Lint Hunter
CheckedLint Hunter automatically identifies and suggests improvements to your code for cleaner, more readable, and bug-free results.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
Lint Hunter, not the name it is listed under, so the command below uses that name.- 1
Run this in your project
terminal$ npx skills add udapy/rust-agentic-skills --skill "Lint Hunter" -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
udapy
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 udapy/rust-agentic-skills at 447eee0e23.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 447eee0e23
- Manifest
- skills/lint-hunter/SKILL.md
- Scanned
- 4 files, 75 lines
About this skill
What it does
The lint-hunter skill allows an AI agent to identify and report potential code quality issues within Rust projects. It analyzes source code using standard linting tools, providing feedback on style violations, common errors, and best practice adherence. This helps improve the overall maintainability and reliability of Rust applications.
When to use it
- Code Review Assistance: Use it when reviewing a new or modified Rust codebase to quickly identify potential problems.
- Automated Style Checks: Integrate it into a CI/CD pipeline for automated code style enforcement.
- Learning Best Practices: Employ it as a learning tool to understand and adopt recommended Rust coding practices.
- Project Onboarding: Quickly assess the quality of an existing Rust project during onboarding or takeover.
Key capabilities
- Rust code linting
- Style violation detection
- Error identification
- Best practice adherence checking
Example prompts
- "Analyze this Rust file for potential issues: [file path]"
- "Run the linter on my project and report any warnings."
- "Check this code snippet for style violations: [code snippet]"
Tips & gotchas
The skill requires a Rust development environment to be set up, including rustc and cargo. Ensure that these tools are available in the agent's execution environment for proper functionality.