sc-grn
sc-grn is a Bioinformatics & life sciences skill for AI agents, published by TianGzlab in the OmicsClaw repository on GitHub. Skillspace rates sc-grn A (94/100) and it passed the safety scan; the rating is based on static analysis only.
Load when inferring TF → target gene regulatory networks on a normalised scRNA AnnData via pySCENIC (GRNBoost2 + cisTarget + AUCell) or correlation-based GRN fallback (when arboreto is unavailable, in --demo, or with --allow-simplified-grn). Skip when computing ligand-receptor cell-cell signalling (use sc-cell-communication) or for predicting genetic-KO effects (use sc-in-silico-perturbation).
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.