Skip to content
TrustedSkillsbeta
Back to all skills

Agent Evaluation

Checked
sebas-aikon-intelligence·vlatest·agents·MIT

Evaluates AI agent performance across diverse tasks, providing detailed reports on efficiency, accuracy, and areas for improvement.

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 sebas-aikon-intelligence/antigravity-awesome-skills --skill agent-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

sebas-aikon-intelligence

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 sebas-aikon-intelligence/antigravity-awesome-skills at 0f4a1b2fd7.

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

Commit
0f4a1b2fd7
Manifest
skills/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, sebas-aikon-intelligence-agent-evaluation, provides a structured way to evaluate the performance of AI agents. It assesses agent behavior against predefined criteria and generates reports summarizing strengths and weaknesses. The evaluation process includes analyzing task completion rates, adherence to instructions, and overall efficiency.

When to use it

  • Debugging Agent Behavior: Identify why an agent isn't performing as expected in a specific scenario.
  • Comparing Different Agents: Objectively assess the relative effectiveness of multiple agents for the same task.
  • Improving Agent Training: Use evaluation data to refine training datasets and improve overall agent capabilities.
  • Monitoring Performance Drift: Track an agent’s performance over time to detect degradation or unexpected changes in behavior.

Key capabilities

  • Agent performance assessment
  • Task completion rate analysis
  • Instruction adherence evaluation
  • Efficiency measurement
  • Report generation

Example prompts

  • "Evaluate Agent X's performance on the 'customer service chatbot' task."
  • "Compare Agent A and Agent B’s ability to summarize news articles."
  • "Generate a report detailing Agent Y's adherence to safety guidelines during navigation tasks."

Tips & gotchas

The quality of the evaluation depends heavily on clearly defined criteria. Ensure you provide detailed instructions or benchmarks for the agent to follow when using this skill.