arbitration-methodology
arbitration-methodology is an Investment analysis & markets skill for AI agents, published by duolongworld in the AI_Renaissance repository on GitHub. Skillspace rates arbitration-methodology C (71/100) and it passed the safety scan; the rating is based on static analysis only.
开发2组仲裁方法论Skill。基于桥水经济机器模型的场景化专家权重体系，支持三种模式：(1)场景设计与权重配置迭代；(2)7专家Signal仲裁执行（含场景自动选择、评分制匹配、共识/分歧标注、贡献追踪）；(3)权重回测校准。当用户讨论仲裁权重、场景选择逻辑、match_signals规则、仓位公式设计、权重校准或标准化推理链时调用。
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 58
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- 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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