mcp-engine-ai-readines…
Use when preparing or assessing a Power BI semantic model for Copilot, Fabric data agents, or natural-language Q&A — clear…
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
$ npx -y skills add maxanatsko/mcp-engine-public --skill mcp-engine-security-governance --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/mcp-engine-security-governanceContext preview
The summary Claude sees to decide when to auto-load this skill.
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
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.
Security enforcement and governance through `manage_security`, `manage_policy`, and `manage_audit`. Keep curation separate from access control.
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.
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.
Use when preparing or assessing a Power BI semantic model for Copilot, Fabric data agents, or natural-language Q&A — clear…
Use when starting a SemanticOps MCP session, connecting to a Power BI model, checking the current connection, applying saved…
Use when a Power BI measure or query returns wrong values, unexpected blanks, inflated or duplicated totals, a total row that…
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Use when the user asks for a model audit, model quality review, scorecard, bad-practices or best-practices assessment, or a…
Use when a user types onboarding, asks to set up SemanticOps MCP, wants help choosing Free vs Pro, or wants licensing, modes,…