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Auditing a repo's feedback loop maturity v1.0.0

Use this resource to assess the feedback loop maturity of a repository for AI-assisted work

New

  • 394 downloads
  • 165 likes
  • 183 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ai-dev-feedback-loop-audit

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 scans the repository, checks the signals expected at each maturity level, such as continuous integration, then assigns a level. Its report lists the signals found, the recommendations and how to level up.

Mostly picked by

Updated November 2, 2026

Card for the “Auditing a repo's feedback loop maturity” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: maturity levels and signals to check
  • SKILL.md: report format, recommendations and level-up path

Good fit for

  • You want to know whether your AI agents get real automatic feedback
  • You prepare a repo that agents will work on

Not for

    Tags

    • audit
    • continuous integration
    • tests
    • ai agents

    About

    You say

    “Audit this repo's feedback loop for AI-assisted development.”

    Card for the “Auditing a repo's feedback loop maturity” skill

    Skill published by zernie 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 assess the feedback loop maturity of a repository for AI-assisted work
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md3.6 KB

    Origin and licence

    Listed unmodified

    Author
    zernie
    Source
    github.com/zernie/vigiles/tree/3aa01f165c63f468df5f359d1862578354b3b937/.claude/skills/audit-feedback-loop
    Licence
    MIT

    Notice

    « audit-feedback-loop » (zernie, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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