semantic-model-authoring
semantic-model-authoring is a Data warehousing & modelling skill for AI agents, published by microsoft in the skills-for-fabric repository on GitHub. Skillspace rates semantic-model-authoring D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Manages Power BI semantic models, including tables, columns, measures, relationships, DAX authoring and tuning, Import, DirectQuery and Direct Lake designs, sources, connections, permissions, refresh, and deployment. Load this skill before acting on a semantic model, unless it is part of publishing a PBIP project, which powerbi-report-management owns. For natural-language data questions use fabriciq; for visuals use powerbi-report-authoring.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 1,148
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.
Our review
- Architecture
- 91 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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