iterative-loop
iterative-loop is an Execution & autonomous loops skill for AI agents, published by shynlee04 in the hivemind-plugin repository on GitHub. Skillspace rates iterative-loop D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Use when running iterative refinement loops with bounded iteration control, entry/exit criteria enforcement, max-iteration guards, and checkpoint-based recovery between cycles. Triggers on: "iterative loop", "loop until complete", "iteration control", "loop with max iterations", "multi-round refinement", "progressive improvement", "retry-with-correction", "repeat until condition", "loop with exit criteria", "loop termination", "bounded iteration", "iteration guard", "checkpoint recovery in loop", "rerun with fixes", "fix → verify → repeat", "loop until criteria met", "iteration budget". NOT for wave-based parallel execution (wave-execution), guardrail against premature completion claims (completion-detection), or multi-agent coordination patterns (multi-agent-coordination).
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 51
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
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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