privgraph
Privacy and security annotation for Mermaid diagrams. Use this skill when: (1) a user shares or creates a Mermaid flowchart or sequence diagram and asks for privacy, security, or compliance review, (2) a user asks to annotate a diagram with data classifications, controls, trust boundaries, or compliance scope, (3) a user mentions 'privgraph', '@pg:', or 'risk-informed diagram', (4) a user asks about data flow risks, missing controls, or GDPR/HIPAA/PCI compliance gaps in an architecture diagram, (5) a user is writing a design doc with Mermaid diagrams and wants privacy/security feedback embedded in the diagram itself. Do NOT use for general Mermaid syntax help, diagram styling, or non-security topics.
Best use case
privgraph is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Privacy and security annotation for Mermaid diagrams. Use this skill when: (1) a user shares or creates a Mermaid flowchart or sequence diagram and asks for privacy, security, or compliance review, (2) a user asks to annotate a diagram with data classifications, controls, trust boundaries, or compliance scope, (3) a user mentions 'privgraph', '@pg:', or 'risk-informed diagram', (4) a user asks about data flow risks, missing controls, or GDPR/HIPAA/PCI compliance gaps in an architecture diagram, (5) a user is writing a design doc with Mermaid diagrams and wants privacy/security feedback embedded in the diagram itself. Do NOT use for general Mermaid syntax help, diagram styling, or non-security topics.
Teams using privgraph should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/privgraph/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How privgraph Compares
| Feature / Agent | privgraph | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Privacy and security annotation for Mermaid diagrams. Use this skill when: (1) a user shares or creates a Mermaid flowchart or sequence diagram and asks for privacy, security, or compliance review, (2) a user asks to annotate a diagram with data classifications, controls, trust boundaries, or compliance scope, (3) a user mentions 'privgraph', '@pg:', or 'risk-informed diagram', (4) a user asks about data flow risks, missing controls, or GDPR/HIPAA/PCI compliance gaps in an architecture diagram, (5) a user is writing a design doc with Mermaid diagrams and wants privacy/security feedback embedded in the diagram itself. Do NOT use for general Mermaid syntax help, diagram styling, or non-security topics.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# PrivGraph: Mermaid Security & Privacy Annotation PrivGraph annotates Mermaid diagrams with privacy and security metadata using comment-based directives, then evaluates configurable rules to surface control gaps. ## Core Workflow When a user presents a Mermaid diagram for privacy/security review: 1. **Parse** the diagram — identify nodes, edges, subgraphs, and any existing `@pg:` annotations 2. **Classify** — determine what data flows where (direct identifiers, health data, credentials, etc.) 3. **Annotate** — add `@pg:` directives as Mermaid comments for data classes, controls, boundaries, compliance 4. **Evaluate** — check the annotated diagram against the rule set (see `references/rules.yaml`) 5. **Report** — surface findings with severity, description, and remediation guidance When a user asks to create a new annotated diagram from scratch, follow steps 2–5 after helping them build the diagram. ## Annotation Syntax All annotations are Mermaid comments and do not affect rendering: ``` %% @pg:<directive> <target> <parameters> ``` ### Directives **`@pg:data-class`** — classify data on a flow ``` %% @pg:data-class A-->B DIRECT_ID, LOCATION ``` **`@pg:control`** — declare present or missing (`!`) controls on a node or flow ``` %% @pg:control UserDB encrypted-at-rest, access-controlled %% @pg:control UserDB !retention-policy %% @pg:control A-->B encrypted-in-transit ``` **`@pg:boundary`** — declare trust boundary crossing on a flow ``` %% @pg:boundary A-->B third-party ``` **`@pg:compliance`** — declare applicable compliance frameworks ``` %% @pg:compliance UserDB GDPR, CCPA ``` **`@pg:risk-accept`** — suppress a rule finding with justification ``` %% @pg:risk-accept Cache PG-003 "24hr TTL enforced at Redis level. Approved 2024-01-10" ``` **`@pg:meta`** — diagram-level metadata ``` %% @pg:meta owner "platform-team" %% @pg:meta system "checkout-service" %% @pg:meta reviewed "2024-01-15" ``` ### Data Classifications | Classification | Description | Examples | |---------------|-------------|----------| | `DIRECT_ID` | Direct identifiers | Names, emails, SSNs, phone numbers | | `INDIRECT_ID` | Indirect/pseudonymous identifiers | Opaque IDs, UUIDs, session tokens, pseudonyms | | `PHI` | Protected health information | EHR, Diagnoses, prescriptions, lab results | | `PCI` | Payment card data | Card numbers, CVVs | | `CREDENTIALS` | Authentication secrets | Passwords, API keys, tokens | | `BIOMETRIC` | Biometric data | Fingerprints, face data, voice prints | | `LOCATION` | Location data | GPS coordinates, IP-derived location | | `FINANCIAL` | Financial data | Bank accounts, transactions | | `SENSITIVE` | Other sensitive data | Catch-all for sensitive categories | | `PUBLIC` | Non-sensitive data | Public content, marketing copy | ### Controls `encrypted-at-rest`, `encrypted-in-transit`, `access-controlled`, `audit-logged`, `retention-policy`, `anonymized`, `minimized`, `consent-managed`, `dpa-in-place` Prefix with `!` to mark a control as explicitly missing. ### Boundaries `internal`, `third-party`, `cross-region`, `cross-cloud`, `public-internet`, `user-device` ### Compliance Frameworks `GDPR`, `CCPA`, `HIPAA`, `PCI-DSS`, `SOC2`, `FERPA` ## Rule Evaluation After annotating, evaluate the diagram against the rule set. Load `references/rules.yaml` for the full rule definitions. Here is the summary: | Rule | Sev | Trigger | |------|-----|---------| | PG-001 | HIGH | DIRECT_ID/INDIRECT_ID/PHI flow missing `encrypted-in-transit` | | PG-002 | HIGH | DIRECT_ID/INDIRECT_ID/PHI node missing `encrypted-at-rest` | | PG-003 | MED | Sensitive data node missing `retention-policy` | | PG-004 | HIGH | CREDENTIALS flow missing encryption | | PG-005 | CRIT | DIRECT_ID to `third-party` missing `dpa-in-place` | | PG-006 | HIGH | PHI to `third-party` boundary | | PG-007 | MED | `cross-region` flow missing compliance annotation | | PG-008 | HIGH | HIPAA-scoped flow missing `audit-logged` | | PG-009 | MED | GDPR-scoped node missing `retention-policy` | | PG-010 | LOW | Flow crosses boundary with no controls documented | | PG-011 | INFO | Node has zero controls documented | For each violation, check if a `@pg:risk-accept` suppresses it (matching target + rule ID). Suppressed findings should be noted but not reported as active violations. ## Reporting Format Present findings grouped by severity. Use this structure: ``` ## PrivGraph Review: [system name or file] ### Findings 🔴 **CRITICAL — PG-005: Direct Identifiers to Third Party Without DPA** Flow: UserSvc → Analytics DIRECT_ID is transferred to a third party without a documented DPA. → Add: `%% @pg:control Analytics dpa-in-place` 🟡 **HIGH — PG-001: Unencrypted Identifier Transfer** Flow: Mobile → API DIRECT_ID transferred without encryption in transit. → Add: `%% @pg:control Mobile-->API encrypted-in-transit` ### Summary X critical, Y high, Z medium | N findings suppressed by @pg:risk-accept ``` Always output the **complete annotated diagram** (original diagram with all `@pg:` annotations added) so the user can copy-paste it directly. ## Handling Ambiguity When data classifications are unclear from the diagram alone: - Ask the user what data flows through ambiguous edges - Default to the more sensitive classification when context suggests it - Flag uncertain classifications with a comment: `%% TODO: Confirm data classification for A-->B` When a diagram has no annotations yet, annotate it fully rather than just listing what's missing. Show the user what a complete annotation looks like. ## Supported Diagram Types - **Flowcharts**: `flowchart LR/TB/etc.` — nodes, edges, subgraphs all supported - **Sequence diagrams**: `sequenceDiagram` — participants map to nodes, messages map to edges, boxes map to subgraphs For annotation target syntax in sequence diagrams, use participant names: `%% @pg:data-class Client->>Server DIRECT_ID` ## Examples See `examples/flowchart-annotated.md` and `examples/sequence-annotated.md` for complete worked examples with annotations and findings.
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