fabric-dataflow

fabric-dataflow is a skill for Claude Code from wardawgmalvicious/agent-config. It costs 230 tokens per session (5,652 once invoked), scanned A, original, MIT.

A guide to Microsoft Fabric Dataflow Gen2 files and REST APIs. Microsoft Fabric is Microsoft's cloud service for working with data, and a dataflow moves, reshapes, and loads data without writing a full program.

In plain words
What is it for?
It helps inspect and edit Power Query definitions, query metadata, Mapping Data Flow transforms, and related Fabric item settings.
Why use it?
It explains the exact files, formats, API names, and limits needed to create or update these dataflows correctly through Git or REST.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit It helps inspect and edit Power Query definitions, query metadata, Mapping Data Flow transforms, and related Fabric item settings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wardawgmalvicious/agent-config/fabric-dataflow
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add wardawgmalvicious/agent-config --skill fabric-dataflow
Clone the repo
git clone --depth 1 https://github.com/wardawgmalvicious/agent-config

Made for: Claude Code.

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.

agentmods badge for fabric-dataflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/wardawgmalvicious/agent-config/fabric-dataflow/github.svg)](https://agentmods.dev/skills/wardawgmalvicious/agent-config/fabric-dataflow)
Your own site
<a href="https://agentmods.dev/skills/wardawgmalvicious/agent-config/fabric-dataflow"><img src="https://agentmods.dev/badge/skills/wardawgmalvicious/agent-config/fabric-dataflow/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.

agentmods 80×15 button for fabric-dataflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/wardawgmalvicious/agent-config/fabric-dataflow"><img src="https://agentmods.dev/badge/skills/wardawgmalvicious/agent-config/fabric-dataflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 230 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,652 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00230 $0.05652
Opus 5.5 $0.00092 $0.02261
Sonnet 5.5 $0.00046 $0.01130
Haiku 4.5 $0.00023 $0.00565

Measured 14d ago against content hash ad74bda13430, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fabric-dataflow 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 14d 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.

skills/fabric-engineering/fabric-dataflow/SKILL.md · 446 lines

How it starts

The opening of the file, as written. The whole thing — 446 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fabric Dataflow Gen2 (the Dataflow item)

Dataflow Gen2 is the Power Query item in Fabric Data Factory: a low-code transformation surface that ingests, reshapes and loads data without code. This skill covers the item as Git and REST see it — the files on disk, the API that writes them, and the limits that decide whether a design works.

The product name and the item type differ, and both are load-bearing. Everything a user types says Dataflow Gen2; the .platform file, the ItemType enum and the REST namespace all say Dataflow. The Git folder is <display name>.Dataflow.

"Gen2" no longer implies a choice. Since April 2026 the option to create a Dataflow Gen2 without CI/CD and Git support is gone, and every new item is created with it. Items created before that keep working, and the docs still split behaviour by which kind you have — so when a page says "applies to Dataflow Gen2 with CI/CD support", that is now the default case and the non-CI/CD case is legacy.

1. What is on disk

File Required Contents
mashup.pq yes The Power Query document — every query, as M
queryMetadata.json yes Query options: load flags, groups, connections, compute settings
<name>.mdf no A Mapping Data Flow transform; there can be several
.platform — Item metadata — displayName, logicalId

Serialization mechanics — EOF newlines, CRLF/LF, .gitattributes — are in the fabric-git-serialization rule, which globs this folder too. M style conventions are the coding-m rule's, which globs mashup.pq. Neither is restated here.

2. queryMetadata.json

{ "formatVersion": "202502", "name": "SampleDataflowGen",
  "computeEngineSettings": { "allowFastCopy": true, "maxConcurrency": 1 },
  "queriesMetadata": { "publicholidays": {
      "queryId": "…", "queryName": "publicholidays", "loadEnabled": true } },
  "connections": [ { "path": "Lakehouse", "kind": "Lakehouse",
      "connectionId": "{\"ClusterId\":\"…\",\"DatasourceId\":\"…\"}" } ] }

Read the full file on GitHub · 446 lines

Files

What ships with it

1 file 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.

  1. 14d ago Changed ad74bda13430
  2. 16d ago Changed · +3 lines 60f05b3a833a
  3. 19d ago Changed · +11 lines 745e3a8ad74a
  4. 1mo ago First seen · 432 lines · 230 tokens per session scan A 2bfab00de2dc

Subscribe to this mod's changes

fabric-dataflow is a skill published in the GitHub repository wardawgmalvicious/agent-config (1 stars, last pushed 9d ago), licensed MIT. It adds 230 tokens to every session and 5,652 once invoked, about $0.0009 per session on Opus 5.5. 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 2026-09-13.

Related

Other skills, from other repositories

c-sharp-scripting

Writing and executing C# scripts and macros against Power BI semantic models using Tabular Editor 2/3. Automatically invoke when the user mentions "C# script", "Tabular Editor script", "TOM scripting", "MacroActions.json", "XMLA", or asks to "automate model changes", "bulk update measures", "create calculation…

data-goblin/power-bi-agentic-development · 94 tokens

semantic-model

This skill should be used whenever the user mentions a "semantic model", "data model", or "dataset", or asks to "build", "model", "design", "optimize", "review", or "audit" one, or to "add a measure", "add a relationship", "create a role" / "set up RLS", "add a calculation group", "set up incremental refresh", "fix a…

data-goblin/power-bi-agentic-development · 184 tokens

power-query

Author, validate, and test Power Query M expressions in semantic model partitions. Automatically invoke when the user mentions "Power Query", "M code", "M expression", "partition expression", "query folding", or asks to "write Power Query", "fix Power Query", "test a partition", "preview partition data", "debug Power…

data-goblin/power-bi-agentic-development · 79 tokens

executing-spark

Execute arbitrary Python or PySpark code on Fabric Spark compute without creating a notebook artifact; ephemeral Livy sessions with full Delta table access. Automatically invoke when the user asks to "run PySpark in Fabric", "create a Livy session", "execute Python on Fabric compute", "run Spark without a notebook"…

data-goblin/power-bi-agentic-development · 86 tokens

microsoft-foundry

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent, managed harness agent, Copilot harness, voice agent…

microsoft/skills · 217 tokens

azure-ai-voicelive-ts

Azure AI Voice Live SDK for JavaScript/TypeScript. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots in Node.js or browser environments. Triggers: "voice live", "real-time voice"…

microsoft/skills · 102 tokens