lifesciences-research: Skill for Claude Code

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

lifesciences-pharmacology is a skill for Claude Code from donbr/lifesciences-research. It costs 101 tokens per session (2,338 once invoked), scanned A, original, MIT.

A collection of commands for querying drug and pharmacology databases such as ChEMBL, PubChem, DrugBank, and IUPHAR. These databases contain information about compounds, drug targets, activity, and indications.

In plain words
What is it for?
It helps search compounds, retrieve chemical properties and structures, investigate drug mechanisms and indications, and find ligand–target interactions.
Why use it?
It provides direct database queries for drug research instead of requiring each source to be searched manually.

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-pharmacology/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.

agentmods badge for lifesciences-pharmacology

README.md
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Your own site
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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.

agentmods 80×15 button for lifesciences-pharmacology

Your own site · 80×15
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Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,338 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 warn 7 Sept 2026
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 144
    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.
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 $0.00101 $0.02338
Opus 5 $0.00051 $0.01169
Sonnet 5 $0.00020 $0.00468
Haiku 4.5 $0.00010 $0.00234

Measured 12d ago against content hash 91cad482d321, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

lifesciences-pharmacology 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 pharmacology databases (ChEMBL, PubChem, DrugBank, IUPHAR) via curl for drug mechanisms, target identification, bioactivity profiling, and indication discovery. This skill should be used when the us
.claude/skills/lifesciences-pharmacology/SKILL.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pharmacology API Skills

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

Quick Reference

Task API Endpoint
Search compounds ChEMBL /molecule/search
Drug mechanism ChEMBL /mechanism
Drug indications ChEMBL /drug_indication
Bioactivity data ChEMBL /activity
Compound properties PubChem /compound/name/{name}/property
Ligand-target IUPHAR /interactions

Curl Examples

ChEMBL: Compound Search & Details

# Search compound by name
curl -s "https://www.ebi.ac.uk/chembl/api/data/molecule/search?q=venetoclax&format=json" \
  | jq '.molecules[:1][] | {chembl_id: .molecule_chembl_id, name: .pref_name, max_phase: .max_phase}'

# Get compound by ChEMBL ID
curl -s "https://www.ebi.ac.uk/chembl/api/data/molecule/CHEMBL3137309?format=json" \
  | jq '{id: .molecule_chembl_id, name: .pref_name, formula: .molecule_properties.full_molformula, mw: .molecule_properties.full_mwt}'

# Get SMILES structure
curl -s "https://www.ebi.ac.uk/chembl/api/data/molecule/CHEMBL3137309?format=json" \
  | jq '.molecule_structures.canonical_smiles'

ChEMBL: Drug Mechanisms (Critical for Graph Edges!)

# Get mechanism for drug (Drug → Target edge)
curl -s "https://www.ebi.ac.uk/chembl/api/data/mechanism?molecule_chembl_id=CHEMBL3137309&format=json" \
  | jq '.mechanisms[] | {action: .action_type, mechanism: .mechanism_of_action, target_id: .target_chembl_id}'

# Reverse: Find all drugs for target (Target → Drugs edge)
curl -s "https://www.ebi.ac.uk/chembl/api/data/mechanism?target_chembl_id=CHEMBL4860&format=json" \
  | jq '.mechanisms[] | {drug_id: .molecule_chembl_id, action: .action_type, mechanism: .mechanism_of_action}'

ChEMBL: Drug Indications

# Get indications for drug (Drug → Disease edge)
curl -s "https://www.ebi.ac.uk/chembl/api/data/drug_indication?molecule_chembl_id=CHEMBL3137309&format=json" \
  | jq '.drug_indications[:5][] | {disease: .mesh_heading, efo: .efo_term, phase: .max_phase_for_ind}'

Read the full file on GitHub · 195 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 · 195 lines · 101 tokens per session scan A 91cad482d321

Subscribe to this mod's changes

lifesciences-pharmacology 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 2,338 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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