loop-detection
loop-detection is an Execution & autonomous loops skill for AI agents, published by Omar-Obando in the qwen-orchestrator repository on GitHub. Skillspace rates loop-detection B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Use when identifying and preventing infinite loops, detecting loop patterns, implementing loop exit strategies, and creating loop safety mechanisms. Includes loop analysis, timeout patterns, and loop monitoring. Based on programming best practices and loop safety patterns.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 36
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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