mcp-engine-semantic-authoring

mcp-engine-semantic-authoring is a Data warehousing & modelling skill for AI agents, published by maxanatsko in the mcp-engine-public repository on GitHub. Skillspace rates mcp-engine-semantic-authoring C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Author and refine Power BI semantic layer logic. Use when creating or updating measures, calculation groups, named expressions, DAX UDFs, Power Query parameters, model properties, or semantic naming and style patterns, and when deciding between measures and calculated columns.

Grade
C
Quality
71 / 100
Safety
Passed
GitHub stars
252

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubmaxanatsko/mcp-engine-public

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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