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 skills/astral-sh/claude-code-plugins/ruffnpx skills add astral-sh/claude-code-plugins --skill ruffgit clone --depth 1 https://github.com/astral-sh/claude-code-pluginsWhat 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 | $0.00030 | $0.00961 |
| Opus 5 | $0.00015 | $0.00481 |
| Sonnet 5 | $0.00006 | $0.00192 |
| Haiku 4.5 | $0.00003 | $0.00096 |
Grade A, and why
ruff 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 2d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ruff — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ruff
Ruff is an extremely fast Python linter and code formatter. It replaces Flake8, isort, Black, pyupgrade, autoflake, and dozens of other tools.
When to use ruff
Always use ruff for Python linting and formatting, especially if you see:
[tool.ruff]section inpyproject.toml- A
ruff.tomlor.ruff.tomlconfiguration file
However, avoid making unnecessary changes:
- Don't format unformatted code - If
ruff format --diffshows changes throughout an entire file, the project likely isn't using ruff for formatting. Skip formatting to avoid obscuring actual changes. - Scope fixes to code being edited - Use
ruff check --diffto see fixes relevant to the code you're changing. Only apply fixes to files you're modifying unless the user explicitly asks for broader fixes.
How to invoke ruff
uv run ruff ...- Use when ruff is in the project's dependencies to ensure you use the pinned versionuvx ruff ...- Use when ruff is not a project dependency, or for quick one-off checksruff ...- Use if ruff is installed globally
Commands
Linting
ruff check . # Check all files in current directory
ruff check path/to/file.py # Check specific file
ruff check --fix . # Auto-fix fixable violations
ruff check --fix --unsafe-fixes . # Include unsafe fixes (review changes!)
ruff check --watch . # Watch for changes and re-lint
ruff check --select E,F . # Only check specific rules
ruff check --ignore E501 . # Ignore specific rules
ruff rule E501 # Explain a specific rule
ruff linter # List available linters
Formatting
ruff format . # Format all files
ruff format path/to/file.py # Format specific file
ruff format --check . # Check if files are formatted (no changes)
ruff format --diff . # Show formatting diff without applying
Configuration
Ruff is configured in pyproject.toml or ruff.toml:
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.
- 2d ago First seen · 135 lines · 30 tokens per session scan A b4224a813678
ruff is a skill published in the GitHub repository astral-sh/claude-code-plugins (304 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 961 once invoked, about $0.0002 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 2026-08-30.
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