lifesciences-research: Skill for Claude Code

.claude/skills/lifesciences-proteomics/SKILL.md

lifesciences-proteomics is a skill for Claude Code from donbr/lifesciences-research. It costs 98 tokens per session (1,526 once invoked), scanned A, original, MIT.

A command-line toolkit for looking up proteins and their relationships in UniProt, STRING, and BioGRID, which are public biology databases.

In plain words
What is it for?
Use it to find protein details and sequences, examine protein-protein or genetic interactions, run functional-enrichment analyses, and map identifiers across databases.
Why use it?
It avoids manually switching between protein databases and translating identifiers between them. It also provides direct queries for interaction networks and functional enrichment, which groups genes or proteins by shared biological functions.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is donbr/lifesciences-research's own configuration. It tells Claude Code how to work on lifesciences-research itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything lifesciences-research configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/donbr/lifesciences-research/main/.claude/skills/lifesciences-proteomics/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/donbr/lifesciences-research

Made for: Claude Code.

Wrote 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.

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README.md
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agentmods 80×15 button for lifesciences-proteomics

Your own site · 80×15
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Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,526 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00098 $0.01526
Opus 5 $0.00049 $0.00763
Sonnet 5 $0.00020 $0.00305
Haiku 4.5 $0.00010 $0.00153

Measured 12d ago against content hash d935672baa3a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

lifesciences-proteomics 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 protein databases (UniProt, STRING, BioGRID) via curl for protein lookups, protein-protein interactions, functional enrichment analysis, and cross-database ID mapping. This skill should be used when
.claude/skills/lifesciences-proteomics/SKILL.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Proteomics API Skills

Query protein databases directly via curl. These endpoints complement the Life Sciences MCPs.

Quick Reference

Task API Endpoint
Search proteins UniProt /uniprotkb/search
Get protein details UniProt /uniprotkb/{accession}
Batch ID mapping UniProt /idmapping/run
Protein interactions STRING /network
Functional enrichment STRING /enrichment
Genetic/physical interactions BioGRID /interactions

Curl Examples

UniProt: Protein Search & Retrieval

# Search for protein by gene name
curl -s "https://rest.uniprot.org/uniprotkb/search?query=gene:TP53+AND+organism_id:9606&format=json&size=3" \
  | jq '.results[:1][] | {accession: .primaryAccession, name: .proteinDescription.recommendedName.fullName.value}'

# Get protein by accession
curl -s "https://rest.uniprot.org/uniprotkb/P04637.json" \
  | jq '{accession: .primaryAccession, gene: .genes[0].geneName.value, function: .comments[] | select(.commentType=="FUNCTION") | .texts[0].value}'

# Get protein sequence (FASTA)
curl -s "https://rest.uniprot.org/uniprotkb/P04637.fasta"

# Search with field queries
curl -s "https://rest.uniprot.org/uniprotkb/search?query=reviewed:true+AND+organism_id:9606+AND+keyword:Apoptosis&format=json&size=5" \
  | jq '.results[] | {accession: .primaryAccession, gene: .genes[0].geneName.value}'

UniProt: Batch ID Mapping (Async)

# Submit ID mapping job
JOB_ID=$(curl -s "https://rest.uniprot.org/idmapping/run" \
  --form 'ids=P04637,P38398,P51587' \
  --form 'from=UniProtKB_AC-ID' \
  --form 'to=Ensembl' | jq -r '.jobId')

# Check job status
curl -s "https://rest.uniprot.org/idmapping/status/$JOB_ID"

# Get results (when complete)
curl -s "https://rest.uniprot.org/idmapping/results/$JOB_ID" | jq '.results'

STRING: Protein-Protein Interactions

# Get interaction network for proteins
curl -s "https://string-db.org/api/json/network?identifiers=TP53&species=9606&required_score=700&limit=10" \
  | jq '.[] | {proteinA: .preferredName_A, proteinB: .preferredName_B, score}'

# Network for multiple proteins
curl -s "https://string-db.org/api/json/network?identifiers=TP53%0dMDM2%0dATM&species=9606" \
  | jq '.[] | {A: .preferredName_A, B: .preferredName_B, score}'

# Get evidence scores breakdown
curl -s "https://string-db.org/api/json/network?identifiers=TP53&species=9606&required_score=900&limit=5" \
  | jq '.[] | {A: .preferredName_A, B: .preferredName_B, experimental: .escore, database: .dscore, textmining: .tscore}'

Read the full file on GitHub · 130 lines

Changes

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.

  1. 12d ago First seen · 130 lines · 98 tokens per session scan A d935672baa3a

Subscribe to this mod's changes

lifesciences-proteomics is a skill published in the GitHub repository donbr/lifesciences-research (7 stars, last pushed 9d ago), licensed MIT. It adds 98 tokens to every session and 1,526 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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