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Operate & Automate · Prompt

Weekly action item digest

Overdue and upcoming action items grouped by owner, ready for Teams or Slack.

ControlMap
Requires MCPby Greg Brydon · Solutions Engineer

Needs an LLM client connected to ScalePad MCP — Claude Desktop, Cursor, Windsurf or similar. Without it the assistant cannot call the recipe's tools.

User prompt

Pull all open ControlMap action items across clients and build a weekly digest:
- Overdue items grouped by owner, oldest first
- Items due in the next 7 days
- Items with no owner or due date

Include the client, the related control and days overdue. Then draft a team message under 150 words highlighting the 3 items that most affect compliance. Text only; don't send it.

How to work with the ControlMap API (ScalePad MCP):
- Find the client with GET /controlmap/v1/clients/health and use its tenant ID (for example "dundmif") in every request. Some clients have no UUID.
- Send the header Content-Type: application/json on every POST, PUT and PATCH, including searches.
- Use page_size of 50 or less and follow next_cursor. The "fields" parameter is ignored, so responses are large.
- Judge controls by "status", not the "compliant" flag. Objective lists include sub-objectives, so take totals from objective_summary.
- Use framework-level scores and labels. The overall score_label on client health can be wrong.
- Older policy sections may be URL-encoded twice: decode them and use the highest version of each section.
- If a call returns 502 or fails to connect, wait a few seconds and retry once. If it still fails, tell me exactly which data is missing.

# Weekly action item digest

Hook: Overdue and upcoming action items grouped by owner, ready for Teams or Slack.

When to use it

Monday morning.

What you get

A digest by owner and a short team message.

Status

Tested against the ControlMap API on October 16, 2026. Only asks for what the API supports.

GBAuthorGreg BrydonSolutions Engineer · ScalePad

Recipes are starting points. Adapt them to your environment and validate the output before putting one into practice.

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