interest-radar
interest-radar is a Personal productivity & habits skill for AI agents, published by Igloo302 in the interest-radar repository on GitHub. Skillspace rates interest-radar D (61/100) and it passed the safety scan; the rating is based on static analysis only.
通用相关性判断引擎（兴趣雷达/Interest Radar/Personal Radar）：接收外部内容，利用用户的个人上下文判断内容与用户的相关程度。平台无关，可在各种 Agent 平台上运行。触发场景：(1) 用户转发/粘贴链接/消息并询问相关性；(2) 用户要求分析某条内容与项目的关联；(3) 用户提到"兴趣雷达"、"personal radar"、"相关性判断"；(4) 其他推送 Skill 调用 batch_judge 增强推送质量。
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 28
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
- 75 / 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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