UZI-Skill is a collection of coding-agent skills for analyzing individual stocks across Chinese, Hong Kong, and United States markets using public data, investor viewpoints, quantitative rules, and institutional analysis methods. It is for users who want an agent to produce detailed stock-analysis reports. The catalogue entries are the commands, skills, instructions, plugin, agent, and hook that provide this workflow in supported coding agents.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add wbh604/UZI-Skill --skill lhb-analyzergit clone --depth 1 https://github.com/wbh604/UZI-SkillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/wbh604/uzi-skill/lhb-analyzer)<a href="https://agentmods.dev/skills/wbh604/uzi-skill/lhb-analyzer"><img src="https://agentmods.dev/badge/skills/wbh604/uzi-skill/lhb-analyzer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/wbh604/uzi-skill/lhb-analyzer"><img src="https://agentmods.dev/badge/skills/wbh604/uzi-skill/lhb-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00072 | $0.00577 |
| Opus 5 | $0.00036 | $0.00289 |
| Sonnet 5 | $0.00014 | $0.00115 |
| Haiku 4.5 | $0.00007 | $0.00058 |
Grade A, and why
lhb-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- lhb-analyzer — 100% identical, 2 lines differ
What it actually says
龙虎榜深度分析
调用上下文
输入：股票代码或个股名 输出：龙虎榜分析 + 游资识别 + 同板块对比
数据流
- 调用
scripts/fetch_lhb.py {ticker}拿到原始龙虎榜数据 - 调用
lib/seat_db.py::match_seats_in_lhb()识别游资席位 - 用
lib/seat_db.py::is_in_range()判断该游资是否在射程内 - 拉取同板块龙虎榜对比（找辨识度龙头）
输出 markdown 结构
# {name} ({ticker}) 龙虎榜分析
## 📅 近 30 天上榜 X 次
(列表)
## 🐉 识别到的游资 (Y 位)
| 游资 | 风格 | 在不在射程 | 买入 / 卖出 |
|---|---|---|---|
| 章盟主 | 大资金趋势 | ✅ 在射程 | 买 1.2 亿 |
| 佛山无影脚 | 一日游 | ❌ 不在 | 卖 0.3 亿 (反向预警) |
## ⚖️ 机构 vs 游资
- 机构净买入: ¥X 亿
- 游资净买入: ¥Y 亿
- 主导方: {机构 / 游资}
## 🏆 同板块辨识度龙头
| 排名 | 代码 | 名称 | 上榜次数 | 累计涨幅 |
|---|---|---|---|---|
| 1 | ... | ... | ... | ... |
本股在板块中的位置: 第 N
## 💡 结论一句话
"这是一只机构主导 + 章盟主格局票，板块辨识度排第 2，可以跟。"
参考资料
详细的 22 位游资席位百科见 references/seat-encyclopedia.md。
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 65 lines · 72 tokens per session scan A 3a27c5e8d79f
lhb-analyzer is a skill published in the GitHub repository wbh604/UZI-Skill (6,820 stars, last pushed 5d ago), licensed MIT. It adds 72 tokens to every session and 577 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
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strategy-pivot-designer
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twitter-reader
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chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
trading-risk-gate
Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.