adversarial-review
adversarial-review is a Multi-agent review & consensus skill for AI agents, published by Miguok in the fable-harness repository on GitHub. Skillspace rates adversarial-review D (65/100) and it passed the safety scan; the rating is based on static analysis only.
多方抗辯——對重大結論/架構決策/bug根因判定/安全判斷，平行派出 skeptic、red-team、simplifier 三個反方子代理獨立審查，過半存活才採信。觸發詞：「抗辯」「adversarial review」「多方審查」「/adversarial-review」，或 FABLE-PROTOCOL 第 2 節規定的觸發時機（架構決策、根因判定、影響生產的結論）。不適用於：瑣碎修改、純問答。
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 189
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
- 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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