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Script Evaluator

Checked
gonglingrui·vlatest·backend·MIT

This tool analyzes scripts for potential issues and suggests improvements, boosting code quality and reducing errors.

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 vangong1999/screen-creative-skills --skill script-evaluator -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

gonglingrui

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 gonglingrui/screen-creative-skills at 6ced54f40c.

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

Commit
6ced54f40c
Manifest
category/evaluation/script-evaluator/SKILL.md
Scanned
6 files, 1,176 lines
Copies in repo
2 — all of them scanned
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 allows an AI agent to execute and evaluate Python scripts provided as input. It can parse the script, run it in a sandboxed environment, and return the output or results of the execution. This enables agents to perform calculations, data manipulation, and other programmatic tasks directly within their workflow.

When to use it

  • Performing complex calculations: When you need an agent to calculate something beyond simple arithmetic, like financial modeling or statistical analysis.
  • Data transformation: Use it to manipulate structured data (e.g., lists, dictionaries) based on a set of rules defined in Python code.
  • Automated reporting: Generate reports by running scripts that pull data from various sources and format it into a desired output.
  • Simple simulations: Execute short simulation scripts to explore different scenarios or test hypotheses.

Key capabilities

  • Python script execution
  • Sandboxed environment for security
  • Output retrieval of script results

Example prompts

  • "Calculate the factorial of 10 using a Python script."
  • "Run this Python code: print(2 + 2) and tell me the result."
  • "Evaluate this script to determine the average of these numbers: [1, 2, 3, 4, 5]."

Tips & gotchas

The skill requires a basic understanding of Python syntax. Complex scripts or those requiring external libraries may not function correctly within the sandboxed environment.