Science Skills is a collection of add-ons that give AI agents structured instructions, scripts, and references for scientific research, including genomics, structural biology, cheminformatics, and literature search. Researchers use it to guide agents through specialized scientific tasks with information from databases and tools such as AlphaGenome, AFDB, and UniProt. The catalogue entries are individual skills from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add google-deepmind/science-skills --skill clinvar_databasegit clone --depth 1 https://github.com/google-deepmind/science-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/google-deepmind/science-skills/clinvar_database)<a href="https://agentmods.dev/skills/google-deepmind/science-skills/clinvar_database"><img src="https://agentmods.dev/badge/skills/google-deepmind/science-skills/clinvar_database/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/google-deepmind/science-skills/clinvar_database"><img src="https://agentmods.dev/badge/skills/google-deepmind/science-skills/clinvar_database.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00045 | $0.04015 |
| Opus 5.5 | $0.00018 | $0.01606 |
| Sonnet 5.5 | $0.00009 | $0.00803 |
| Haiku 4.5 | $0.00005 | $0.00402 |
Grade A, and why
clinvar-database scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ClinVar Database
Prerequisites
uv: Read theuvskill and follow its Setup instructions to ensureuvis installed and on PATH.- User Notification: If .licenses/clinvar_database_LICENSE.txt does not already exist in the workspace root directory then (1) prominently notify the user to check the terms at https://www.ncbi.nlm.nih.gov/clinvar/, then (2) create the file recording the notification text and timestamp.
.envfile: Make sure the.envfile exists in your home directory. Create one if it does not exist.NCBI_API_KEY(optional): Raises the NCBI rate limit from 3 to 10 requests/second. The skill works without it, but a key is recommended if the user plans many queries or encounters a 429 error. You can register for a key for free at https://www.ncbi.nlm.nih.gov/account/settings/. You MUST use the safe credentials protocol in thecredentialsskill to check for and request this key if this skill looks relevant to the user's request.
Overview
ClinVar is the primary consensus record for clinical classifications of human genomic variations. It provides the "clinical ground truth" for pathogenicity labels (Pathogenic, Likely Pathogenic, Benign, VUS) based on assertions from global laboratories.
When to Use
Use when you need to:
- Find the current clinical significance and star rating (review status) for a specific variant.
- Fetch clinician notes, assertion criteria, or rationales for previous clinical laboratory classifications.
- Retrieve the preferred condition name and associated HPO terms for a specific variant.
- Find a list of variant controls (e.g., "Find all Pathogenic variants in the HBB gene within 50bp of a signal").
- Check for conflicting interpretations for a given variant and identify the organizations submitting each classification.
Do NOT use when you need to:
- Find specific allele frequencies in global populations (use gnomAD).
- Describe the normal biological role of a protein and typical inheritance patterns (use OMIM).
- Predict mechanistic effects of novel mutations, like frameshifts or exon skipping (use AlphaGenome).
- Find recommended surveillance schedules for patients with a pathogenic variant (use GeneReviews).
- Generate or view 3D structural models of affected proteins (use PDB / AlphaFold).
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 371 lines · 45 tokens per session scan A 2e3e3e5c79b6
clinvar-database is a skill published in the GitHub repository google-deepmind/science-skills (3,307 stars, last pushed 6d ago), licensed Apache-2.0. It adds 45 tokens to every session and 4,015 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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