ralph-lisa-loop
ralph-lisa-loop is an Execution & autonomous loops skill for AI agents, published by basecamp in the house-skills repository on GitHub. Skillspace rates ralph-lisa-loop C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Automated plan-implement loop with expert review. Orchestrator dispatches subagents for planning/implementation and self-review, Codex for external review. The human steers. A single rope-length knob (0-5) controls interruption frequency. Subagent architecture keeps the orchestrator's context window lean for completing tasks in a single session. Use for any planning, development, or implementation task that benefits from structured review.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 73
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
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- 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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