policy-flash-briefing
policy-flash-briefing is an Investment analysis & markets skill for AI agents, published by aliyun in the qwen-dianjin repository on GitHub. Skillspace rates policy-flash-briefing D (65/100) and it passed the safety scan; the rating is based on static analysis only.
证券策略研究员政策快评技能。当发生重大政策发布、突发监管消息、宏观数据超预期、盘中市场剧烈异动时触发。本技能自动抓取事件核心要素，进行即时解读，生成策略应对建议与受影响板块梳理，强调“预期差”与“交易指导”。
- 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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