Skip to main content

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.

ソース情報

リポジトリ
wbh604/UZI-Skill
ソースの最終更新活動
2026年9月5日 07:29
検出された SKILL.md の言語
英語
スター
7,246
フォーク
1,010

インストール方法

デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。

ソースファイルを確認

インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。

SKILL.md を表示中

SKILL.md
ソースの指示 · 読み取り専用プレビュー
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.
GitHubで見る