Linting
CheckedThis "Linting" skill automatically identifies and suggests fixes for code style issues, improving readability and preventing errors.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add jiatastic/open-python-skills --skill linting -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
jiatastic
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned jiatastic/open-python-skills at 41249c879c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 41249c879c
- Manifest
- skills/ruff-linter/SKILL.md
- Scanned
- 6 files, 2,146 lines
About this skill
What it does
This skill provides automated code review and style checking for Python projects. It identifies potential errors, stylistic inconsistencies, and deviations from established coding standards. The tool helps improve code quality, readability, and maintainability by enforcing best practices.
When to use it
- Before committing code: Ensure your changes adhere to project-specific or industry-standard linting rules.
- During code reviews: Quickly identify and address potential issues raised by the linter.
- For onboarding new developers: Enforce consistent coding style across a team.
- Automated CI/CD pipelines: Integrate linting into your build process to catch errors early.
Key capabilities
- Code style checking (PEP 8)
- Error detection
- Enforcement of coding standards
Example prompts
- "Lint this Python code: [paste code here]"
- "Check the style of this file for PEP 8 compliance: /path/to/my_file.py"
- "Run a linting check on my project."
Tips & gotchas
The skill requires access to the codebase being analyzed. Ensure the AI agent has appropriate permissions and context to effectively perform linting.