sc-pathway-scoring
sc-pathway-scoring is a Bioinformatics & life sciences skill for AI agents, published by TianGzlab in the OmicsClaw repository on GitHub. Skillspace rates sc-pathway-scoring A (94/100) and it passed the safety scan; the rating is based on static analysis only.
Load when computing per-cell pathway / gene-set scores on a normalised scRNA AnnData via AUCell (R or Python) or Scanpy score_genes. Skip when running condition-vs-control bulk-style enrichment on top of a DE table (use sc-enrichment) or for de-novo gene-program discovery (use sc-gene-programs).
- Grade
- A
- Quality
- 94 / 100
- Safety
- Passed
- GitHub stars
- 152
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
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 1 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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