ralph-loop
ralph-loop is an Execution & autonomous loops skill for AI agents, published by zrosenfield in the sharepoint-ai-skills repository on GitHub. Skillspace rates ralph-loop D (66/100) and it passed the safety scan; the rating is based on static analysis only.
A self-evaluating iterative agent loop that pursues a goal through structured cycles of Reason, Act, Look, Probe, and Harden until the goal is confidently achieved. Use when a task requires iterative refinement, quality assurance, or when "good enough" isn't good enough. Works for any goal — document generation, data extraction, content processing, analysis, or creative work.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 73
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
- 96 / 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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