risk-adjusted-return-optimizer
risk-adjusted-return-optimizer is an Investment analysis & markets skill for AI agents, published by Geeksfino in the finskills repository on GitHub. Skillspace rates risk-adjusted-return-optimizer C (75/100) and it passed the safety scan; the rating is based on static analysis only.
为中国投资者构建风险调整后收益最优的A股投资组合，根据资金规模、风险偏好和投资期限进行资产配置。当用户询问构建投资组合、资产配置、A股组合优化、仓位管理、再平衡策略，或要求根据特定金额和风险偏好提供组合构建建议时使用此技能。
- Grade
- C
- Quality
- 75 / 100
- Safety
- Passed
- GitHub stars
- 249
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- 89 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Apache-2.0
- 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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