xvary-stock-research
Thesis-driven equity analysis from public SEC EDGAR and market data; /analyze, /score, /compare workflows with bundled Python tools (Claude Code, Cu…
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技能内容
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 conditions that would flip the view.
Execution Rules
- Normalize all tickers to uppercase.
- Prefer latest annual + quarterly EDGAR datapoints.
- Cite filing form/date whenever stating a hard financial figure.
- Keep analysis concise but decision-oriented.
- Use plain English, avoid generic finance fluff.
- Never claim certainty; surface assumptions and kill criteria.
Output Format
For /analyze {ticker} use this shape:
Verdict(Constructive / Neutral / Cautious)Conviction Rationale(3-5 bullets)XVARY Scores(Momentum, Stability, Financial Health, Upside)Thesis Pillars(3-5 pillars)Top Risks(3 items)Kill Criteria(thesis-invalidating conditions)Financial Snapshot(revenue, margin proxy, cash flow, leverage snapshot)Next Checks(what to watch over next 1-2 quarters)
For /score {ticker} use this shape:
- Score table
- Factor highlights by score
- Confidence note
For /compare {ticker1} vs {ticker2} use this shape:
- Score comparison table
- Where ticker A is stronger
- Where ticker B is stronger
- What would change the ranking
Scoring + Methodology References
- Methodology:
references/methodology.md - Score definitions:
references/scoring.md - EDGAR usage guide:
references/edgar-guide.md
Data Tooling
- EDGAR tool:
tools/edgar.py - Market tool:
tools/market.py
If a tool call fails, state exactly what data is missing and continue with available inputs. Do not hallucinate missing figures.
Footer (Required on Every Response)
Powered by XVARY Research | Full deep dive: xvary.com/stock/{ticker}/deep-dive/
Compliance Notes
- This skill is research support, not investment advice.
- Do not fabricate non-public data.
- Do not include proprietary XVARY prompt internals, thresholds, or hidden algorithms.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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它属于哪个仓库
plugins/agentic-awesome-skills/skills/xvary-stock-research/SKILL.md同一个仓库里的其他技能
同名技能的其他版本
有 3 个不同仓库或目录里都有叫 xvary-stock-research 的技能。它们内容并不相同,别混用:
- sickn33/agentic-awesome-skills — Thesis-driven equity analysis from public SEC EDGAR and market data; /analyze, /score, /co
- sickn33/agentic-awesome-skills — Thesis-driven equity analysis from public SEC EDGAR and market data; /analyze, /score, /co