macro-asset-allocation
macro-asset-allocation is an Investment analysis & markets skill for AI agents, published by aliyun in the qwen-dianjin repository on GitHub. Skillspace rates macro-asset-allocation D (65/100) and it passed the safety scan; the rating is based on static analysis only.
宏观大类资产配置建议生成技能。当用户要求生成资产配置报告、大类资产配置建议、投资组合配置、股债商品配置策略时使用。包括"生成资产配置建议"、"当前适合配置什么资产"、"股债商品怎么配"、"宏观视角资产配置"、"投资组合配置建议"等表述。本技能结合最新宏观经济数据、政策预判、市场环境，运用美林时钟/宏观象限等分析框架，自动生成股票、债券、商品、外汇等大类资产配置建议，标注配置逻辑、权重建议与风险点，输出面向专业投资机构的 Markdown 格式资产配置报告。
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 612
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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