Skip to content
TrustedSkillsbeta
Back to all skills

Code Review

Checked
sammcj·vlatest·backend·Apache-2.0

Automates Python/Django backend code reviews, identifying potential bugs, style issues, and security vulnerabilities.

Repository

Install on your platform

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

  1. 1

    Run this in your project

    terminal
    $ npx skills add sammcj/agentic-coding --skill code-review -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

sammcj

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 sammcj/agentic-coding at b3333f90b6.

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

Commit
b3333f90b6
Manifest
Skills/code-review/SKILL.md
Scanned
1 file, 90 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

The sammcj-code-review skill provides automated feedback on code submissions, identifying potential bugs, style issues, and areas for improvement. It analyzes the provided code against established coding standards and best practices to ensure quality and maintainability. This skill aims to accelerate the development process by reducing manual review effort and improving overall code quality.

When to use it

  • Before submitting a pull request: Get an initial assessment of your changes before seeking human feedback.
  • For onboarding new developers: Ensure adherence to project coding standards from the start.
  • To identify common errors: Catch recurring mistakes and improve overall code consistency.
  • During refactoring efforts: Validate that changes maintain quality and don't introduce regressions.

Key capabilities

  • Automated bug detection
  • Style guide enforcement
  • Code complexity analysis
  • Adherence to best practices

Example prompts

  • "Review this Python code for potential errors and style issues: [paste code here]"
  • "Can you check this JavaScript function against the project's coding standards? [paste code here]"
  • "Analyze this Go file and suggest improvements for readability and performance. [paste code here]"

Tips & gotchas

The skill’s effectiveness depends on having clear, well-defined coding standards or best practices available to it. Providing context about the project's specific requirements will improve the quality of feedback.