Borrowing it
Nothing to install: this file belongs to donbr/lifesciences-research. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/donbr/lifesciences-research/main/.claude/skills/lifesciences-genomics/SKILL.mdgit clone --depth 1 https://github.com/donbr/lifesciences-researchWrote 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/donbr/lifesciences-research/lifesciences-genomics)<a href="https://agentmods.dev/skills/donbr/lifesciences-research/lifesciences-genomics"><img src="https://agentmods.dev/badge/skills/donbr/lifesciences-research/lifesciences-genomics/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/donbr/lifesciences-research/lifesciences-genomics"><img src="https://agentmods.dev/badge/skills/donbr/lifesciences-research/lifesciences-genomics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 60 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00101 | $0.01573 |
| Opus 5 | $0.00051 | $0.00787 |
| Sonnet 5 | $0.00020 | $0.00315 |
| Haiku 4.5 | $0.00010 | $0.00157 |
Grade A, and why
lifesciences-genomics 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 12d 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.
description: "Queries genomic databases (Ensembl, NCBI, HGNC) via curl for gene lookup, variant annotation, orthology, and cross-database ID resolution. This skill should be used when the user asks to \"annotate variants How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Genomics API Skills
Query genomic databases directly via curl. These endpoints complement the Life Sciences MCPs.
Quick Reference
| Task | API | Endpoint |
|---|---|---|
| Resolve gene symbol | HGNC | /search/{symbol} |
| Get gene metadata | Ensembl | /lookup/id/{ENSG} |
| Annotate variant | Ensembl VEP | /vep/:species/hgvs |
| Find orthologs | Ensembl | /homology/id/:species/:id |
| Cross-reference IDs | Ensembl | /xrefs/id/{ENSG} |
| Search NCBI Gene | E-utilities | /esearch.fcgi?db=gene |
| Link gene→PubMed | E-utilities | /elink.fcgi?dbfrom=gene&db=pubmed |
Curl Examples
HGNC: Resolve Gene Symbol
# Search for gene by symbol
curl -s "https://rest.genenames.org/search/symbol/TP53" \
-H "Accept: application/json" | jq '.response.docs[0] | {hgnc_id, symbol, name}'
# Fetch by HGNC ID
curl -s "https://rest.genenames.org/fetch/hgnc_id/11998" \
-H "Accept: application/json" | jq '.response.docs[0]'
Ensembl: Gene Lookup & Metadata
# Lookup gene by Ensembl ID
curl -s "https://rest.ensembl.org/lookup/id/ENSG00000141510?expand=1&content-type=application/json" \
| jq '{id, display_name, biotype, description, seq_region_name, start, end}'
# Resolve symbol to Ensembl ID
curl -s "https://rest.ensembl.org/lookup/symbol/homo_sapiens/TP53?content-type=application/json" \
| jq '{id, display_name}'
# Get sequence
curl -s "https://rest.ensembl.org/sequence/id/ENSG00000141510?type=genomic&content-type=application/json" \
| jq '.seq[:100]'
Ensembl VEP: Variant Annotation
# Annotate variant by rsID
curl -s "https://rest.ensembl.org/vep/human/id/rs56116432?content-type=application/json" \
| jq '.[0] | {most_severe_consequence, transcript_consequences: .transcript_consequences[:2]}'
# Annotate by HGVS notation (POST for batch)
curl -s -X POST "https://rest.ensembl.org/vep/human/hgvs" \
-H "Content-Type: application/json" \
-d '{"hgvs_notations": ["ENST00000366667:c.803C>T"]}' \
| jq '.[0].transcript_consequences[0] | {consequence_terms, sift_prediction, polyphen_prediction}'
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.
- 12d ago First seen · 134 lines · 101 tokens per session scan A 34c4a80c621a
lifesciences-genomics is a skill published in the GitHub repository donbr/lifesciences-research (7 stars, last pushed 9d ago), licensed MIT. It adds 101 tokens to every session and 1,573 once invoked, about $0.0005 per session on Opus 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 2026-08-31.
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