deep_analysis
Skill571 starsChanged 57 days agoApache-2.0View on GitHub
22 维度融合个股深度分析。生成包含基本面、技术面、资金面及投委会结论的综合报告。
1 other project uses a version of this.
Adopted by
Most recently taken up by
- blockcell-labs/blockcelltheir own version, first seen Oct 8, 2026
Other versions1 project uses a version of this.
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Wrote their own version · 1
- blockcell-labs/blockcell★ 262same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository7 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- investor_panelSkill
- lhb_analyzerSkill
- risk_profileSkill
- trap_detectorSkill
- uziSkill
The file
Files
UZI Deep Analysis (Adapted)
工作流 (已适配本系统)
- Step 1: 数据采集
- 调用
uzi_stock_deep_analysis获取个股 22 维度深度数据（含财务、治理、估值分位）。 - 调用
watchlist_stock_news获取近期重大事项。
- 调用
- Step 2: 逻辑加工
- 应用 UZI 180 条量化规则进行初筛。
- 分析财务造假风险与行业竞争力。
- Step 3: 报告组装
- 参照
references/report-template.md格式，输出包含「投资论点、风险点、估值区间」的最终报告。
- 参照
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