spacy-nlp
spacy-nlp is an NLP, speech & audio ML skill for AI agents, published by beita6969 in the ScienceClaw repository on GitHub. Skillspace rates spacy-nlp D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Natural language processing with spaCy. Use when: (1) named entity recognition, (2) POS tagging and dependency parsing, (3) text tokenization and linguistic analysis, (4) rule-based pattern matching, (5) custom NER pipelines. NOT for: LLM inference or text generation (use transformers), sentiment analysis at scale (use dedicated models), or machine translation.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 866
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 1 collections
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
- 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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