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Sigma

Checked
sanyuan0704·vlatest·other·MIT

Sigma generates diverse, creative text formats – poems, code, scripts, musical pieces, email, letters, etc. – boosting content creation and sparking new ideas.

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 sanyuan0704/sanyuan-skills --skill sigma -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

sanyuan0704

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 sanyuan0704/code-review-expert at 08b6572ef1.

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

Commit
08b6572ef1
Manifest
skills/sigma/SKILL.md
Scanned
5 files, 1,119 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 empowers AI agents to act as a specialized code review expert, analyzing source code for quality, security vulnerabilities, and best practices. It provides actionable feedback to help developers improve their software engineering standards before deployment.

When to use it

  • Before merging pull requests in a team repository to catch potential bugs early.
  • When auditing legacy codebases to identify outdated patterns or security risks.
  • During the development phase to ensure new features adhere to established coding conventions.
  • For educational purposes to learn how to structure and write cleaner, more efficient code.

Key capabilities

  • Performs deep analysis of code logic and syntax.
  • Identifies common security vulnerabilities and anti-patterns.
  • Suggests specific improvements for readability and maintainability.
  • Enforces consistent coding standards across different modules.

Example prompts

  • "Review this Python function for potential race conditions and suggest fixes."
  • "Analyze the provided JavaScript code snippet for security vulnerabilities like XSS."
  • "Critique this React component for performance issues and propose optimization strategies."

Tips & gotchas

Ensure you provide complete, context-rich code snippets to allow the agent to give accurate and relevant feedback. While the skill offers expert-level insights, always verify critical security recommendations against your specific project dependencies and environment.