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Evaluation

Checked
mjunaidca·vlatest·other

This "Evaluation" skill assesses text for clarity, tone, and potential biases, helping refine content for better impact and accuracy.

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 mjunaidca/mjs-agent-skills --skill evaluation -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

mjunaidca

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 mjunaidca/mjs-agent-skills at b829650de9.

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

Scanned
4 files, 1,058 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 provides an evaluation capability, allowing AI agents to assess and provide feedback on various inputs. It can be used to analyze text, code, or other data formats based on specified criteria. The agent can then generate a structured report summarizing its findings and suggesting improvements.

When to use it

  • Code Review: Have the agent evaluate a piece of code for style, efficiency, and potential errors before submission.
  • Content Analysis: Get an AI-powered critique of written content like blog posts or marketing copy.
  • Design Feedback: Request feedback on design mockups or prototypes based on usability principles.
  • Performance Assessment: Evaluate the output of another agent to determine its effectiveness and identify areas for refinement.

Key capabilities

  • Evaluation of text, code, and other data formats.
  • Generation of structured reports with findings and suggestions.
  • Assessment based on specified criteria.

Example prompts

  • "Evaluate this Python code snippet for potential bugs and style issues: [code]"
  • "Can you assess this marketing copy for clarity and persuasiveness? [copy]"
  • "Provide feedback on this design mockup, focusing on user experience."

Tips & gotchas

The quality of the evaluation depends heavily on the specificity of the criteria provided. Clearly defining what aspects should be evaluated will yield more useful results.