Agent skill · Security

ddinter-database

Query DDInter drug-drug interactions via REST API (1.7M+ interactions, 2,400+ drugs). Search by drug name/ID for severity (major/moderate/minor), mechanisms, and clinical recommendations. No auth. For FDA labeling use dailymed-database; for pharmacogenomics use clinpgx-database.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill ddinter-database --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 29 KB
Bundled scripts: none
Path: skills/sciagent/ddinter-database/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# DDInter Drug-Drug Interaction Database ## Overview DDInter is an open, curated database of drug-drug interactions (DDIs) covering 2,400+ drugs and 1.7M+ pairwise interactions with structured severity levels (major, moderate, minor), mechanistic annotations, and clinical management recommendations. Access is provided via a JSON REST API at `https://ddinter.scbdd.com/api/` — no authentication or registration required. ## When to Use - Checking whether two co-administered drugs have a known interaction and its severity (major/moderate/minor) - Retrieving all known interactions for a given drug to support polypharmacy risk assessment - Identifying the mechanistic basis (pharmacokinetic vs. pharmacodynamic) of a drug-drug interaction - Screening a drug combination list for potential major interactions before clinical decision support - Building automated DDI checking pipelines for medication review or drug repurposing workflows - Analyzing the DDI network for a drug class (e.g., all major interactions for CYP3A4 substrates) - For FDA-approved drug labeling text (indications, dosage, contraindications) use `dailymed-database` - For pharmacogenomics interactions (CYP genotype-drug assoc

What's inside
Steps it walks through
  1. Overview
  2. When to Use
  3. Prerequisites
  4. Quick Start
  5. Core API
  6. Query 1: Search Drug by Name
  7. Query 2: Get All Interactions for a Drug
  8. Query 3: Get Interaction Details by Interaction ID
  9. Query 4: Check Interaction Between Two Specific Drugs
  10. Query 5: Filter Interactions by Severity Level
  11. Query 6: Polypharmacy Screening for a Drug List
  12. Query 7: Visualize Interaction Network
  13. Key Concepts
  14. Severity Classification
Commands it runs
pip install requests pandas matplotlib networkx
More from awesome-bio-agent-skills
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About this skill
What does the ddinter-database skill do?

Query DDInter drug-drug interactions via REST API (1.7M+ interactions, 2,400+ drugs). Search by drug name/ID for severity (major/moderate/minor), mechanisms, and clinical recommendations. No auth. For FDA labeling use dailymed-database; for pharmacogenomics use clinpgx-database.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill ddinter-database --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going