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Honest AI work self-evaluation v1.0.0

Use this resource to honestly evaluate the quality of work produced by an AI

New

  • 421 downloads
  • 113 likes
  • 124 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ai-work-self-evaluation

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 scores the work done on two separate axes: task ambition and execution quality. It also argues the opposite case and keeps scores across sessions to limit score inflation.

Mostly picked by

Updated November 2, 2026

Card for the “Honest AI work self-evaluation” skill

Details

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

Similar resources

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What you get

  • SKILL.md: two-axis scoring grid
  • SKILL.md: evaluation examples and anti-inflation rules

Good fit for

  • You are reviewing a task the AI just finished
  • You want a candid view on a bug fix

Not for

    Tags

    • evaluation
    • quality
    • review

    About

    You say

    “Evaluate honestly the work you just did on the login bug fix.”

    Card for the “Honest AI work self-evaluation” 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 honestly evaluate the quality of work produced by an AI
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md8.4 KB

    Origin and licence

    Listed unmodified

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

    Notice

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

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