Agent skill · Data & Analytics

education-data-source-fsa

FSA — Title IV aid at institution level (~5,500 institutions, 1999-2021). Pell Grants, Direct/PLUS loans, campus-based aid, financial responsibility scores, 90/10 metrics. Use for aid distribution, loan volume, or for-profit analysis. By unitid.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-source-fsa --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 18 KB
Bundled scripts: none
Path: skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/education-data-source-fsa/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# FSA Data Source Reference Federal Student Aid (FSA) — institutional-level Title IV aid data for ~5,500 postsecondary institutions, covering Pell Grants, Direct and PLUS loans, campus-based aid (FWS, FSEOG, Perkins), financial responsibility composite scores, and 90/10 revenue metrics (1999-2021, varies by dataset). Use when analyzing Pell Grant distribution by institution type, student loan volu

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About this skill
What does the education-data-source-fsa skill do?

FSA — Title IV aid at institution level (~5,500 institutions, 1999-2021). Pell Grants, Direct/PLUS loans, campus-based aid, financial responsibility scores, 90/10 metrics. Use for aid distribution, loan volume, or for-profit analysis. By unitid.

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill education-data-source-fsa --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 brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 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.

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