Skunky: Local-First Compartmentalized LLM Work
Hand bounded, sanitized work to untrusted LLM workers without exposing raw project files, identifiers, local paths, or secrets.
Hand bounded, sanitized work to untrusted LLM workers without exposing raw project files, identifiers, local paths, or secrets.
What this skill does
Skunky is a local-first compartmentalized LLM work system.
Use this skill when you want an operator-controlled workflow for giving an untrusted LLM worker a narrow, sanitized packet of work instead of handing over the full project, raw files, local paths, identifiers, or secrets.
Skunky is built around a simple rule:
Sanitized packets go out. Hostile artifacts come back. Every disclosure gets checked, logged, and budgeted.
It helps with:
- Creating bounded missions and compartments
- Sanitizing worker-visible packets
- Using packet-local, single-use disclosure handles
- Treating worker output as hostile until scanned
- Tracking cumulative disclosure through a local ledger
- Verifying local audit records before trusting a run
This listing is a workflow/operator skill for the open-source Skunky project:
https://github.com/Conalh/Skunky
Get Skunky: Local-First Compartmentalized LLM Work
Free to download — drops straight into .claude/skills/.