loop-engineering
loop-engineering is an Execution & autonomous loops skill for AI agents, published by invincible04 in the awesome-loop-engineering repository on GitHub. Skillspace rates loop-engineering D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Design and scaffold an autonomous "loop" around a coding agent for a recurring workflow. Use when the user wants to stop hand-prompting an agent and instead build a system that discovers work, delegates it to a maker, verifies the result with a separate checker, remembers progress on disk, and re-runs until a goal is met or it stops for an honest reason. Triggers on "build a loop", "loop engineering", "automate this agent workflow", "design an agentic loop", "/goal", "/loop", "Ralph loop", "maker/checker", "run this overnight", "verifier rubric", or "loop contract". Works with Claude Code, Codex, Cursor, and OpenCode.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 44
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 78 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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