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uzi

A-share, Hong Kong, and US stock analysis skill for deep research, quick scans, investor panel review, hot-money/LHB analysis, trap detection, valuation, IC memos, and Bloomberg-style HTML reports.

来源信息

仓库
wbh604/UZI-Skill
最近来源活动
2026年9月5日 07:29
检测到的 SKILL.md 语言
英语
星标
7,246
分支
1,010

安装方式

默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

检查来源文件

决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。

正在显示 SKILL.md

SKILL.md
来源说明 · 只读预览
name
uzi
description
A-share, Hong Kong, and US stock analysis skill for deep research, quick scans, investor panel review, hot-money/LHB analysis, trap detection, valuation, IC memos, and Bloomberg-style HTML reports.
version
3.9.4
author
FloatFu-true
license
MIT
metadata
{"tags":["finance","stocks","a-share","hong-kong","us-stocks","dcf","valuation","investor-panel","youzi","lhb","trap-detection"],"related_skills":["deep-analysis","investor-panel","lhb-analyzer","trap-detector"]}
# UZI Skill Root This root file is the top-level entry for agents that expect a `SKILL.md` at the repository root. Use the narrowest matching workflow: - Full stock research, valuation, IC memo, initiation, catalysts, earnings review, or HTML report: read `skills/deep-analysis/SKILL.md`. - Investor jury, "which investors would buy", panel-only voting, or persona review: read `skills/investor-panel/SKILL.md`. - Hot-money, LHB, seat recognition, or A-share short-term trader analysis: read `skills/lhb-analyzer/SKILL.md`. - Trap detection, pump-and-dump checks, "teacher/group/friend recommended this stock", or safety review: read `skills/trap-detector/SKILL.md`. - Command-specific requests: read the matching file under `commands/`. ## Default Execution From the repository root: ```bash python3 run.py <ticker> --no-browser ``` For remote/mobile reports: ```bash python3 run.py <ticker> --remote ``` For a single investor school, such as A-share hot-money: ```bash python3 run.py <ticker> --school F --no-browser ``` ## Agent Rules 1. Treat scripts as data and scoring tools, not as final analyst judgment. 2. Do not invent numbers. Use script outputs, cached JSON, or current public evidence. 3. For serious deep-analysis requests, complete the agent review loop described in `skills/deep-analysis/SKILL.md` before final report assembly. 4. For hot-money analysis, apply LHB seat matching and `is_in_range()` before making a short-term judgment. 5. For trap detection, scan all eight signals and include concrete evidence when risk is non-trivial. 6. For report template or UI changes, update tests, version metadata, and release notes together.
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