Review Clean Code
CheckedAnalyzes backend code for style inconsistencies, potential bugs, and areas needing refactoring, suggesting improvements.
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 heyvhuang/ship-faster --skill review-clean-code -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
heyvhuang
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 heyvhuang/ship-faster at 64047d24e0.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 64047d24e0
- Scanned
- 6 files, 1,330 lines
- Copies in repo
- 2 — all of them scanned
About this skill
The review-clean-code skill enables AI agents to analyze codebases and identify areas requiring refactoring to improve maintainability. It specifically detects issues like overly complex functions, missing documentation, and inconsistent naming conventions across your project.
When to use it
- Before merging a large pull request to ensure new logic adheres to established style guides.
- During a codebase migration to spot legacy patterns that hinder modernization efforts.
- When onboarding new developers to quickly highlight areas needing clarity or simplification.
- As part of a CI/CD pipeline to automatically flag technical debt before deployment.
Key capabilities
- Identifies complex logic blocks and suggests breaking them into smaller functions.
- Detects missing comments, docstrings, or inline explanations for non-obvious code.
- Flags inconsistent variable naming, formatting errors, and redundant imports.
- Highlights potential security vulnerabilities related to poor coding practices.
Example prompts
- "Review the
auth-servicemodule and list three specific areas where the code could be simplified." - "Analyze my recent changes in the
payment-handlerfile for missing documentation or unclear variable names." - "Scan the entire project for functions exceeding 50 lines of code and suggest refactoring strategies."
Tips & gotchas
This skill focuses on readability and structure rather than functional correctness; ensure your agent tests logic separately. For best results, provide context about your team's specific style guide or coding standards alongside the request.