Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add cenconq25/claude-code-app-studio --skill smoke-checkgit clone --depth 1 https://github.com/cenconq25/claude-code-app-studioWrote 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/cenconq25/claude-code-app-studio/smoke-check)<a href="https://agentmods.dev/skills/cenconq25/claude-code-app-studio/smoke-check"><img src="https://agentmods.dev/badge/skills/cenconq25/claude-code-app-studio/smoke-check/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/cenconq25/claude-code-app-studio/smoke-check"><img src="https://agentmods.dev/badge/skills/cenconq25/claude-code-app-studio/smoke-check.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 | $0.00052 | $0.01508 |
| Opus 5 | $0.00026 | $0.00754 |
| Sonnet 5 | $0.00010 | $0.00302 |
| Haiku 4.5 | $0.00005 | $0.00151 |
Grade A, and why
smoke-check scanned grade A with 0 findings 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 6d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Smoke Check
A short, blocking gate that runs before manual QA invests time. If smoke fails, manual QA stops and the build goes back to engineering.
Phase 1: Confirm Build and Target
Parse --build (path to .ipa / .apk / app bundle) and --target (sim,
emulator, or attached device). If neither is given, infer:
- React Native: prompt to run
npx react-native run-iosorrun-android. - Flutter: prompt to run
flutter runagainst the target. - iOS native: locate the most recent build under
~/Library/Developer/Xcode/DerivedData. - Android native: locate the most recent
app-debug.apkunderapp/build/outputs/apk/.
Confirm with the user before launching anything.
Phase 2: Read the Smoke Spec
Read tests/smoke/critical-paths.md. This file is authored by /qa-plan
and lists the smoke flows for the current sprint.
If missing, fall back to the default smoke set:
- Cold start within the budgeted ms.
- App reaches a stable home/landing screen.
- Sign-in (or guest path) succeeds.
- Primary CTA on home reaches its destination without a crash.
- App backgrounds and foregrounds without state loss.
- Sign-out completes cleanly.
Surface the spec to the user and confirm scope.
Phase 3: Run the Automated Suite
Run the unit + integration test suite first. The smoke gate is "build is shippable for manual QA", so a red automated suite is automatic FAIL.
Per framework via Bash:
- React Native:
npx jest --silent --reporters=default --bail=false - Flutter:
flutter test --machine - iOS:
xcodebuild test -scheme [scheme] -destination 'platform=iOS Simulator,name=[device]' - Android:
./gradlew testDebugUnitTest connectedAndroidTest
Capture pass/fail counts and any failure output.
If the unit or integration suite fails, stop here with verdict FAIL and list the failing tests.
Phase 4: Run E2E Smoke Flows
For each smoke flow in the spec, run the corresponding automated flow:
- Maestro:
maestro test tests/smoke/.maestro/[flow].yaml - Detox:
detox test --configuration ios.sim.debug --testNamePattern smoke - XCUITest:
xcodebuild test -only-testing:UITests/SmokeUITests - Espresso:
./gradlew connectedAndroidTest -PtestFilter=SmokeTest
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.
- 6d ago First seen · 198 lines · 52 tokens per session scan A e7acef822fb9
smoke-check is a skill published in the GitHub repository cenconq25/claude-code-app-studio (40 stars, last pushed 4mo ago), licensed MIT. It adds 52 tokens to every session and 1,508 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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