qa_review_triple-model
qa_review_triple-model is a Multi-agent review & consensus skill for AI agents, published by gpt-cmdr in the ras-commander repository on GitHub. Skillspace rates qa_review_triple-model D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Legacy Claude-only provider-mixed review workflow using Opus, Gemini, Codex, and Kimi K2.5. Each reviewer writes findings to separate markdown files, then orchestrator synthesizes. Use only when the user explicitly requests triple review, quad review, multi-model review, Gemini, or Kimi. Do not trigger for generic QAQC, quality assurance, security review, bug investigation, or critical review requests. Triggers: triple review, quad review, four model review, multi-model analysis, provider-mixed review, kimi review, gemini review, togetherai review
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 69
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
- 76 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.