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 agentmods add rules/danielvm-git/bigpowers/smoke-testgit clone --depth 1 https://github.com/danielvm-git/bigpowersWrote 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/rules/danielvm-git/bigpowers/smoke-test)<a href="https://agentmods.dev/rules/danielvm-git/bigpowers/smoke-test"><img src="https://agentmods.dev/badge/rules/danielvm-git/bigpowers/smoke-test.svg" alt="Measured on agentmods" 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 | $0.00034 | $0.02010 |
| Opus 5 | $0.00017 | $0.01005 |
| Sonnet 5 | $0.00007 | $0.00402 |
| Haiku 4.5 | $0.00003 | $0.00201 |
Grade A, and why
smoke-test 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 today.
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.
The runner performs curl requests per check, records pass/fail per assertion, and prints a summary. How it starts
The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Smoke Test
HARD GATE — Do NOT run smoke-test against a URL that hasn't been deployed yet. Always run
deployfirst, thensmoke-test.HARD GATE — A failed smoke test means the deployment is broken. Do NOT mark a deploy as successful until all smoke checks pass.
Validate a deployed application is healthy by running HTTP checks against live URLs. Each check asserts HTTP status, optional body signal (regex), and optional response-time threshold.
Configuration
Smoke checks live in smoke-checks.yaml at the project root:
base_url: "https://example.com"
checks:
- name: "Homepage"
path: "/"
expected_status: 200
content_signal: "welcome|ok"
max_response_time_ms: 3000
| Field | Required | Default | Description |
|---|---|---|---|
name |
Yes | — | Human-readable check name |
path |
Yes | / |
URL path relative to base_url |
method |
No | GET |
HTTP method |
expected_status |
No | 200 |
Expected HTTP status code |
content_signal |
No | — | Regex or string in response body |
max_response_time_ms |
No | — | Fail if slower than threshold (ms) |
Ad-hoc single-URL mode: DEPLOY_URL=https://host bash scripts/run-smoke.sh
Process
1. Load checks
SMOKE_CHECKS_FILE="${SMOKE_CHECKS_FILE:-smoke-checks.yaml}"
BASE_URL="${DEPLOY_URL:-$BASE_URL}"
test -f "$SMOKE_CHECKS_FILE" || test -n "$BASE_URL" || { echo "ERROR: no checks file or URL"; exit 1; }
2. Run each check
bash scripts/run-smoke.sh "${DEPLOY_URL:-}" "${SMOKE_CHECKS_FILE:-smoke-checks.yaml}"
The runner performs curl requests per check, records pass/fail per assertion, and prints a summary.
3. Assert results
- Any HTTP status mismatch → FAIL
- Missing
content_signalwhen configured → FAIL - Response time over
max_response_time_ms→ FAIL - Exit code non-zero → deployment not healthy
4. Generate report
Capture stdout from run-smoke.sh as evidence. Persist to specs/verifications/smoke-<date>.log for release-branch.
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.
- today First seen · 261 lines · 34 tokens per session scan A 9969e60216a1
smoke-test is a cursor rule published in the GitHub repository danielvm-git/bigpowers (163 stars, last pushed 3d ago), licensed MIT. It adds 34 tokens to every session and 2,010 once invoked, about $0.0002 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 2026-09-03.
Other cursor rules, from other repositories
tests-documentation-maintenance
Require tests for new functionality and enforce documentation updates.
maestro-device-selection
Maestro tests can run on either iPhone or iPad simulators based on tags in the test YAML files. This allows you to test iPad-specific UI layouts and features while maintaining a single test suite.
xiigen-user-journey-testing
Validate work through a realistic user path. Use for UX, tool workflows, onboarding, and generated instructions.
unity-performance
Cursor rule "unity-performance" from Common-ka/ai-agent-unity-rules, covering unity performance rules, update/fixedupdate/lateupdate, usage rules, object pooling (unityengine.pool) and addressables (not resources).
swift
Swift patterns: SwiftUI, actors, async/await, value types.
build-optimization
Webpack/Vite configuration and build process optimization.