XVARY Stock Research

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. 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.
*We recognize Linux Do community*
From the live site (NVDA deep dive)
Captured from **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
**XVARY monorepo:** if you already have the full workspace, this skill lives at 9. Marketing/xvary skill/.
Install as a Claude Code skill
Or skip the install entirely -- open Claude Code in this repo and say:
**Plugin marketplace (same folder):** open this directory as the marketplace root (it contains .claude-plugin/marketplace.json), then in Claude Code run /plugin marketplace add . and /plugin install xvary-stock-research@xvary-research. Validate with claude plugin validate . before you tag a release.
**Public GitHub checkout:** /plugin marketplace add xvary-research/claude-code-stock-analysis-skill then /plugin install xvary-stock-research.
Commands
| Command | What it does |
|---|---|
| /analyze {ticker} | 1-page thesis + scorecard + risks + EDGAR-backed financial snapshot |
| /score {ticker} | Momentum, Stability, Financial Health, and Upside Estimate |
| /compare {A} vs {B} | Side-by-side score, thesis, and risk differential |
Example: /analyze NVDA
Full example: examples/nvda-analysis.md
**This is the free layer.** The full pipeline produces 22-section reports with DCF models, competitive matrices, risk scenarios, and adversarial challenge gates.
**Open the live NVDA report:** xvary.com/stock/nvda/deep-dive/ (free preview; full tabs with subscription)
How this compares
| | Raw data MCPs | Screener APIs | **This repo** |
|---|---|---|---|
| Free | Varies | Usually no | **Yes** |
| Thesis with verdict | No | No | **Yes** |
| Named kill criteria | No | No | **Yes** |
| Composite scoring (4 dimensions) | No | Partial | **Yes** |
| Works locally, no API key | N/A | No | **Yes** |
| Methodology published | N/A | No | **Yes** |
Architecture
**Skill layer (this repo):** public data in → methodology + scoring → structured output → link out to full deep dives on xvary.com.
Claude Code plugin bundle (ships in this folder)
| Path | Role |
|------|------|
| .claude-plugin/marketplace.json | Marketplace catalog **xvary-research** — users run /plugin marketplace add from this directory |
| plugins/xvary-stock-research/ | Plugin wrapper; skills/xvary-stock-research/ symlinks to root SKILL.md, references/, tools/, examples/ so there is a single source tree |
**Monorepo checkout:** open a terminal in **9. Marketing/xvary skill/** (this folder), then run /plugin marketplace add . in Claude Code — same as a standalone claude-code-stock-analysis-skill clone where this folder is the repo root.