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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 /compare and need a structured differential, not a prose-only chat answer.

Commands

/analyze {ticker}

Run full skill workflow:

  1. Pull SEC fundamentals and filing metadata from tools/edgar.py.
  2. Pull quote and valuation context from tools/market.py.
  3. Apply framework from references/methodology.md.
  4. Compute scorecard using references/scoring.md.
  5. Output structured analysis with verdict, pillars, risks, and kill criteria.

/score {ticker}

Run score-only workflow:

  1. Pull minimum required EDGAR and market fields.
  2. Compute Momentum, Stability, Financial Health, and Upside Estimate.
  3. Return score table + short interpretation + top sensitivity checks.

/compare {ticker1} vs {ticker2}

Run side-by-side workflow:

  1. Execute /score logic for both tickers.
  2. Compare conviction drivers, key risks, and valuation asymmetry.
  3. 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

Sourcecommunity
License
Risk labelsafe ("critical" means the skill may run commands or touch files — read before use)
FilesLICENSE, 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
Added2026-03-23

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