gdm-science-bundle

gdm-science-bundle is a Bioinformatics & life sciences skill for AI agents, published by mkurman in the zorai repository on GitHub. Skillspace rates gdm-science-bundle C (72/100) and the safety scan flagged it for review; the rating is based on static analysis only.

Flagged for review. Read the source before running it.

Vendor of the google-deepmind/science-skills bundle (37 skills for scientific research). Use when a user asks about any of: AlphaGenome single-variant effect analysis (RNA-seq / DNase / ChIP / TF effects, splicing disruption, UBERON/CL ontology resolution for non-coding variants), AlphaFold DB fetch and analyze, ChEMBL bioactivity queries, ClinicalTrials.gov lookups, ClinVar variant interpretation, dbSNP, EMBL-EBI Ontology Lookup Service (OLS4), ENCODE cCREs, Ensembl REST, Foldseek structural search, gnomAD, GTEx, Human Protein Atlas, InterPro, JASPAR transcription-factor profiles, literature search (arXiv / bioRxiv / EuropePMC / OpenAlex), NCBI sequence fetch (EFetch), openFDA, OpenTargets, PDB, protein sequence MSA / similarity search, PubChem, PubMed, PyMOL structural visualization, QuickGO, Reactome, STRING, UCSC conservation & TFBS, UniBind, UniProt, or any workflow combining them. Always read the per-skill SKILL.md under skills/<name>/ and invoke Python only through `uv run`.

Grade

C

Quality

72 / 100

Safety

Needs review

GitHub stars

320

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.

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