semantic-overlap-detection skillA
semantic-overlap-detection is agent-read markdown (skill) from fabioc-aloha/alex_skill_mall: Analyze a semantic model (via MCP or TMDL) to find columns whose value domains overlap, classify ambiguity types, generate proposed descriptions/rules/exclusions, and produce a review Excel for domain experts. Use when a semantic model has columns whose values overlap across tables or hierarchies, when Copilot picks the wrong column for ambiguous queries, when preparing a model for Prep data for AI, or when auditing a model for attribute collisions before connecting a data agent..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Semantic Overlap Detection Analyze a semantic model (via MCP connection or TMDL export) to find columns whose value domains overlap, classify ambiguity types, generate proposed fixes, and produce a review Excel workbook for domain expert review. This skill covers the full analysis pipeline through Excel generation and async handoff. **Next step after this skill**: Once the domain expert has reviewed the Excel, use the **semantic-disambiguation** skill to apply approved changes to the live model. ## When to Use - A semantic model has multiple columns that could plausibly match the same natural-language query - A Fabric data agent or Copilot is silently picking the wrong column - You need to prepare a model for the "Prep data for AI" workflow - You want to audit a TMDL export for disambiguation gaps before connecting a data agent ## Procedure ### Phase 0: Read Model Metadata via MCP (preferred) or TMDL files …
Read the whole file at its exact version.
How to install
mdr add fabioc-aloha/alex_skill_mall/semantic-overlap-detection@git:20260728.80a7ab6mdr add fabioc-aloha/alex_skill_mall/semantic-overlap-detection@sha256:5ef274db189f0b70Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_l6v4tqukfklaflfx)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (28012 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
fabioc-aloha/alex_skill_mall · 4 stars · license MIT · pushed 2026-09-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_l6v4tqukfklaflfx GET https://markdownregistry.com/api/v1/resolve?ref=fabioc-aloha/alex_skill_mall/semantic-overlap-detection GET https://markdownregistry.com/api/v1/blob/5ef274db189f0b7098b05b8ecd964042e5b6678861e5c5a0c42ec387b765ed68
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.