Financial Data Collector
Pulls structured financial data for US public companies from yfinance and outputs a single JSON file ready for DCF models or comp analysis. The key constraint is no fallback values: if yfinance returns NaN for revenue in 2021, you get null with a source note, not a guess. It preserves yfinance's negative CapEx sign convention and flags that their FCF doesn't deduct stock-based comp, which matters for mega-caps where SBC can inflate FCF by 30%. Includes validation checks for cross-field consistency and sane ranges. Use this when you need clean, attributed financial data before running valuation models downstream.
- skills.sh installs
- 917
- GitHub stars
- 1.5K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add daymade/claude-code-skills --skill financial-data-collector --agent claude-codeInstalls into .claude/skills of the current project.
Files
Financial Data Collector
Collect and validate real financial data for US public companies using free data sources. Output is a standardized JSON file ready for consumption by other financial skills.
Critical Constraints
NO FALLBACK values. If a field cannot be retrieved, set it to null with _source: "missing".
Never substitute defaults (e.g., beta or 1.0). The downstream skill decides how to handle missing data.
Data source attribution is mandatory. Every data section must have a _source field.
CapEx sign convention: yfinance returns CapEx as negative (cash outflow). Preserve the original sign. Document the convention in output metadata. Do NOT flip signs.
yfinance FCF ≠ Investment bank FCF. yfinance FCF = Operating CF + CapEx (no SBC deduction). Flag this in output metadata so downstream DCF skills don't overstate FCF.
Workflow
Step 1: Collect Data
Run the collection script:
python scripts/collect_data.py TICKER [--years 5] [--output path/to/output.json]
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- Repository
- github.com/daymade/claude-code-skills
- Categories
- Git & Pull Requests, Code Review & Quality, Finance & Trading
- First seen
- Jun 3, 2026
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