public-data-sources
public-data-sources is a Web research & fact-checking skill for AI agents, published by SiyaoZheng in the ai4ss-skills repository on GitHub. Skillspace rates public-data-sources D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Discover, evaluate, verify, and obtain public data for empirical political science. Use when locating datasets, administrative records, surveys, events, economic or demographic indicators, legislative data, geographic data, text corpora, bibliometric data, replication packages, repositories, or public APIs; comparing source fit; testing access; and downloading source materials with provenance. Triggers include "public data", "dataset discovery", "data API", "find data", "replication data", "公共数据", "数据来源", "数据获取", "公开数据库".
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 36
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
- No issues found
- License
- GPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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