Code Review Analysis
CheckedHelps with code review, analysis as part of developing backend services and APIs workflows.
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 aj-geddes/useful-ai-prompts --skill code-review-analysis -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
aj-geddes
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 aj-geddes/useful-ai-prompts at 3f5182cfd7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3f5182cfd7
- Scanned
- 9 files, 292 lines
About this skill
What it does
The code-review-analysis skill enables AI agents to analyze and provide feedback on code changes, identifying potential bugs, performance issues, and style inconsistencies. It supports multiple programming languages and can generate actionable suggestions for improving code quality.
When to use it
- Before merging a pull request in a collaborative development environment
- To quickly assess the impact of proposed code changes
- During code refactoring or optimization efforts
- For teaching or mentoring purposes when reviewing someone else’s code
Key capabilities
- Detects common coding errors and logical flaws
- Suggests improvements for readability and maintainability
- Highlights potential performance bottlenecks
- Supports multiple programming languages including Python, JavaScript, Java, and C++
Example prompts
- "Review this Python function for possible bugs and suggest improvements."
- "Analyze the JavaScript code snippet for style consistency and best practices."
- "Check this Java class for memory leaks or performance issues."
Tips & gotchas
- Ensure that the code being reviewed is well-formatted and includes clear comments for accurate analysis.
- While the skill provides helpful suggestions, it should not replace human judgment in critical code reviews.