Data & Consulting
#research
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.
DeepseekModel
Curated skill
Quality Excellent · 90
v1.0.0
Get
https://deepseekmodel.com/api/download.php?id=wbh604-uzi-skill-skill-md&format=skill
Download .skill
Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
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: 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.
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The downloaded .skill package contains the following fields.
| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
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