Borrowing it
Nothing to install: this file belongs to leboncoin/spark-web. 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/leboncoin/spark-web/main/.cursor/skills/run-quality-checks/SKILL.mdgit clone --depth 1 https://github.com/leboncoin/spark-webWrote 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/leboncoin/spark-web/run-quality-checks)<a href="https://agentmods.dev/skills/leboncoin/spark-web/run-quality-checks"><img src="https://agentmods.dev/badge/skills/leboncoin/spark-web/run-quality-checks/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/leboncoin/spark-web/run-quality-checks"><img src="https://agentmods.dev/badge/skills/leboncoin/spark-web/run-quality-checks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00038 | $0.00397 |
| Opus 5.5 | $0.00015 | $0.00159 |
| Sonnet 5.5 | $0.00008 | $0.00079 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
run-quality-checks 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 1mo 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.
What it actually says
Run Quality Checks
Execute all code quality checks for the Spark UI project.
When to Use
- Before committing code
- When preparing a PR
- User wants to verify code quality
- User mentions "lint", "typecheck", or "quality"
Instructions
-
Linting:
npm run lintChecks code style and quality with Oxlint.
-
Type Checking:
npm run typecheckVerifies TypeScript types are correct.
-
Formatting:
npm run formatWrites formatted source with Oxfmt.
-
Formatting (check only):
npm run format:checkVerifies formatting without modifying files.
-
Lint and format:
npm run prettifyRuns lint, then applies Oxfmt.
-
Tests:
npm run test:runRuns all unit tests.
-
Test Coverage:
npm run test:coverageGenerates coverage report.
-
E2E Tests:
npm run test:e2eRuns end-to-end tests with Playwright.
-
Accessibility Tests:
npm run test:a11yRuns accessibility tests.
Complete Quality Pipeline
For a complete check before PR:
npm run lint && npm run format:check && npm run typecheck && npm run test:run && npm run test:a11y
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.
- 1mo ago First seen · 79 lines · 38 tokens per session scan A 4e63a70e4a82
run-quality-checks is a skill published in the GitHub repository leboncoin/spark-web (94 stars, last pushed 2d ago), licensed MIT. It adds 38 tokens to every session and 397 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-05.
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Use when defining a project's test approach, when choosing what gets tested at unit vs integration vs e2e level, when setting per-component coverage targets, when reviewing test quality, or when CI is slow / flaky and tests need a strategy reset.