Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Sign in
Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

A page, a video or an image online.

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

AI agent evaluation and benchmark register v1.0.0

Use this resource to keep a comparable register of AI agent evaluations

New

  • 432 downloads
  • 120 likes
  • 147 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ai-agent-benchmark-register

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent records each evaluation run with its dataset, rubric and model revision, then compares a candidate with a baseline under matched conditions. You get tracking of regressions and cost per task.

Mostly picked by

Updated November 2, 2026

Card for the “AI agent evaluation and benchmark register” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

Similar resources

View all

What you get

  • SKILL.md: register framework, fields, options and measurement procedure
  • SKILL.md: relations, examples, best practices and limits

Good fit for

  • You want to know whether a new model beats the old one on your tasks
  • A team tracks its coding agent's regressions from one version to the next

Not for

    Tags

    • evaluation
    • benchmark
    • agents
    • cost

    About

    You say

    “Record this evaluation of my agent on the fifty-task set and compare it with the previous version.”

    Card for the “AI agent evaluation and benchmark register” skill

    Skill published by Ranjeet2063 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to keep a comparable register of AI agent evaluations
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6.3 KB

    Origin and licence

    Listed unmodified

    Author
    Ranjeet2063
    Source
    github.com/sickn33/agentic-awesome-skills/tree/e9809578fd426a284af017c5db99f8eb6628e6ca/skills/ai-agent-evaluation-benchmarking
    Licence
    MIT

    Notice

    « ai-agent-evaluation-benchmarking » (Ranjeet2063, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.