single-cell-rnaseq
single-cell-rnaseq is a Bioinformatics & life sciences skill for AI agents, published by JWM0203 in the Claude-Science-for-win repository on GitHub. Skillspace rates single-cell-rnaseq D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Single-cell RNA-seq analysis (mirrors Claude Science's single-cell skill). scanpy/anndata pipeline QC->normalize->HVG->PCA->neighbors->Leiden->UMAP->markers->annotation, publication figures. Use for scRNA-seq, count matrices, cell clustering/annotation. Needs the sci-bio env.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 33
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
- 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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