Code Review Excellence
CheckedAutomates thorough, expert backend code reviews, identifying bugs, security flaws, and suggesting performance 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 rmyndharis/antigravity-skills --skill code-review-excellence -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
rmyndharis
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 rmyndharis/antigravity-skills at 3eff4af253.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3eff4af253
- Scanned
- 2 files, 523 lines
About this skill
What it does
This skill provides comprehensive code review feedback, identifying potential bugs, security vulnerabilities, and style inconsistencies. It analyzes code for adherence to best practices and offers suggestions for improvement, ultimately enhancing code quality and maintainability. The tool aims to automate many aspects of the code review process, freeing up human reviewers for more complex tasks.
When to use it
- Before merging pull requests: Ensure code meets established standards before integration into the main codebase.
- During onboarding new developers: Provide automated feedback on their contributions and accelerate learning.
- For identifying common coding errors: Catch recurring mistakes that might be missed in manual reviews.
- To improve overall code quality: Proactively identify areas for improvement across a project.
Key capabilities
- Bug detection
- Security vulnerability identification
- Style guide enforcement
- Best practices adherence checks
- Automated feedback generation
Example prompts
- "Review this Python code snippet for potential errors and security vulnerabilities: [code]"
- "Analyze this JavaScript function and suggest improvements based on best practices."
- "Check this Java class against our team's coding style guide."
Tips & gotchas
The skill is most effective when provided with well-formatted, complete code blocks. It may require some initial configuration to align with specific project coding standards.