content-analysis
content-analysis is an NLP, speech & audio ML skill for AI agents, published by liangdabiao in the claude-data-analysis-ultra-main repository on GitHub. Skillspace rates content-analysis C (76/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze text content using both traditional NLP and LLM-enhanced methods. Extract sentiment, topics, keywords, and insights from various content types including social media posts, articles, reviews, and video content. Use when working with text analysis, sentiment detection, topic modeling, or content optimization.
- Grade
- C
- Quality
- 76 / 100
- Safety
- Passed
- GitHub stars
- 255
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
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 4 other repositories, in 1 collections
- Scope
- Portable: works in any project. General NLP and LLM text analysis techniques
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
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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