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 dbsnp_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/dbsnp_database)<a href="https://agentmods.dev/skills/google-deepmind/science-skills/dbsnp_database"><img src="https://agentmods.dev/badge/skills/google-deepmind/science-skills/dbsnp_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/dbsnp_database"><img src="https://agentmods.dev/badge/skills/google-deepmind/science-skills/dbsnp_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 | $0.00084 | $0.03688 |
| Opus 5.5 | $0.00034 | $0.01475 |
| Sonnet 5.5 | $0.00017 | $0.00738 |
| Haiku 4.5 | $0.00008 | $0.00369 |
Grade A, and why
dbsnp-database scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
HTTP or curl requests. The script automatically handles rate limiting, How it starts
The opening of the file, as written. The whole thing — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dbSNP Database Integration
Prerequisites
uv: Read theuvskill and follow its Setup instructions to ensureuvis installed and on PATH.- User Notification: If .licenses/dbsnp_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/snp/, 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.
Core Rules
- Use the Wrapper: ALWAYS execute the provided wrapper script
scripts/dbsnp_cli.pyto query the database rather than constructing custom HTTP or curl requests. The script automatically handles rate limiting, retries, and JSON parsing. - Command Choice: Do NOT use
search-regionto find the rsID of a specific variant; useresolve-variantinstead. - Output Size: Avoid using
--fullonget-variantunless specifically needed, as raw payloads can exceed 1 MB. - Shell Safety: Always wrap HGVS strings in single quotes to prevent shell expansion errors.
- Notification: If this skill is used, ensure this is mentioned in the output.
When to Use
Use this skill when you need to:
- Map a genomic variant to its canonical rsID (from VCF coordinates or HGVS notation).
- Retrieve summary data for an rsID: variant type, gene associations, clinical significance, and population allele frequencies.
- Convert an rsID back to genomic coordinates on a specific assembly.
- Find all known variants within a chromosomal region.
What ships with it
3 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 · 351 lines · 84 tokens per session scan A 261817ea3ca4
dbsnp-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 84 tokens to every session and 3,688 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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