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Screen an outside contributor's PR before it runs v1.0.0

Use this resource to screen an outside pull request before any of its code runs

New

  • 432 downloads
  • 247 likes
  • 121 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install screen-outside-contributor-pr

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 treats the diff and all the PR text as untrusted data, never as instructions. It looks for hidden, obfuscated or supply-chain-risky changes before anything runs.

Mostly picked by

Updated November 2, 2026

Card for the “Screen an outside contributor's PR before it runs” skill

Details

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

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What you get

  • SKILL.md: rules for handling untrusted content such as the diff and comments
  • SKILL.md: screening frame applied before any code runs

Good fit for

  • An outside contributor opens a PR on your repository
  • You must review a PR without running anything first

Not for

    Tags

    • security
    • pull request
    • contributor

    About

    You say

    “Screen this outside contributor's PR before I run the tests.”

    Card for the “Screen an outside contributor's PR before it runs” skill

    Skill published by different-ai 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 screen an outside pull request before any of its code runs
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.8 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md3.7 KB

    Origin and licence

    Listed unmodified

    Author
    different-ai
    Source
    github.com/different-ai/openwork/tree/707bb83bcb90b2dd8a27a5d6028a896d6f43ffaf/.warden/skills/contributor-screen
    Licence
    MIT

    Notice

    « contributor-screen » (different-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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