Skip to content
TrustedSkillsbeta
Back to all skills

Agent Evaluation

Checked
jarmen423·vlatest·agents

Evaluates agent performance against defined metrics, providing actionable insights for improvement and optimization.

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 jarmen423/skills --skill agent-evaluation --full-depth -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

jarmen423

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 jarmen423/skills at d016f7d2c7.

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

Commit
d016f7d2c7
Manifest
downloaded-skills/ai-agents/agent-evaluation/SKILL.md
Scanned
1 file, 65 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 allows you to evaluate AI agents based on provided criteria. It can assess agent performance, identify areas for improvement, and generate reports summarizing findings. The evaluation process is customizable, allowing users to define specific metrics and scoring systems.

When to use it

  • Debugging Agent Behavior: Identify why an agent isn't performing as expected in a particular scenario.
  • Comparing Different Agents: Objectively assess the strengths and weaknesses of multiple agents for a given task.
  • Tracking Improvement Over Time: Monitor the progress of an agent after modifications or training updates.
  • Automated Testing Pipelines: Integrate into automated workflows to regularly evaluate agent quality.

Key capabilities

  • Customizable evaluation criteria
  • Performance assessment
  • Identification of areas for improvement
  • Report generation

Example prompts

  • "Evaluate this agent's response to the following prompt: 'Summarize the key findings in this research paper.'"
  • "Compare Agent A and Agent B on their ability to follow complex instructions."
  • "Generate a report detailing the agent’s performance across these criteria: accuracy, efficiency, and creativity."

Tips & gotchas

The skill's effectiveness depends heavily on clearly defined evaluation criteria. Ambiguous or poorly-defined metrics will lead to unreliable results.