xvary-stock-research
Thesis-driven equity analysis from public SEC EDGAR and market data; /analyze, /score, /compare workflows with bundled Python tools (Claude Code, Cursor, Codex).
Government & Public SectorExecutives & StrategyScience & Research
XVARY Stock Research Skill
Use this skill to produce institutional-depth stock analysis in Claude Code using public EDGAR + market data.
When to Use
- Use when you need a verdict-style equity memo (constructive / neutral / cautious) grounded in public filings and quotes.
- Use when you want named kill criteria and a four-pillar scorecard (Momentum, Stability, Financial Health, Upside) without a paid data terminal.
- Use when comparing two tickers with
/compareand need a structured differential, not a prose-only chat answer.
Commands
/analyze {ticker}
Run full skill workflow:
- Pull SEC fundamentals and filing metadata from
tools/edgar.py. - Pull quote and valuation context from
tools/market.py. - Apply framework from
references/methodology.md. - Compute scorecard using
references/scoring.md. - Output structured analysis with verdict, pillars, risks, and kill criteria.
/score {ticker}
Run score-only workflow:
- Pull minimum required EDGAR and market fields.
- Compute Momentum, Stability, Financial Health, and Upside Estimate.
- Return score table + short interpretation + top sensitivity checks.
/compare {ticker1} vs {ticker2}
Run side-by-side workflow:
- Execute
/scorelogic for both tickers. - Compare conviction drivers, key risks, and valuation asymmetry.
- Return winner by setup quality, plus condi
Subscribers only
The full skill, its 14 bundled files and every download is included with every paid Complete AI plan.
Details
| Source | community |
|---|---|
| License | — |
| Risk label | safe ("critical" means the skill may run commands or touch files — read before use) |
| Files | LICENSE, SKILL.md, assets/nvda-deep-dive-hero.png, assets/nvda-deep-dive-scenarios.png, assets/nvda-deep-dive-thesis.png, assets/social-preview.png, examples/nvda-analysis.md, references/edgar-guide.md, references/methodology.md, references/scoring.md, tests/test_edgar.py, tests/test_market.py, tools/edgar.py, tools/market.py |
| Added | 2026-03-23 |
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