meta-loop
meta-loop is a Workflow routing & gates skill for AI agents, published by liqiongyu in the my-agents repository on GitHub. Skillspace rates meta-loop D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Judge whether any iterative loop is well-designed — a verification loop, review loop, maker/checker loop, evaluator-optimizer, or agent self-improvement loop — or design a new one from scratch. Provides a 10-dimension quality rubric (Mode A) and a 9-step build guide (Mode B) grounded in TDD, Reflexion, LLM-as-judge, process-supervision, and agentic-workflow research. Use when asked "is this loop good enough", "review/critique this loop", "design a loop to catch X", "what should a verification loop cover", or whenever you are designing, modifying, or evaluating the mechanics of a produce → check → fix → re-check cycle — even if the word "loop" is never said. Do NOT use for executing an existing concrete loop (run that loop itself), one-shot scripts, or plain Q&A.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 28
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
- 81 / 100
- Maturity
- Structured: ships references or scripts
- 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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