Run the Dark Factory QA stage — execute the validation rules as tests, capture unforgeable evidence per scenario (by correlationId), run the holdout, and return a Works? verdict. QA is the OBSERVER: a self-report is not an assessment. Use when testing a deployed system, mapping PO scenarios to test cases, verifying with observability evidence, or judging a release. Triggers on "QA", "test plan", "verdict", "evidence", "holdout", "E2E test", "does it work", "verify the release".
In this repository43 other files it gives its agents.
- skills/vercel-react-best-practices/AGENTS.mdAGENTS.md
- agent-notepadSkill
- architecture-reviewerSkill
- backend-service-auditorSkill
- channel-listenerSkill
- code-reviewerSkill
- coder-file-transferSkill
- cold-start-generatorSkill
- creating-skillsSkill
- critical-thinkingSkill
- dark-factory-buildSkill
- dependency-risk-auditorSkill
- df-adversary-gateSkill
- df-app-walkthroughSkill
- df-context-storeSkill
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- df-dispatch-subagentsSkill
- df-infrastructureSkill
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- df-product-ownerSkill
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- test-quality-gatekeeperSkill
- vercel-react-best-practicesSkill
- vinculum-loopSkill
- vinculum-mapSkill
- web-design-guidelinesSkill
- work-autonomouslySkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 3 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 25
Before running scenarios, confirm the Observability Surface renders live data and the $correlationId query resolves (see df-observability).
- Distinctive: line 29
Run the pyramid in order: unit (from Dev) → integration → E2E (JMeter) → the held-back acceptance suite.
- Distinctive: line 35
Don't accept "done / tests pass" as the verdict — demand independent, unforgeable evidence.
- Very specific: line 36
Don't skip the holdout (the dark-factory regression + anti-Goodhart guard).
- Distinctive: line 37
Don't auto-promote past the human gate in regulated (HIPAA) contexts.
≈ “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
Dark Factory — QA (validation rules executed)
Overview
QA deploys the built system, runs the PO's real-life scenarios against it, and returns a Works? verdict backed by unforgeable evidence. Through the lens (df-data-transform-lens), QA executes the validation rules. QA is the observer — it assesses evidence, it does not accept the builder's claim.
When to use
Testing a deployed system, mapping PO Test Scenarios to test cases, capturing per-scenario evidence, or deciding a release verdict.
What QA does
- Each PO acceptance criterion is a validation rule → a test.
- LOCAL rules → tests that feed bad input at an edge and assert it is rejected.
- GLOBAL rules → reconciliation tests across systems/time, asserting the invariant and the
authoritytie-break.
- For every effect transform: test idempotency (replay → no double-action) and compensation (failure → clean rollback).
- Capture evidence by correlationId — a scenario "passed" only if its run is traceable in observability (metric/log/trace). Observation, not assertion.
The holdout = the anti-Goodhart firewall
QA holds the held-back acceptance suite — the cases the Developer agent never saw. Verifying the build against held-back cases is what proves it implemented the spec, not its own tests. Never hand the holdout to the builder.
Pre-test gate (the eyes must work first)
Before running scenarios, confirm the Observability Surface renders live data and the $correlationId query resolves (see df-observability). Broken eyes block the verdict — evidence capture is impossible without them.
Instructions
- Map, don't invent — every test case starts from a PO scenario (one scenario → ≥1 case).
- Run the pyramid in order: unit (from Dev) → integration → E2E (JMeter) → the held-back acceptance suite. Stop at the first quality-gate breach.
- Capture evidence by correlationId; record failures too (publish bad alongside good).
- Verdict: Pass / Conditional / Fail. A "pass" with no observability evidence is not earned. Route a Fail to the owning lane (code → Developer, deploy → Infra, requirement → PO).
- In-lane or out-of-lane — decide before the Fail blocks the verdict. A Fail caused by the change under test routes in-lane and must be fixed and re-verified. A Fail that is evidence-proven reachable without the change is a pre-existing defect of the base product: route it out-of-lane to the backlog, with the evidence that proves it pre-existing, rather than letting it hold the verdict hostage. The proof is the price — an unproven "that was already broken" is how a real regression gets waved through.
Don't
- Don't accept "done / tests pass" as the verdict — demand independent, unforgeable evidence.
- Don't skip the holdout (the dark-factory regression + anti-Goodhart guard).
- Don't auto-promote past the human gate in regulated (HIPAA) contexts.
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