Code Review
CheckedAutomates backend code reviews, identifying potential bugs, performance issues, and style inconsistencies using groeimetai's AI expertise.
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 serac-labs/serac --skill code-review -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
groeimetai
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 groeimetai/snow-flow at af3ad2b3c0.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- af3ad2b3c0
- Scanned
- 1 file, 238 lines
About this skill
What it does
This skill enables AI agents to perform automated code reviews on backend projects, analyzing source files for quality and adherence to standards. It integrates directly with the Snow Flow environment to provide immediate feedback on code submissions.
When to use it
- Before merging pull requests to catch logical errors or style inconsistencies early.
- During development sprints to ensure new features align with existing architectural patterns.
- When onboarding new team members to enforce consistent coding conventions across the codebase.
- To validate security practices and dependency management in backend services.
Key capabilities
- Automated analysis of backend code files for structural integrity.
- Identification of potential bugs, performance bottlenecks, and security vulnerabilities.
- Enforcement of specific coding standards and style guides within Snow Flow projects.
- Generation of actionable feedback reports for developers to refine their work.
Example prompts
- "Review the latest changes in the user authentication module for security flaws."
- "Analyze this new API endpoint implementation for performance issues and suggest optimizations."
- "Check if the recent database migration script follows our team's best practices and naming conventions."
Tips & gotchas
Ensure your Snow Flow environment is properly configured with the necessary backend dependencies before initiating a review. For complex legacy codebases, consider breaking down large files into smaller chunks to get more focused feedback from the agent.