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Ai Evals

Checked
refoundai·vlatest·ai-ml·MIT

RefoundAI's ai-evals automatically assesses AI model outputs against defined criteria, providing objective performance insights.

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 refoundai/lenny-skills --skill ai-evals -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

refoundai

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 refoundai/lenny-skills at 13598cc54e.

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

Commit
13598cc54e
Manifest
skills/ai-evals/SKILL.md
Scanned
3 files, 1,276 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 a way to evaluate AI agent performance. It allows users to discover and install skills, although specific evaluation methodologies are not detailed in the provided source. The primary function is enabling access to these evaluation capabilities within an AI agent workflow.

When to use it

  • Measuring Agent Effectiveness: After implementing changes to your AI agent's logic or prompts, use this skill to quantify its impact on performance.
  • Comparing Different Approaches: Evaluate multiple prompt strategies or tool selections for a specific task and determine which yields the best results.
  • Identifying Areas for Improvement: Pinpoint weaknesses in an AI agent’s responses by leveraging evaluation metrics provided through the installed skills.
  • Benchmarking Performance: Track your AI agent's progress over time against established baselines or industry standards.

Key capabilities

  • Skill discovery and installation
  • AI agent performance evaluation
  • Access to various evaluation methodologies (specific methods not detailed)

Example prompts

  • "Install the ai-evals skill."
  • "Evaluate the last response from my AI agent using this skill."
  • "Show me the results of the recent evaluation."

Tips & gotchas

The source content does not provide specific prerequisites or limitations. It's important to consult additional documentation for the installed skills within this registry to understand their individual requirements and capabilities.