Pull and describe HMDA mortgage-lending data (LAR records) for a county, state, lender (LEI), or multiple years, and compute a CRA-PROXY borrower- and tract-income distribution. Use when the user says "pull HMDA data", "LAR records", "mortgage lending data for [county/state/lender]", or "multi-year HMDA". DESCRIPTIVE ONLY — this skill does not do disparity, disparate-impact, or fair-lending analysis. Backed by the audited PyPI package hmda-analyzer.
How to install hmda-analysis?
jaypatel1511/cdfi-superpowers/hmda-analysis
$npx -y skills add jaypatel1511/cdfi-superpowers --skill hmda-analysisInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/jaypatel1511/cdfi-superpowers" --skill "jaypatel1511/cdfi-superpowers/hmda-analysis"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/jaypatel1511/cdfi-superpowers" that are relevant to the current task. Run `npx skills add "https://github.com/jaypatel1511/cdfi-superpowers"` and select the relevant skills, then follow their instructions.
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