Agent Skills › wbh604/UZI-Skill › uzi

uzi

GitHub

面向A股、港股及美股的深度金融分析技能，涵盖研报生成、估值、资金流向追踪、陷阱检测及投资者画像等场景。

SKILL.md wbh604/UZI-Skill

Trigger Scenarios

股票深度研究与估值报告生成龙虎榜与游资资金流向分析杀猪盘或操纵市场陷阱检测模拟投资者陪审团投票评估

Install

npx skills add wbh604/UZI-Skill --skill uzi -g -y

More Options

Use without installing

npx skills use wbh604/UZI-Skill@uzi

指定 Agent (Claude Code)

npx skills add wbh604/UZI-Skill --skill uzi -a claude-code -g -y

安装 repo 全部 skill

npx skills add wbh604/UZI-Skill --all -g -y

预览 repo 内 skill

npx skills add wbh604/UZI-Skill --list

SKILL.md

Frontmatter

{
    "name": "uzi",
    "author": "FloatFu-true",
    "license": "MIT",
    "version": "3.9.4",
    "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"
        ]
    },
    "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."
}

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.