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/mcp-engine-security-governance

Use when creating or changing RLS roles, role filters, OLS permissions, perspectives, allow/deny/confirm policy rules, PII or numeric masking, or audit logging and evidence export, and when deciding whether a request needs security enforcement or only curation. For first-time

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mcp-engine-public
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$ npx -y skills add maxanatsko/mcp-engine-public --skill mcp-engine-security-governance --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/mcp-engine-security-governance

Context preview

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Use when creating or changing RLS roles, role filters, OLS permissions, perspectives, allow/deny/confirm policy rules, PII or numeric masking, or audit logging and evidence export, and when deciding whether a request needs security enforcement or only curation. For first-time

SKILL.md

mcp-engine-security-governance.SKILL.md
name: mcp-engine-security-governance
description: Use when creating or changing RLS roles, role filters, OLS permissions, perspectives, allow/deny/confirm policy rules, PII or numeric masking, or audit logging and evidence export, and when deciding whether a request needs security enforcement or only curation. For first-time guided setup of policies, masking, and guardrails, use mcp-engine-onboarding.

PBI Security Governance

Security enforcement and governance through `manage_security`, `manage_policy`, and `manage_audit`. Keep curation separate from access control.

Start with the right category

  • Perspectives (`create_perspective`, `update_perspective`) are curation — they change what users see, not what they can access.
  • Roles, OLS, policies, masking, and audit are enforcement — fail closed by default unless the user explicitly changes that posture.
  • Confirm the current model with `manage_model_connection` `{ "operation": "get_current" }` and state the intended scope before modifying anything security-sensitive.

Branch by workflow

  • RLS and OLS: `manage_security` (`create_role`, `set_role_filters`, `set_role_permissions`) — read [security-roles-guide](references/security-roles-guide.md) first. For RLS, validate each affected role with `run_query` `{ "operation": "test_access", "query": "<small aggregate over the filtered data>", "spec": { "roles": ["<role>"] } }` (both `query` and `spec.roles` are required). For OLS, exercise every changed table or column directly under the affected principals and verify each expected allow or denial; use targeted `test_access` queries or a `manage_tests` `ols_validation` matrix. An unrelated aggregate is not OLS evidence.
  • Perspectives: [perspectives-guide](references/perspectives-guide.md) — when the user wants curated field visibility, not restricted access.
  • Policy rules and packs: `manage_policy` (`status`, `evaluate`, `put`, `packs_apply` with `dry_run: true` first) — [policy-guide](references/policy-guide.md). Prefer deny rules over `require_confirm` for high-risk operations; `require_confirm` is best-effort UX, not a portable control.
  • Masking: [pii-masking-guide](references/pii-masking-guide.md) for sensitive-value redaction and masking behavior.
  • Audit: [audit-logging-guide](references/audit-logging-guide.md) for durable trails, export verification, and integrity checks. Treat auditability as part of correctness for write and governance flows.

Guardrails

  • Confirm intent with the user before destructive or broad security changes.
  • Never present a perspective as protection; say explicitly when a request needs RLS or OLS instead.
  • Do not echo sensitive values, filter expressions over PII, or masked data in summaries, examples, or logs.

Report results

After security or governance work, report:

1. Roles, permissions, policies, or masking rules created or changed. 2. `test_access` or `ols_validation` results for each affected role, principal, and protected object. 3. Policy evaluation or dry-run outcomes before application. 4. The enforcement posture after the change — what is now denied, confirmed, masked, or audited.

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The SemanticOps MCP (formerly MCP Engine) is a Power BI tool that lets AI assistants like Claude interact with your Power BI models programmatically: read your model structure, run DAX queries, modify your semantic model, and perform advanced analytics - all through natural conversation.

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