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).
Profile →npx skills add sickn33/agentic-awesome-skills --skill xvary-stock-research --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 {ticker
- When to Use
- Commands
- /analyze {ticker}
- /score {ticker}
- /compare {ticker1} vs {ticker2}
- Execution Rules
- Output Format
- Scoring + Methodology References
- Data Tooling
- Footer (Required on Every Response)
- Compliance Notes
- Limitations
What does the xvary-stock-research skill do?
Thesis-driven equity analysis from public SEC EDGAR and market data; /analyze, /score, /compare workflows with bundled Python tools (Claude Code, Cursor, Codex).
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill xvary-stock-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.