Agent skill · Documentation

cadec-query

Query the CADEC (CSIRO Adverse Drug Event Corpus). Use whenever the user asks about adverse drug event mentions in consumer health text, entity annotations from patient forum posts, MedDRA/SNOMED-CT normalised ADR spans, or wants to look up drugs, symptoms, or coded entities in the CADEC corpus.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill cadec --agent claude-code

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

Facts
Files in the skill folder: 6
SKILL.md size: 2 KB
Bundled scripts: yes
Path: skills/drugclaw/cadec/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

# CADEC Query Skill Search CADEC annotated patient forum posts by any entity. Auto-detects type: | Input Pattern | Detected As | Match Logic | |---|---|---| | `10019211` (8 digits) | MedDRA code | exact on normalizations.code | | `22253000` (6-18 digits) | SNOMED CT code | exact on normalizations.code | | anything else | free text | substring on entity text, type, or doc_id | ## API | Function | Input | Returns | |---|---|---| | `load_cadec(path)` | JSON path | list[dict] (cached) | | `search(entity)` | single entity string | list[dict] | | `search_batch(entities)` | list of entity strings | dict[str, list[dict]] | | `summarize(hits, entity)` | hits + label | compact text | | `to_json(hits)` | list[dict] | same list (JSON-ready) | ## Entity Types in Corpus | Type | Description | |---|---| | ADR | Adverse Drug Reaction | | Drug | Medication mention | | Disease | Pre-existing condition | | Symptom | Patient-reported symptom | | Finding | Clinical finding | ## Usage See `if __name__ == "__main__"` block in `34_CADEC.py` for runnable examples: drug name search, ADR text search, MedDRA code lookup, batch search, JSON output. ## Data - **Source**: CADEC v2, CSIRO (AskaPatient.com forum p

What's inside
Steps it walks through
  1. API
  2. Entity Types in Corpus
  3. Usage
  4. Data
Ships with 5 files
  • README.md
  • __init__.py
  • cadec_skill.py
  • example.py
  • retrieve.py
More from awesome-bio-agent-skills
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About this skill
What does the cadec-query skill do?

Query the CADEC (CSIRO Adverse Drug Event Corpus). Use whenever the user asks about adverse drug event mentions in consumer health text, entity annotations from patient forum posts, MedDRA/SNOMED-CT normalised ADR spans, or wants to look up drugs, symptoms, or coded entities in the CADEC corpus.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill cadec --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