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Agent results ranking v1.0.0

Use this resource to rank the results of several agents by a metric or an LLM judge

New

  • 371 downloads
  • 224 likes
  • 154 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install agent-results-ranking

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 /hub:eval command ranks the results of an AgentHub session: by a measurement command, by an LLM judge comparing the diffs, or both. You get a ranking and a winner to keep.

Mostly picked by

Updated November 2, 2026

Card for the “Agent results ranking” skill

Details

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

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What you get

  • SKILL.md: metric, LLM judge and hybrid modes
  • SKILL.md: steps after the evaluation

Good fit for

  • Several agents finished the same task
  • You want to pick the best result from a measurement

Not for

    Tags

    • evaluation
    • agents
    • ranking

    About

    You say

    “/hub:eval Rank the session's agents by p50 latency.”

    Card for the “Agent results ranking” skill

    Skill published by alirezarezvani 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 rank the results of several agents by a metric or an LLM judge
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.5 KB

    Origin and licence

    Listed unmodified

    Author
    alirezarezvani
    Source
    github.com/alirezarezvani/claude-skills/tree/5434623a788ec3105d238328cfe554e1e2242ff7/engineering/agenthub/skills/eval
    Licence
    MIT

    Notice

    « eval » (alirezarezvani, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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