Uzi
A-share, Hong Kong, and US stock analysis skill for deep research, quick scans...
Install
npx skills add wbh604/UZI-Skill --skill uzi -g -a claude-code -y- Repository
- wbh604/UZI-Skill7.5k
- Category
- Writing
- Updated
- 18d ago
- License
- MIT
- Context cost
- Lightabout 483 tokens
- Runs scripts
- No, instructions only
What it does
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.
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, 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:
python3 run.py <ticker> --no-browser
For remote/mobile reports:
python3 run.py <ticker> --remote
For a single investor school, such as A-share hot-money:
python3 run.py <ticker> --school F --no-browser
Agent Rules
- Treat scripts as data and scoring tools, not as final analyst judgment.
- Do not invent numbers. Use script outputs, cached JSON, or current public evidence.
- For serious deep-analysis requests, complete the agent review loop described in
skills/deep-analysis/SKILL.mdbefore final report assembly. - For hot-money analysis, apply LHB seat matching and
is_in_range()before making a short-term judgment. - For trap detection, scan all eight signals and include concrete evidence when risk is non-trivial.
- For report template or UI changes, update tests, version metadata, and release notes together.
