open-loops-advance
open-loops-advance is an Experimentation & statistics skill for AI agents, published by real-simple-labs in the parker-brain repository on GitHub. Skillspace rates open-loops-advance C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Turn a promoted open loop into a hypothesis — a falsifiable prediction plus the few complementary pulls that together settle it, triangulated across the ad account, reviews, and competitors as the question needs and runnable with Parker's tools. Use when advancing a Tier-1 (or activated Tier-2) loop from the open-loops roll-up into the testing queue, or when the user says advance the open loops, form a hypothesis, or plan how to test a loop.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 31
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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