research-loops
research-loops is a Multi-stage workflow orchestration skill for AI agents, published by real-simple-labs in the parker-brain repository on GitHub. Skillspace rates research-loops D (65/100) and it passed the safety scan; the rating is based on static analysis only.
The weekly research cycle — runs the open-loops pipeline end to end so the brand's strategic questions actually get answered instead of piling up. Rolls up and grades the open loops, advances the promoted ones into hypotheses, runs the validations in the testing queue, runs due re-validations, reports what was learned, and then aligns the standing docs with the confirmed findings so the brain never says the old thing after the research says otherwise. Use weekly as a scheduled routine, or when asked to run the research, advance the loops, work the testing queue, or "what have we learned".
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 31
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- 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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