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.

소스 정보

저장소
wbh604/UZI-Skill
최근 소스 활동
2026년 10월 18일 02:56
감지된 SKILL.md 언어
영어
스타
7,490
포크
1,041

설치 방법

기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.

소스 파일 검토

설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.

SKILL.md 표시 중

SKILL.md
소스 지침 · 읽기 전용 미리보기
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`. - Daily market-event briefs, scheduled macro releases, central-bank speeches, or event-aware alerts: read [Official macro calendar verification](references/macro-calendar.md), alongside the relevant stock workflow when stock analysis is also requested. - 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.
GitHub에서 보기