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データ・研究 · SKILL.md

grc-data-flow-diagram

grc-data-flow-diagram

Use when creating a draw.io diagram for regulated data flows, data classifications, storage, processing, transfer, access, retention, and logging in a GRC, security, audit, compliance, privacy, cloud, or risk context.

Independent GitHub snapshot · Automated classification · Original documentation governs

スキルの説明

GitHub

name: grc-data-flow-diagram description: Use when creating a draw.io diagram for regulated data flows, data classifications, storage, processing, transfer, access, retention, and logging in a GRC, security, audit, compliance, privacy, cloud, or risk context. allowed-tools: Write, Bash, Read, WebFetch

GRC regulated data flow diagram

Use this skill to structure the GRC content and visual pattern for regulated data flows, data classifications, storage, processing, transfer, access, retention, and logging. Then use the drawio skill to generate the native editable .drawio file and optional PNG/SVG/PDF export.

Common Requests

  • customer data through SaaS
  • HIPAA ePHI flow
  • CMMC/FedRAMP CUI flow
  • PCI CHD flow

Recommended Elements

Include these when relevant:

  • actors
  • data classes
  • systems
  • stores
  • flows
  • boundaries
  • retention
  • encryption
  • access
  • logging

Recommended Output Pattern

Produce a Data flow diagram with trust-boundary and classification overlays. Choose a layout that matches the audience:

  • Executive: compact lifecycle/capability view with business impact labels.
  • Auditor/assessor: explicit evidence, owner, control, cadence, and scope labels.
  • Practitioner/engineering: operational systems, data paths, automation, failure/exception paths, and implementation detail.

draw.io Instructions

  1. Load and follow the drawio skill.
  2. Generate native mxGraphModel XML directly. Do not generate Mermaid as the final artifact.
  3. Use descriptive lowercase hyphenated filenames.
  4. Include a legend when colors, edge styles, or containers have compliance meaning.
  5. Validate XML well-formedness before finalizing.
  6. If PNG/SVG/PDF is requested, export with embedded diagram XML when the draw.io CLI is available.

Visual Conventions

  • Blue: systems, platforms, services, and automated collectors.
  • Green: implemented controls, approvals, validated evidence, and compliant outcomes.
  • Orange/red: risks, findings, exceptions, overdue items, gaps, and failed controls.
  • Gray: manual tasks, external parties, optional steps, and out-of-scope areas.
  • Dashed containers: audit scope, trust boundaries, authorization boundary, or responsibility boundary.
  • Solid edges: primary process or system flow.
  • Dashed edges: evidence or attestation flow.
  • Dotted edges: optional, manual, exception, or escalation flow.

Quality Bar

  • Make ownership explicit.
  • Label regulated data, control IDs, frameworks, and evidence repositories when known.
  • Show decision criteria where the process branches.
  • Avoid generic boxes like "Compliance" without a role, system, artifact, or action.
  • Prefer editable source of truth over screenshots.
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