loops
loops is a Multi-stage workflow orchestration skill for AI agents, published by platypus45 in the domestique repository on GitHub. Skillspace rates loops D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Discipline for long-running / multi-wave / multi-day agent loops: separate planner/generator/evaluator roles, negotiate a testable contract first, keep state on disk, let the loop restart, score taste with a rubric, read the traces, and prune the harness. Invoke when orchestrating a big feature across many agent turns/waves, not for a single edit (use ponytail for that).
- Grade
- D
- Quality
- 65 / 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
- 95 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- 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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