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:
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.md before 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.
1---2name: uzi3description: 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.4license: MIT5---67# UZI Skill Root89This root file is the top-level entry for agents that expect a `SKILL.md` at the repository root.1011Use the narrowest matching workflow:1213- Full stock research, valuation, IC memo, initiation, catalysts, earnings review, or HTML report:14 read `skills/deep-analysis/SKILL.md`.15- Investor jury, "which investors would buy", panel-only voting, or persona review:16 read `skills/investor-panel/SKILL.md`.17- Hot-money, LHB, seat recognition, or A-share short-term trader analysis:18 read `skills/lhb-analyzer/SKILL.md`.19- Trap detection, pump-and-dump checks, "teacher/group/friend recommended this stock", or safety review:20 read `skills/trap-detector/SKILL.md`.21- Command-specific requests:22 read the matching file under `commands/`.2324## Default Execution2526From the repository root:2728```bash29python3 run.py <ticker> --no-browser30```3132For remote/mobile reports:3334```bash35python3 run.py <ticker> --remote36```3738For a single investor school, such as A-share hot-money:3940```bash41python3 run.py <ticker> --school F --no-browser42```4344## Agent Rules45461. Treat scripts as data and scoring tools, not as final analyst judgment.472. Do not invent numbers. Use script outputs, cached JSON, or current public evidence.483. For serious deep-analysis requests, complete the agent review loop described in `skills/deep-analysis/SKILL.md` before final report assembly.494. For hot-money analysis, apply LHB seat matching and `is_in_range()` before making a short-term judgment.505. For trap detection, scan all eight signals and include concrete evidence when risk is non-trivial.516. For report template or UI changes, update tests, version metadata, and release notes together.
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