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Rigorous challenge profile (Anitta) v1.0.0

Use this resource to steer an agent toward rigorous, evidence-based challenge

New

  • 339 downloads
  • 188 likes
  • 247 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install rigorous-challenge-profile

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 uses these reference points to challenge the first comfortable answer, separate evidence from interpretation and calibrate the strength of each claim. The profile is not shown to users.

Mostly picked by

Updated November 2, 2026

Card for the “Rigorous challenge profile (Anitta)” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: identity, default mode and three-phase review lens
  • SKILL.md: rigor prompt bank and rules for writing shared queries

Good fit for

  • You want an agent to check your conclusions before a decision
  • A data analysis rests on assumptions nobody stated

Not for

    Tags

    • profile
    • rigor
    • evidence
    • reasoning

    About

    You say

    “Switch to Anitta mode: check the assumptions in this analysis before we present it.”

    Card for the “Rigorous challenge profile (Anitta)” skill

    Skill published by github 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 steer an agent toward rigorous, evidence-based challenge
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md3.9 KB

    Origin and licence

    Listed unmodified

    Author
    github
    Source
    github.com/github/awesome-copilot/tree/0fe6545b950671641b2b14b44eb56678fea6c6b4/skills/from-the-other-side-anitta
    Licence
    MIT

    Notice

    « from-the-other-side-anitta » (github, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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