datasource-eval

datasource-eval is a Web scraping & data collection skill for AI agents, published by creamycake-anime in the ani-subs repository on GitHub. Skillspace rates datasource-eval D (66/100) and it passed the safety scan; the rating is based on static analysis only.

评测 ani-subs 的 CSS selector 数据源并生成图文报告。跨多部番剧对每个 web selector 源跑完整解析流程 (searchSubjects→…→extractVideo)，用 Animeko 桌面播放器 (VLC) 真实播放每条线路测可播放性/分辨率/码率/起播耗时，多点截图后由 subagent 逐张看图判断博彩广告，最后生成三层报告 (总索引 + 每源线路拆解 + 每线路图文页)，含成功/失败原因与评测日期。当用户要"评测数据源/测试所有源/评估 selector 源/生成数据源报告/看哪些源能用/查数据源广告"时使用。

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
38

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.

View source on GitHubcreamycake-anime/ani-subs

Our review

Architecture
85 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
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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