How do I install the Unitox Query skill?

Run npx skillmds@latest add gabrielmoreira/unitox-query in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Unitox Query safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Unitox Query?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Unitox Query free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Unitox Query?

gabrielmoreira (@gabrielmoreira) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Unitox Query by gabrielmoreira — Agent Skill

Name: Unitox Query
Rating: 4.5 (4 reviews)
Author: gabrielmoreira

Unitox Query

Query the UniTox drug toxicity database. Use whenever the user asks about organ-system toxicity ratings for a drug, multi-organ toxicity profiles, or wants to look up any entity (drug name, SMILES, SPL_ID) in UniTox.

gabrielmoreira Updated Sep 9, 2026 17 repo stars

File contents

UniTox Query Skill

Search UniTox records by any entity. Auto-detects type by pattern:

Input Pattern	Detected As	Match Logic
`b2b3be70-17d8-...` (UUID)	SPL_ID	exact on `SPL_ID`
long string with `=`, `[`, `]`, `@`	SMILES	exact on `smiles` / `all_smiles`
anything else	free text	case-insensitive substring on `generic_name`

API

Function	Input	Returns
`load_unitox(path)`	TSV 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 ratings-only text
`summarize_with_reasoning(hits, entity, systems)`	hits + label + organ list	text with truncated reasoning
`to_json(hits)`	hits	list[dict] (ratings + metadata)
`list_drugs()`	–	sorted list of all drug names

Toxicity Systems (8 organs)

Each drug has ternary rating (No / Low / High) and binary rating (Yes / No) for:

System key	Organ
`cardiotoxicity`	Heart
`dermatological_toxicity`	Skin
`hematological`	Blood
`infertility`	Reproductive
`liver_toxicity`	Liver
`ototoxicity`	Ear / Hearing
`pulmonary_toxicity`	Lung
`renal_toxicity`	Kidney

Usage

See if __name__ == "__main__" block in 28_UniTox.py for runnable examples covering: single drug name search, batch search, JSON output, detailed reasoning for specific organ systems, and total drug count.

Data

Source: UniTox v1 from Zenodo (https://zenodo.org/records/11627822)
Paper: https://doi.org/10.1101/2024.06.21.24309315
Format: CSV or TSV (delimiter auto-detected from header line)
Columns: generic_name, 8 × (*_reasoning, *_ternary_rating, *_binary_rating), smiles, all_smiles, SPL_ID
Path: DATA_PATH variable in 28_UniTox.py
Method: GPT-4o extraction from FDA drug labels; 85–96% clinician concordance

---name: unitox-querydescription: Query the UniTox drug toxicity database. Use whenever the user asks about organ-system toxicity ratings for a drug, multi-organ toxicity profiles, or wants to look up any entity (drug name, SMILES, SPL_ID) in UniTox.--- # UniTox Query Skill Search UniTox records by any entity. Auto-detects type by pattern: | Input Pattern | Detected As | Match Logic | |---|---|---| | `b2b3be70-17d8-...` (UUID) | SPL_ID | exact on `SPL_ID` | | long string with `=`, `[`, `]`, `@` | SMILES | exact on `smiles` / `all_smiles` | | anything else | free text | case-insensitive substring on `generic_name` | ## API | Function | Input | Returns | |---|---|---| | `load_unitox(path)` | TSV 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 ratings-only text | | `summarize_with_reasoning(hits, entity, systems)` | hits + label + organ list | text with truncated reasoning | | `to_json(hits)` | hits | list[dict] (ratings + metadata) | | `list_drugs()` | – | sorted list of all drug names | ## Toxicity Systems (8 organs) Each drug has ternary rating (`No` / `Low` / `High`) and binary rating (`Yes` / `No`) for: | System key | Organ | |---|---| | `cardiotoxicity` | Heart | | `dermatological_toxicity` | Skin | | `hematological` | Blood | | `infertility` | Reproductive | | `liver_toxicity` | Liver | | `ototoxicity` | Ear / Hearing | | `pulmonary_toxicity` | Lung | | `renal_toxicity` | Kidney | ## Usage See `if __name__ == "__main__"` block in `28_UniTox.py` for runnable examples covering: single drug name search, batch search, JSON output, detailed reasoning for specific organ systems, and total drug count. ## Data - **Source**: UniTox v1 from Zenodo (https://zenodo.org/records/11627822) - **Paper**: https://doi.org/10.1101/2024.06.21.24309315 - **Format**: CSV or TSV (delimiter auto-detected from header line) - **Columns**: `generic_name`, 8 × (`*_reasoning`, `*_ternary_rating`, `*_binary_rating`), `smiles`, `all_smiles`, `SPL_ID` - **Path**: `DATA_PATH` variable in `28_UniTox.py` - **Method**: GPT-4o extraction from FDA drug labels; 85–96% clinician concordance

Frequently asked questions