# CDISC CORE

> Use this tool when you need to validate clinical datasets against CDISC standards, such as SDTM, ADaM, and SEND, to ensure data quality and conformance. It supports multiple file formats, including XPT, JSON, NDJSON, and XLSX, and provides access to a comprehensive rules engine with over 981 validation rules. Ideal for clinical data managers and researchers who require robust data validation workflows to ensure compliance with regulatory standards.

Canonical page: https://skillsregistry.net/skills/kusy2009-cdisc-core  
JSON: https://api.skillsregistry.net/v1/skills/kusy2009-cdisc-core

## Description

Provides access to the CDISC CORE Rules Engine for clinical data validation workflows. Supports validating datasets in XPT, JSON, NDJSON, and XLSX formats against CDISC conformance rules covering SDTM, ADaM, and SEND standards. Offers tools to browse and filter 981+ validation rules by standard, version, and authority, inspect individual rule details, list supported standards and controlled terminology packages, and manage engine updates.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kusy2009-cdisc-core)
- **Repository:** <https://github.com/kusy2009/core-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kusy2009-cdisc-core"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kusy2009-cdisc-core` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kusy2009-cdisc-core/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
