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Code Review Excellence

Checked
callstack·vlatest·backend·MIT

Analyzes backend code callstacks to identify performance bottlenecks, errors, and inefficient logic with expert precision.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it react-native-testing, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add callstack/react-native-testing-library --skill react-native-testing -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

callstack

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 callstack/react-native-testing-library at b87a246e68.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
4 files, 1,435 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill, "callstack-code-review-excellence," provides AI agents with the ability to perform thorough and insightful code reviews. It focuses on identifying potential bugs, suggesting improvements in code style and performance, and ensuring adherence to best practices within a codebase. The agent can analyze code for common errors and offer actionable feedback to developers.

When to use it

  • Before merging pull requests: Automatically review code changes before they are integrated into the main branch, catching issues early.
  • During onboarding of new team members: Provide automated feedback on contributions from less experienced developers.
  • For complex or critical code sections: Focus review efforts on areas with higher risk or impact.
  • To enforce coding standards: Ensure consistency and quality across the entire project.

Key capabilities

  • Bug detection
  • Code style suggestions
  • Performance improvement recommendations
  • Adherence to best practices enforcement

Example prompts

  • "Review this pull request: [link to pull request]"
  • "Analyze this code snippet for potential bugs and suggest improvements: [code snippet]"
  • "Check this file against our coding standards: [file path]"

Tips & gotchas

The quality of the review depends on having clear, well-defined coding standards documented elsewhere. Without established guidelines, the agent's suggestions may be less relevant or helpful.