sentiment-analysis
sentiment-analysis is a Customer feedback analysis skill for AI agents, published by lucas-flatwhite in the pm-skills-ko repository on GitHub. Skillspace rates sentiment-analysis D (65/100) and it passed the safety scan; the rating is based on static analysis only.
감성 점수, JTBD, 제품 만족도 인사이트를 포함한 시장 세그먼트 식별을 위한 사용자 피드백 데이터 분석. 대규모 사용자 피드백 분석, 리뷰 또는 설문에 대한 감성 분석, 또는 만족도 패턴 식별 시 활용하세요.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 41
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General user-feedback sentiment and segmentation analysis
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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