Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for AI research and engineering teams working on agentic scientific workflows: google-deepmind/science-skills is the official Google DeepMind collection of 30+ agent skills covering genomics, structural biology, cheminformatics, literature search, and clinical / pharmacological / regulatory databases, with every skill grounded in a primary scientific database
Where this stands now
google-deepmind/science-skills ranks #209 of 2143 tracked Radar items by composite score (8.4 against a section median of 6.7). The section currently carries 1038 Bronze, 646 Gold, 459 Silver. RepoRadar has retained observations for this record since 2026-06-25 (91 days in the current window). Signal extremes versus the section: novelty at the 78th percentile.
Who should use it
Who should skip it
Move on from google-deepmind/science-skills if the licensing terms, language support, or platform requirements do not fit your project.
About this signal
google-deepmind/science-skills is tracked by RepoRadar as an agent project in the Radar section. First seen 2026-06-25; the source record was last checked on 2026-06-25. The current verdict is 'try now' with a Gold tier and moderate setup difficulty. The standout signals for google-deepmind/science-skills are workflow potential (9.5) and maturity (9.1), while setup ease (6.4) trails — that balance shapes where it fits best. This page summarizes the public evidence on the linked source page and states where additional review is still needed.
How this item is evaluated
The google-deepmind/science-skills record combines a 8.4/10 composite score with separate popularity (100.0), risk (low), and setup (moderate) signals. See the scoring methodology for the current weights and evidence definitions.
Putting this into practice? Read How to vet an AI agent or MCP server before you wire it in for the checklist behind this score.
Risk explanation
Some skills require API keys. The README explicitly notes 'Some skills, such as AlphaGenome and OpenAlex, require an API key to function' — users must obtain the relevant API key before triggering those skills, and the API key has to be configured in the agent's environment or skill-specific config file; First-time install requires uv package manager and approval prompt. The README says 'The first time you trigger a Science Skill, the agent will ask for approval and install uv, and then proceed to respond to your scientific query / task. We recommend restarting Antigravity after this first time installation.' — users should expect the first invocation to trigger a package-manager install and an approval prompt; Primary databases can change schemas, rate limits, or terms of service. The skills are grounded in 30+ primary scientific databases (AlphaGenome, AFDB, UniProt, PubMed, ChEMBL, OpenAlex, PDB, etc.), and any of those databases can change their API schema, rate limits, or terms of service without notice; users running the skills in production should pin to a tested commit and monitor the upstream database status pages.