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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.

Informações da origem

Repositório
wbh604/UZI-Skill
Última atividade na origem
5 de setembro de 2026 às 07:29
Idioma detectado do SKILL.md
inglês
Estrelas
7.246
Forks
1.010

Opções de instalação

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Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.

Exibindo SKILL.md

SKILL.md
Instruções da origem · Visualização somente leitura
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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