What is semantic-model?

A guide for creating and changing Power BI semantic models with TMDL, a text format for describing the model behind reports. It covers tables, columns, relationships, hierarchies, data sources, partitions, and model settings.

Use it to create tables and columns, connect tables, add hierarchies, configure data sources and partitions, and set Power BI model properties.

It makes model structure changes explicit and editable as text instead of requiring every change to be made through a graphical interface.

How kpbray/power-bi-agent-skills configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to kpbray/power-bi-agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/kpbray/power-bi-agent-skills/master/.github/skills/semantic-model/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/kpbray/power-bi-agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/kpbray/power-bi-agent-skills/semantic-model/github.svg)](https://agentmods.dev/skills/kpbray/power-bi-agent-skills/semantic-model)

Your own site

<a href="https://agentmods.dev/skills/kpbray/power-bi-agent-skills/semantic-model"><img src="https://agentmods.dev/badge/skills/kpbray/power-bi-agent-skills/semantic-model/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/kpbray/power-bi-agent-skills/semantic-model"><img src="https://agentmods.dev/badge/skills/kpbray/power-bi-agent-skills/semantic-model.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,210 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00028	$0.02210
Opus 5	$0.00014	$0.01105
Sonnet 5	$0.00006	$0.00442
Haiku 4.5	$0.00003	$0.00221

Measured 11d ago against content hash f0c21b2d308a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

semantic-model scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.github/skills/semantic-model/SKILL.md · 361 lines

How it starts

The opening of the file, as written. The whole thing — 361 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Semantic Model Skill

This skill helps create and modify Power BI semantic models using TMDL (Tabular Model Definition Language) format.

When to Use This Skill

Creating new tables with columns
Defining relationships between tables
Adding hierarchies to tables
Configuring data sources and partitions
Setting model properties (culture, compatibility level)
Applying Tabular Editor patterns

TMDL Syntax Overview

TMDL uses indentation-based syntax (tabs, not spaces) with these key constructs:

Tables

table Sales
	lineageTag: a1b2c3d4-e5f6-7890-abcd-ef1234567890

	column 'Sales Amount'
		dataType: decimal
		formatString: "$#,##0.00"
		summarizeBy: sum
		lineageTag: b2c3d4e5-f6a7-8901-bcde-f12345678901

	column 'Order Date'
		dataType: dateTime
		formatString: Short Date
		lineageTag: c3d4e5f6-a7b8-9012-cdef-123456789012

	partition Sales = m
		mode: import
		source =
			let
			    Source = Sql.Database("server", "database"),
			    Sales = Source{[Schema="dbo",Item="Sales"]}[Data]
			in
			    Sales

Columns

column 'Column Name'
	dataType: <type>
	formatString: <format>
	summarizeBy: <aggregation>
	isHidden
	lineageTag: <guid>

	annotation SummarizationSetBy = Automatic

Data Types:

string - Text values
int64 - Whole numbers
decimal - Fixed decimal numbers
double - Floating point numbers
dateTime - Date and time values
boolean - True/False values
binary - Binary data

Summarize By:

none - No aggregation (for dimensions)
sum - Sum values
count - Count rows
min - Minimum value
max - Maximum value
average - Average value

Measures

/// Description of the measure
/// Appears as tooltip in Power BI
measure 'Total Sales' =
	SUM(Sales[Sales Amount])
	formatString: "$#,##0.00"
	displayFolder: Revenue
	lineageTag: d4e5f6a7-b8c9-0123-def0-234567890123

Calculated Columns

column 'Profit Margin' =
	DIVIDE(Sales[Profit], Sales[Revenue], 0)
	dataType: double
	formatString: "0.00%"
	lineageTag: e5f6a7b8-c9d0-1234-ef01-345678901234

Read the full file on GitHub · 361 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

11d ago First seen · 361 lines · 28 tokens per session scan A f0c21b2d308a

Subscribe to this mod's changes

semantic-model is a skill published in the GitHub repository kpbray/power-bi-agent-skills (9 stars, last pushed 7mo ago), licensed MIT. It adds 28 tokens to every session and 2,210 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Analytics and metrics

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

power-bi-agent-skills: Skill for Claude Code