xvary-research

Xvary Stock Research — Data skill for Claude Code

Data community intermediate

Claude Code skill for public SEC EDGAR + market data: /analyze, /score, /compare.

How to install Xvary Stock Research

This entry records only its repository, not the path inside it, so there is no exact command to give. Open xvary-research/claude-code-stock-analysis-skill and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Xvary Stock Research does

[](./LICENSE) [](https://www.python.org/) [](./SKILL.md) [](https://xvary.com)

Alternatives in Data

A Stock Data — A股全栈数据工具包 · 十一层架构 · 54端点 · 19数据源 · 零鉴权 Full-stack China A-share data toolkit for AI agents — 11 layers, 54 end 9.4k ★
Global Stock Data — US stock market data for AI coding assistants — zero-auth, official sources 1.5k ★
Query Token Info — Search tokens and fetch metadata, real-time market data, and K-Line candlestick charts by keyword or contract 483 ★

README

XVARY Stock Research

[](./LICENSE) [](https://www.python.org/) [](./SKILL.md) [](https://xvary.com)

Type `/analyze NVDA` in Claude Code and get a thesis-driven equity report with conviction scoring, kill criteria, and an EDGAR-backed financial snapshot -- in under two minutes, from public data, for free.

This is the open skill layer of [XVARY Research](https://xvary.com). We run a 21-stage pipeline to produce institutional-depth stock analysis. This repo gives you the methodology framework, the data tools, and the scoring models. The full 22-section deep dives live at [xvary.com](https://xvary.com).

*We recognize Linux Do community*

From the live site (NVDA deep dive)

Captured from **[xvary.com/stock/nvda/deep-dive/](https://xvary.com/stock/nvda/deep-dive/)** — same product surface the skill is designed to complement.

*Regenerate these assets:* `npm install && npm run screenshots:nvda` (see `scripts/screenshot_xvary_nvda.mjs`).

What you get that raw data tools don't

A verdict, not a spreadsheet -- "Constructive at 74/100 conviction"
Named kill criteria -- exactly what would break the thesis
Composite scores across four dimensions, not just price ratios
Analysis that reads like a research desk, not a terminal dump

Quick Start

Clone and verify

git clone git@github.com:xvary-research/claude-code-stock-analysis-skill.git
cd claude-code-stock-analysis-skill
python3 tools/edgar.py AAPL    # pulls SEC XBRL data
python3 tools/market.py AAPL   # pulls price + ratios

**XVARY monorepo:** if you already have the full workspace, this skill lives at `9. Marketing/xvary skill/`.