synthetic-sciences/openscience is an AI workbench that carries out scientific research by reading papers, forming hypotheses, writing and running code, conducting experiments, analyzing results, and preparing reports. Researchers use it for work in machine learning, biology, physics, and chemistry with remote or local models. Catalogue add-ons extend its scientific workflows through skills and instructions.
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 agentmods add skills/synthetic-sciences/openscience/clinpgx-databasenpx skills add synthetic-sciences/openscience --skill clinpgx-databasegit clone --depth 1 https://github.com/synthetic-sciences/openscienceWrote 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/synthetic-sciences/openscience/clinpgx-database)<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/clinpgx-database"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/clinpgx-database.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00045 | $0.05078 |
| Opus 5 | $0.00023 | $0.02539 |
| Sonnet 5 | $0.00009 | $0.01016 |
| Haiku 4.5 | $0.00005 | $0.00508 |
Grade A, and why
clinpgx-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 yesterday.
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.
response = requests.get("https://api.clinpgx.org/v1/gene/CYP2D6") Copies of this mod
7 near-identical copies found in the catalogue:
- clinpgx-database — 98% identical, 4 lines differ
- clinpgx-database — 98% identical, 7 lines differ
- clinpgx-database — 98% identical, 3 lines differ
- clinpgx-database — 89% identical, 6 lines differ
- clinpgx-database — 89% identical, 6 lines differ
- clinpgx-database — 89% identical, 6 lines differ
- clinpgx-database — 89% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 638 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ClinPGx Database
Overview
ClinPGx (Clinical Pharmacogenomics Database) is a comprehensive resource for clinical pharmacogenomics information, successor to PharmGKB. It consolidates data from PharmGKB, CPIC, and PharmCAT, providing curated information on how genetic variation affects medication response. Access gene-drug pairs, clinical guidelines, allele functions, and drug labels for precision medicine applications.
When to Use This Skill
This skill should be used when:
- Gene-drug interactions: Querying how genetic variants affect drug metabolism, efficacy, or toxicity
- CPIC guidelines: Accessing evidence-based clinical practice guidelines for pharmacogenetics
- Allele information: Retrieving allele function, frequency, and phenotype data
- Drug labels: Exploring FDA and other regulatory pharmacogenomic drug labeling
- Pharmacogenomic annotations: Accessing curated literature on gene-drug-disease relationships
- Clinical decision support: Using PharmDOG tool for phenoconversion and custom genotype interpretation
- Precision medicine: Implementing pharmacogenomic testing in clinical practice
- Drug metabolism: Understanding CYP450 and other pharmacogene functions
- Personalized dosing: Finding genotype-guided dosing recommendations
- Adverse drug reactions: Identifying genetic risk factors for drug toxicity
Installation and Setup
Python API Access
The ClinPGx REST API provides programmatic access to all database resources. Basic setup:
uv pip install requests
API Endpoint
BASE_URL = "https://api.clinpgx.org/v1/"
Rate Limits:
- 2 requests per second maximum
- Excessive requests will result in HTTP 429 (Too Many Requests) response
Authentication: Not required for basic access
Data License: Creative Commons Attribution-ShareAlike 4.0 International License
For substantial API use, notify the ClinPGx team at [email protected]
Core Capabilities
1. Gene Queries
What ships with it
2 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.
- yesterday First seen · 638 lines · 45 tokens per session scan A 56555fad2af3
clinpgx-database is a skill published in the GitHub repository synthetic-sciences/openscience (3,432 stars, last pushed yesterday), licensed Apache-2.0. It adds 45 tokens to every session and 5,078 once invoked, about $0.0002 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 2026-09-03.
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