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How to load the controls into your GRC tooling with Agentbaseline

Parse the YAML source of truth to import outcomes and controls into your own systems.

Short answer: Clone the repo; then read whitepaper/controls.yaml; Map id, outcome, type and status fields to your tool. All steps.

Who it is forA GRC engineer automating control tracking.

The problemCopying controls from a PDF is error-prone.

The outcomeControls imported with ids, outcomes, types and status.

What you need first

  • Python 3 to build the figures

Steps

  1. Clone the repo
  2. Read whitepaper/controls.yaml
  3. Map id, outcome, type and status fields to your tool
  4. Re-import when versions change

Prompt for your agent

Parse whitepaper/controls.yaml from agentbaseline and output CSV rows of id, outcome, title, type and status. Confirm 35 controls were parsed.

Caveat. Check VERSIONING.md before citing identifiers externally.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for agentbaseline/agentbaseline and "Load the controls into your GRC tooling"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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