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Review Script

Checked
braselog·vlatest·agents

Analyzes scripts for clarity, consistency, and potential audience engagement using advanced language models.

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 braselog/researchassistant --skill review-script -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

braselog

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 braselog/researchassistant at 6e1e60a1d7.

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

Commit
6e1e60a1d7
Manifest
.github/skills/review-script/SKILL.md
Scanned
1 file, 19 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 review-script skill allows AI agents to analyze and provide feedback on existing scripts. It can identify potential errors, suggest improvements for efficiency or readability, and ensure adherence to coding standards. This capability helps streamline development workflows and improve the quality of codebases.

When to use it

  • Code Review: Have the agent review a script before merging it into a larger project to catch bugs early.
  • Refactoring Assistance: Ask the agent to suggest improvements for an existing, but inefficient, script.
  • Standardization Check: Ensure scripts adhere to specific coding style guidelines or best practices within your team.
  • Learning Tool: Use the skill to understand why certain changes are suggested and improve your own scripting skills.

Key capabilities

  • Error identification
  • Efficiency suggestions
  • Readability improvements
  • Coding standard adherence checks

Example prompts

  • "Review this Python script for potential errors: [script content]"
  • "Suggest ways to make this Bash script more efficient: [script content]"
  • "Check this JavaScript code against the Google style guide: [script content]"

Tips & gotchas

The quality of feedback depends heavily on the clarity and completeness of the provided script. Providing context about the intended purpose of the script can also improve the accuracy of suggestions.