# uzi-skill-stock-analyzer

This skill runs deep stock research across A, HK, and US markets. Use it when a ticker needs valuation models, rule-based checks, and investor viewpoints.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 514 installs · ★ 88
- Author: reason-machines
- License: not stated · policy=link-only · description only; the file stays with the author
- Source: https://github.com/reason-machines/trending-skills/tree/HEAD/skills/uzi-skill-stock-analyzer/SKILL.md
- Updated: 2026-10-09
- HTML: https://affpapa.org/en/nevibecode/skills/uzi-skill-stock-analyzer

## What it does

The skill gathers data across 22 dimensions, runs 17 institutional analysis methods, and scores a ticker through 51 investor profiles backed by 180 quantitative rules. Its results include an HTML report, visual cards, and a plain-text digest.

Python scripts handle data collection, valuation work such as DCF, Comps, and LBO, feature checks, and report assembly. The workflow has two stages: scripts prepare the figures, then the agent reviews them and adds qualitative judgements before the final report is rendered. Data comes from akshare, 东方财富, 雪球, yfinance, and DuckDuckGo; these sources do not require API keys.

Coverage is limited to A, HK, and US markets. If those data sources cannot be reached, the analysis cannot gather the indicators it needs.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add reason-machines/trending-skills --skill uzi-skill-stock-analyzer -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/uzi-skill-stock-analyzer/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/uzi-skill-stock-analyzer/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add reason-machines/trending-skills --skill uzi-skill-stock-analyzer -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/uzi-skill-stock-analyzer/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add reason-machines/trending-skills --skill uzi-skill-stock-analyzer -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/uzi-skill-stock-analyzer/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install reason-machines/trending-skills uzi-skill-stock-analyzer
```

2. **Manually: put the files in place**
- File: `.github/skills/uzi-skill-stock-analyzer/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add reason-machines/trending-skills --skill uzi-skill-stock-analyzer -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/reason-machines/trending-skills --path skills/uzi-skill-stock-analyzer
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/uzi-skill-stock-analyzer/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add reason-machines/trending-skills --skill uzi-skill-stock-analyzer -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/reason-machines/trending-skills/tree/HEAD/skills/uzi-skill-stock-analyzer/SKILL.md

## When to use it
- run a 22-dimension review of a stock
- value a company with DCF and sensitivity checks
- benchmark a ticker against peers with Comps
- collect scores from 51 investor profiles
- scan a stock for pump-and-dump patterns

## Example prompts
- Run a full deep analysis of `AAPL` across every available dimension.
- Compare `002273` with peers and calculate a DCF valuation.
- Check `00700.HK` for pump-and-dump patterns and show the investor panel view.

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From the same set: [reason-machines/trending-skills](https://affpapa.org/en/nevibecode/by/reason-machines/trending-skills.md) — 186 cards

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md