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-pharmacology/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-pharmacology)<a href="https://agentmods.dev/skills/donbr/lifesciences-research/lifesciences-pharmacology"><img src="https://agentmods.dev/badge/skills/donbr/lifesciences-research/lifesciences-pharmacology/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-pharmacology"><img src="https://agentmods.dev/badge/skills/donbr/lifesciences-research/lifesciences-pharmacology.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 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.
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 | $0.02338 |
| Opus 5 | $0.00051 | $0.01169 |
| Sonnet 5 | $0.00020 | $0.00468 |
| Haiku 4.5 | $0.00010 | $0.00234 |
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 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}'
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 · 195 lines · 101 tokens per session scan A 91cad482d321
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.
Other skills, from other repositories
molecular-rag
Retrieve structurally similar compounds with known properties from ChEMBL/ZINC to ground predictions and inform optimization. Based on MolRAG (Xian 2025, ACL).
chembl-query
Query ChEMBL database for bioactivity data on drug-like compounds. Use this skill when: (1) Finding compounds active against a protein target (target-based search), (2) Getting bioactivity profile for a molecule (molecule-based search), (3) Finding drugs for a disease indication (indication-based search).
by-scoring
Interpret and apply BY custom scoring metrics for protein and antibody design. This skill covers ipSAE (interface Predicted Structural Accuracy Error) — the primary custom metric that differentiates BY from generic structure prediction tools — along with ipTM, pLDDT, RMSD, liability scoring, and the BY composite…
by-screening
Comprehensive screening battery for evaluating protein binder and antibody designs produced by PXDesign and BoltzGen. This skill encodes all quality filters, scoring thresholds, liability checks, and developability assessments used to triage designs before experimental validation.
by-campaign-manager
Plan, execute, monitor, and assess protein/antibody design campaigns. This skill governs how to size a campaign, track run state, coordinate multi-run efforts, estimate cost and time on each compute target (local GPU, HPC, Tamarind), monitor progress, and evaluate campaign health.
by-design-workflow
Skill "by-design-workflow" from 001TMF/blatant-why, covering by design workflow — master orchestration skill, when to use this skill, inputs, outputs and clarification questions.