Clippy Lints
CheckedClippy Lints analyzes your text for common writing issues and suggests improvements to enhance clarity and style – a helpful tool for polished prose.
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 thebushidocollective/han --skill clippy-lints -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
thebushidocollective
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 thebushidocollective/han at 19caa51d5f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 19caa51d5f
- Scanned
- 1 file, 472 lines
About this skill
What it does
This skill provides access to Clippy lints, a suite of code analysis tools. It helps identify potential errors and style issues in Python code. The tool can be used to improve code quality, enforce coding standards, and catch bugs early in the development process.
When to use it
- Reviewing Python code for stylistic inconsistencies before submitting a pull request.
- Automating code quality checks as part of a continuous integration pipeline.
- Identifying potential errors or inefficiencies within existing Python scripts.
- Ensuring adherence to specific coding guidelines within a team project.
Key capabilities
- Python linting
- Code analysis
- Style checking
- Error detection
Example prompts
- "Analyze this Python code for style issues: [code snippet]"
- "Run Clippy lints on my project's main.py file."
- "Check this function for potential errors and suggest improvements: [function definition]"
Tips & gotchas
This skill requires a working Python environment to operate effectively. The specific linting rules applied may be configurable, so familiarize yourself with the available options to tailor the analysis to your project's needs.