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.
Borrowing it
Nothing to install: this file belongs to wbh604/UZI-Skill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/wbh604/UZI-Skill/main/CLAUDE.mdgit 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/instructions/wbh604/uzi-skill/claude-md)<a href="https://agentmods.dev/instructions/wbh604/uzi-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/wbh604/uzi-skill/claude-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00645 | $0.00645 |
| Opus 5 | $0.00322 | $0.00322 |
| Sonnet 5 | $0.00129 | $0.00129 |
| Haiku 4.5 | $0.00064 | $0.00064 |
Grade A, and why
UZI-Skill CLAUDE.md 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 8d 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.
What it actually says
UZI-Skill · Claude Code Context
本文件供 Claude Code 自动读取，提供项目上下文。
这是什么
一个股票深度分析 plugin。用户说"分析 XXX"时，你应该自动触发 deep-analysis skill。
核心技能
| Skill | 触发条件 | 说明 |
|---|---|---|
deep-analysis |
用户提到"分析/研究/估值/DCF/值不值得买"等 | 22维数据 + 66评委 + Bloomberg报告 |
investor-panel |
用户要求"只看评委/大佬怎么看" | 单独跑投资者面板 |
lhb-analyzer |
用户提到"龙虎榜/游资/营业部" | 龙虎榜专项分析 |
trap-detector |
用户提到"杀猪盘/有没有问题/安全吗" | 杀猪盘检测 |
工作流 · 深浅两档（v2.10.6 · v3.9.4 强化）
快速路径（默认）：用户说"分析/看看"、或 lite/medium 档时，走 CLI 直跑。
python3 run.py <ticker> --depth lite --no-browser # 30-60s
# 或
python3 run.py <ticker> --depth medium --no-browser # 2-4min，默认完整度
lite/medium 档 agent_analysis.json 缺失自动降级 warning，照样出 HTML。不需要 role-play 66 评委。
深度路径（deep 档必须走）：当用户要 --depth deep、DCF / IC memo / 首次覆盖 / 投委会备忘录等深度产物时，你必须介入 role-play，不能只跑 CLI：
stage1()— 脚本采集数据 + 规则引擎骨架分- 你介入（必走） — 读
panel.json+personas/*.yaml，以 66 评委身份逐个分析当前股票，写agent_analysis.json（含per_investor_override） stage2()— 自动合并你的 role-play 成果，生成报告
⚠️ deep 档不要直接
python run.py <ticker> --depth deep一把梭——那是纯规则输出。deep 的意义就在于你代入角色做判断。见 AGENTS.md 路径判断表。
详细流程见 AGENTS.md / skills/deep-analysis/SKILL.md。
重要文件
AGENTS.md— 完整 agent 指令skills/deep-analysis/SKILL.md— 深度分析工作流skills/deep-analysis/scripts/run_real_test.py— 主引擎commands/analyze-stock.md—/analyze-stock命令
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.
- 8d ago First seen · 43 lines · 645 tokens per session scan A d414b699fd75
UZI-Skill CLAUDE.md is an instructions file published in the GitHub repository wbh604/UZI-Skill (6,781 stars, last pushed 2d ago), licensed MIT. It adds 645 tokens to every session, about $0.0032 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 instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.