election-data-source-countypres
election-data-source-countypres is an Exploratory analysis & notebooks skill for AI agents, published by DAAF-Contribution-Community in the daaf repository on GitHub. Skillspace rates election-data-source-countypres D (68/100) and it passed the safety scan; the rating is based on static analysis only.
County Presidential Returns 2000-2024 (MIT MEDSL). Vote shares, party trends, turnout by county_fips (joins census/education data). Requires HARVARD_DATAVERSE_API_KEY set via environment_settings.txt. Critical: naive mode='TOTAL' filtering silently drops ~1,000 counties in post-2020 data where states report by vote mode (absentee, election-day, provisional) instead of totals — use 3-pattern reconstruction (TOTAL-present rows kept, breakdown-only counties summed across modes, empty-string mode rows reclassified). Categorical variables use uppercase strings, not Portal integer codes.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 220
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- LGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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