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Thesis-driven equity analysis from public SEC EDGAR and market data; /analyze, /score, /compare workflows with bundled Python tools (Claude Code, Cursor, Codex).
Passed 8 of 14 test cases with the skill, and 6 of 14 without it.
and 6 more in the full report
8 fixed5 passed either way5 still failing4 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
When pulling current market quotes and market context for MSFT equity analysis, state which tool script is called.
| Checked | Without skill | With skill |
|---|---|---|
| Identifies tools/market.py as the source for quote and valuation context. | Missed | Passed |
The instructions your model reads when the skill loads.
Use this skill to produce institutional-depth stock analysis in Claude Code using public EDGAR + market data.
/compare and need a structured differential, not a prose-only chat answer./analyze {ticker}Run full skill workflow:
tools/edgar.py.tools/market.py.references/methodology.md.references/scoring.md./score {ticker}Run score-only workflow:
/compare {ticker1} vs {ticker2}Run side-by-side workflow:
/score logic for both tickers.test cases passed, vs 6 / 14 without
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