Borrowing it
Nothing to install: this file belongs to richardthe3rd/cambridge-beer-festival-app. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/richardthe3rd/cambridge-beer-festival-app/main/.claude/skills/validation-and-qa/SKILL.mdgit clone --depth 1 https://github.com/richardthe3rd/cambridge-beer-festival-appWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/richardthe3rd/cambridge-beer-festival-app/validation-and-qa)<a href="https://agentmods.dev/skills/richardthe3rd/cambridge-beer-festival-app/validation-and-qa"><img src="https://agentmods.dev/badge/skills/richardthe3rd/cambridge-beer-festival-app/validation-and-qa/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/richardthe3rd/cambridge-beer-festival-app/validation-and-qa"><img src="https://agentmods.dev/badge/skills/richardthe3rd/cambridge-beer-festival-app/validation-and-qa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00242 | $0.07378 |
| Opus 5 | $0.00121 | $0.03689 |
| Sonnet 5 | $0.00048 | $0.01476 |
| Haiku 4.5 | $0.00024 | $0.00738 |
Grade A, and why
validation-and-qa scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
const response = await worker.fetch(request, env, ctx); How it starts
The opening of the file, as written. The whole thing — 677 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Validation and QA
How to decide a change is actually correct in this repo, and how to write the test that proves it. Every skeleton below is copied from a real, currently passing test file — file:line citations let you go read the full context.
1. The evidence hierarchy
Ranked by how much it actually proves, strongest first. A change is not "tested" until it clears the layer appropriate to what changed — reaching for a weaker layer when a stronger one applies is the shallow-test failure mode in §2.
| Rank | Layer | Proves | Command |
|---|---|---|---|
| 1 | Unit / widget tests (test/, flutter_test) |
Actual logic and rendered behavior, in-process | ./bin/mise run test |
| 2 | Golden screenshots (test/goldens/) |
Pixel-level layout regressions | ./bin/mise run test, update via ./bin/mise run goldens:update |
| 3 | Worker vitest (cloudflare-worker/test/, workerd runtime) |
Real HTTP/D1 behavior of the API worker | ./bin/mise run test:worker |
| 4 | Playwright URL/ARIA smoke (test-e2e/) |
Routing mechanics and gross console errors on a deployed-shape build | MISE_ENV=dev ./bin/mise run test:e2e |
| 5 | Manual device testing | Real user experience | Human only — see below |
The Playwright hard limitation (read this before trusting an e2e pass)
Flutter web renders the entire UI to a single <canvas> element. Playwright
drives the DOM/accessibility tree, not the canvas pixels. This means Playwright
can never verify what the UI actually looks like or says — it can only
prove URL/routing mechanics, gross JS errors, and the ARIA/lang baseline
Flutter exposes around the canvas.
Concretely: a route can return HTTP 200 and Playwright can pass, while the
screen underneath is rendering a full-page error state. A 200 + "no critical
console errors" is not evidence the feature works — it is evidence the app
booted. This is codified in docs/adr/0005-e2e-testing-strategy.md, which also
records why the alternative (Patrol + Firebase Test Lab — native device E2E)
was evaluated and rejected: 4-5 week setup cost, Firebase Test Lab free-tier cap
of 15 tests/day, and Flutter widget tests already covering interaction flows.
Reconsider Patrol only if the triggers in that ADR fire (device-specific
concerns: permissions, system dialogs, push notifications).
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago Changed · +2 lines f8116638439a
- 12d ago First seen · 675 lines · 242 tokens per session scan A d216dbfc8357
validation-and-qa is a skill published in the GitHub repository richardthe3rd/cambridge-beer-festival-app (2 stars, last pushed yesterday), licensed MIT. It adds 242 tokens to every session and 7,378 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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