Individual skill
loopy
Discover, find, compare, audit, repair, adapt, craft, run, debrief, save, and prepare repeatable AI-agent loops for publication. Use when a user asks to analyze code or coding threads for recurring work, find a published loop, interview them to turn a goal into a bounded loop, review a loop for weak checks or unsafe authority, execute a loop with an evidence receipt, learn from completed runs, save or reuse a project loop, or validate and submit a loop to Loop Library.
skills/loopy/SKILL.md
Source commit 75966cbd572a4185064971c9fe5e9c52e8f8456d
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Local scripts
- Last checked
- Nov 2, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 3,232
- Repository last updated
- Sep 11, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- agentic-workflows Repository topic
- ai-agents Repository topic
- automation Repository topic
- codex Repository topic
- prompt-engineering Repository topic
- engineering Derived category
- security Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 15,519 bytesSKILL.mdcore · 15,519 bytesSKILL.mdcore · 15,519 bytesSKILL.mdcore · 15,519 bytesSKILL.mdcore · 15,519 bytesSKILL.mdcore · 15,519 bytesSKILL.mdcore · 15,519 bytesagents/openai.yamlasset · 229 bytesreferences/audit.mddoc · 2,742 bytesreferences/debrief.mddoc · 1,792 bytesreferences/discover.mddoc · 3,872 bytesreferences/publish.mddoc · 3,249 bytesreferences/run.mddoc · 3,422 bytes
Read excerpt
# Loopy
Help the user discover loop opportunities in existing engineering work, reuse a
published Loop Library loop when one fits, audit or repair an existing loop,
craft a new one through a focused interview, run it with evidence, learn from
the result, or prepare it for Loop Library. Treat a loop as a feedback system
with terminal states, not as permission for endless autonomy.
## Route the request
Choose the smallest useful path:
- **Discover:** Analyze a codebase, coding-thread history, or both for repeated
work that can become a bounded loop.