Borrowing it
Nothing to install: this file belongs to matteocervelli/llms. 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/matteocervelli/llms/main/.claude/skills/quality-check/SKILL.mdgit clone --depth 1 https://github.com/matteocervelli/llmsWrote 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/matteocervelli/llms/quality-check)<a href="https://agentmods.dev/skills/matteocervelli/llms/quality-check"><img src="https://agentmods.dev/badge/skills/matteocervelli/llms/quality-check.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 5.1 | $0.00070 | $0.01096 |
| Opus 5 | $0.00035 | $0.00548 |
| Sonnet 5 | $0.00014 | $0.00219 |
| Haiku 4.5 | $0.00007 | $0.00110 |
Grade A, and why
quality-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 3d 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quality Check Skill
Purpose
Unified code quality validation across Python, JavaScript/TypeScript, Shell, and SQL. Runs formatting checks, linting, type checking, and complexity analysis.
Quick Start
# Auto-detect language and run appropriate checks
/quality-check [path]
Language Detection
The skill auto-detects language based on file extensions:
.py-> Python tools.js,.ts,.tsx,.jsx-> JavaScript/TypeScript tools.sh,.bash-> Shell tools.sql-> SQL validation
Tool Matrix
| Language | Formatter | Linter | Type Check | Complexity |
|---|---|---|---|---|
| Python | ruff format | ruff check | mypy | radon cc |
| JS/TS | prettier | eslint | tsc | eslint complexity |
| Shell | shfmt | shellcheck | - | - |
| SQL | - | sqlfluff | - | - |
| Swift | - | swiftlint | swift build | - |
| Go | gofmt | golint | go vet | - |
| Rust | rustfmt | clippy | - | - |
Commands by Language
Python
# Format check (replaces black + isort)
ruff format --check src/ tests/
# Lint
ruff check src/ tests/
# Type check
mypy src/
# Complexity (functions with cc > 10)
radon cc src/ -nc
JavaScript/TypeScript
# Format check
npx prettier --check "src/**/*.{ts,tsx,js,jsx}"
# Lint
npx eslint "src/**/*.{ts,tsx}"
# Type check
npx tsc --noEmit
# Dependency audit
npm audit --production
Shell
# Lint
shellcheck scripts/*.sh
# Format check (if shfmt installed)
shfmt -d scripts/*.sh
SQL
# Lint (if sqlfluff installed)
sqlfluff lint queries/
Swift
# Lint
swiftlint
# Build check (type checking)
swift build
Go
# Format check
gofmt -d .
# Lint
golint ./...
# Vet (static analysis)
go vet ./...
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.
- 3d ago First seen · 211 lines · 70 tokens per session scan A 3a91657c7448
quality-check is a skill published in the GitHub repository matteocervelli/llms (25 stars, last pushed 3mo ago), licensed MIT. It adds 70 tokens to every session and 1,096 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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