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Skill Reviewer

Checked
daymade·vlatest·other·MIT

This Skill Reviewer analyzes your skills for clarity, completeness, and potential improvements, boosting their quality and effectiveness.

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 daymade/claude-code-skills --skill skill-reviewer -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

daymade

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 daymade/claude-code-skills at 1327636852.

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

Commit
1327636852
Manifest
daymade-skill/skill-reviewer/SKILL.md
Scanned
10 files, 2,297 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

skill-reviewer

What it does

This skill enables AI agents to critically evaluate code, documentation, and other artifacts against specific criteria or best practices. It acts as a quality gate, identifying errors, inconsistencies, or areas for improvement before work is finalized.

When to use it

  • Before committing code changes to ensure they meet project standards.
  • To validate generated documentation for accuracy and clarity.
  • During the review phase of a development workflow to catch edge cases.
  • When verifying that AI-generated outputs align with defined constraints.

Key capabilities

  • Performs critical evaluation of various content types including code and text.
  • Checks artifacts against user-defined criteria or established best practices.
  • Identifies specific errors, inconsistencies, and opportunities for enhancement.

Example prompts

  • "Review this Python script for potential security vulnerabilities and performance bottlenecks."
  • "Evaluate the following technical documentation for clarity and completeness based on our style guide."
  • "Critique this proposed feature implementation against the system's architectural constraints."

Tips & gotchas

Ensure you provide clear criteria or context about the specific standards the agent should apply during its review. The skill relies on the quality of the input artifacts; providing well-structured code or text yields more actionable feedback.