Agent skill · Content & Marketing

psytar-query

Query the PsyTAR psychiatric adverse-reaction corpus. Use when the user asks about patient-reported ADRs, withdrawal symptoms, drug indications, or effectiveness for Zoloft, Lexapro, Cymbalta, or Effexor XR. Accepts drug names (brand or generic), symptom terms, or UMLS CUIs.

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

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

Facts
Files in the skill folder: 6
SKILL.md size: 4 KB
Bundled scripts: yes
Path: skills/drugclaw/psytar/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

# PsyTAR Query Skill 891 patient reviews → 6 009 annotated sentences → extracted ADR / WD / SSI / DI entities → mapped to 918 UMLS + 755 SNOMED CT concepts. ## Entity Detection & Routing | Input Pattern | Detected As | Targets | |---|---|---| | `C0917801` | UMLS CUI | `*_Mapped` sheets only (UMLS1/UMLS2 cols) | | `Zoloft` / `sertraline` | Drug name | `drug_id` or `drug` columns (alias-aware) | | `nausea`, `insomnia` … | Free text | substring across all cell values | Generic ↔ brand aliases: sertraline↔Zoloft, escitalopram↔Lexapro, duloxetine↔Cymbalta, venlafaxine↔Effexor. ## API | Function | Input | Returns | |---|---|---| | `search(entity, sheet?, label?)` | single string | `{sheet: [row_dict]}` | | `search_batch(entities, sheet?, label?)` | list of strings | `{entity: {sheet: [row_dict]}}` | | `summarize(results, entity)` | result dict + label | compact text | | `to_json(results)` | result dict | `list[dict]` (flat, adds `_sheet`) | | `describe()` | — | dataset overview text | ### Parameters - **`sheet`** — restrict to one sheet (fuzzy-matched: `"ADR"` → `ADR_Identified`). - **`label`** — when on `Sentence_Labeling`, keep only rows where the named label column (ADR / WD / EF / IN

What's inside
Steps it walks through
  1. Entity Detection & Routing
  2. API
  3. Parameters
  4. Sheet Schema
  5. Mapped-sheet qualifier columns
  6. Usage
  7. Data Source
Ships with 5 files
  • README.md
  • __init__.py
  • example.py
  • psytar_skill.py
  • retrieve.py
More from awesome-bio-agent-skills
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About this skill
What does the psytar-query skill do?

Query the PsyTAR psychiatric adverse-reaction corpus. Use when the user asks about patient-reported ADRs, withdrawal symptoms, drug indications, or effectiveness for Zoloft, Lexapro, Cymbalta, or Effexor XR. Accepts drug names (brand or generic), symptom terms, or UMLS CUIs.

How do I install it?

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