# Pediatric Drug Safety

> Pediatric Drug Safety Review - Evaluate pediatric drug safety: pediatric use info, child safety, dosage forms, and overdosage info from FDA. Use this skill for pediatric pharmacology tasks involving get pediatric use info by drug name get child safety info by drug name get dosage forms and strengths by drug name get overdosage info by drug name. Combines 4 tools from 1 SCP server(s).

- Skill: `internscience/pediatric-drug-safety` (Agent Skill)
- Install (CLI): `npx skillmds@latest add internscience/pediatric-drug-safety`
- Raw SKILL.md: https://api.skillmd.com/api/skills/internscience/pediatric-drug-safety/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: internscience (https://skillmd.com/u/internscience)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/internscience/pediatric-drug-safety

---


# Pediatric Drug Safety Review

**Discipline**: Pediatric Pharmacology | **Tools Used**: 4 | **Servers**: 1

## Description

Evaluate pediatric drug safety: pediatric use info, child safety, dosage forms, and overdosage info from FDA.

## Tools Used

- **`get_pediatric_use_info_by_drug_name`** from `fda-drug-server` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug`
- **`get_child_safety_info_by_drug_name`** from `fda-drug-server` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug`
- **`get_dosage_forms_and_strengths_by_drug_name`** from `fda-drug-server` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug`
- **`get_overdosage_info_by_drug_name`** from `fda-drug-server` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug`

## Workflow

1. Get pediatric use info
2. Get child safety info
3. Get dosage forms
4. Get overdosage info

## Test Case

### Input
```json
{
    "drug_name": "amoxicillin"
}
```

### Expected Steps
1. Get pediatric use info
2. Get child safety info
3. Get dosage forms
4. Get overdosage info

## Usage Example

> **Note:** Replace `<YOUR_SCP_HUB_API_KEY>` with your own SCP Hub API Key. You can obtain one from the [SCP Platform](https://scphub.intern-ai.org.cn).

```python
import asyncio
import json
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
from mcp.client.sse import sse_client

SERVERS = {
    "fda-drug-server": "https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug"
}

async def connect(url, transport_type):
    transport = streamablehttp_client(url=url, headers={"SCP-HUB-API-KEY": "<YOUR_SCP_HUB_API_KEY>"})
    read, write, _ = await transport.__aenter__()
    ctx = ClientSession(read, write)
    session = await ctx.__aenter__()
    await session.initialize()
    return session, ctx, transport

def parse(result):
    try:
        if hasattr(result, 'content') and result.content:
            c = result.content[0]
            if hasattr(c, 'text'):
                try: return json.loads(c.text)
                except: return c.text
        return str(result)
    except: return str(result)

async def main():
    # Connect to required servers
    sessions = {}
    sessions["fda-drug-server"], _, _ = await connect("https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug", "streamable-http")

    # Execute workflow steps
    # Step 1: Get pediatric use info
    result_1 = await sessions["fda-drug-server"].call_tool("get_pediatric_use_info_by_drug_name", arguments={})
    data_1 = parse(result_1)
    print(f"Step 1 result: {json.dumps(data_1, indent=2, ensure_ascii=False)[:500]}")

    # Step 2: Get child safety info
    result_2 = await sessions["fda-drug-server"].call_tool("get_child_safety_info_by_drug_name", arguments={})
    data_2 = parse(result_2)
    print(f"Step 2 result: {json.dumps(data_2, indent=2, ensure_ascii=False)[:500]}")

    # Step 3: Get dosage forms
    result_3 = await sessions["fda-drug-server"].call_tool("get_dosage_forms_and_strengths_by_drug_name", arguments={})
    data_3 = parse(result_3)
    print(f"Step 3 result: {json.dumps(data_3, indent=2, ensure_ascii=False)[:500]}")

    # Step 4: Get overdosage info
    result_4 = await sessions["fda-drug-server"].call_tool("get_overdosage_info_by_drug_name", arguments={})
    data_4 = parse(result_4)
    print(f"Step 4 result: {json.dumps(data_4, indent=2, ensure_ascii=False)[:500]}")

    # Cleanup
    print("Workflow complete!")

if __name__ == "__main__":
    asyncio.run(main())
```