powerbi-spark-livy SKILL.md skillA

powerbi-spark-livy from santoshkanthety/powerbi-agent is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add santoshkanthety/powerbi-agent/powerbi-spark-livy@git:20261005.504c1f5

Pins git:20261005.504c1f5 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
santoshkanthety/powerbi-agent
Path
skills/powerbi-spark-livy/SKILL.md
Versions recorded
1
Latest version
git:20261005.504c1f5, committed Oct 5, 2026
Size
7,438 bytes
Repository stars
3
License
MIT

Execute PySpark or Python on Fabric Spark compute through the Livy API without creating a notebook artifact — ephemeral sessions, Delta table read/write in a lakehouse, batch job submission, and the token and lifecycle rules that keep sessions from leaking capacity. Use when the user mentions: Livy, Livy API, run PySpark in Fabric, execute Python on Fabric compute, Spark without a notebook, ephemeral Spark session, submit code to Fabric Spark, Spark session state, livyapi, Spark batch job…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Executing Spark on Fabric without a notebook

The Livy endpoint on a Fabric lakehouse runs arbitrary PySpark or Python on Fabric Spark
compute as an **ephemeral session** — no notebook artifact is created, nothing is persisted
in the workspace, and the session is yours to delete. It is the right tool for profiling a
Delta table, checking a silver-layer row count, validating a transform before it becomes a
pipeline, or answering "is the data even there" without leaving a notebook behind in a
governed workspace.

It is the wrong tool for anything scheduled or reviewed. If the code should run again
tomorrow, it belongs in a notebook or a Spark job definition under source control —
`powerbi-fabric-pipelines`.

## Prerequisites

| Requirement | Check |
|---|---|
| Azure CLI signed in | `az account show` |
| A lakehouse in the target workspace | the session runs against it; `fab ls "<ws>.Workspace"` |
| Fabric capacity (F SKU or trial) | Spark draws CU — see below |
| Workspace Contributor or above | session creation is a write operation |

## Authentication — the one thing people get wrong

The Livy API needs a token scoped to the Fabric service, acquired through Azure CLI:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add santoshkanthety/powerbi-agent/powerbi-spark-livy@sha256:7963863aaa511bbc

The line at the top of this page pins the label git:20261005.504c1f5, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_44tykkwl32u2kcz5.svg)](https://markdownregistry.com/a/art_44tykkwl32u2kcz5)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 5, 2026.

versioncommittedcommitsizeaudit
git:20261005.504c1f5 latest2026-10-05 504c1f5 7,438 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7438 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

GitHub

santoshkanthety/powerbi-agent · 3 stars · license MIT · pushed 2026-10-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_44tykkwl32u2kcz5
GET https://markdownregistry.com/api/v1/resolve?ref=santoshkanthety/powerbi-agent/powerbi-spark-livy
GET https://markdownregistry.com/api/v1/blob/7963863aaa511bbc92e22e02945e1f0c9d7de940bbe9ba14e87902c29b8c8b02

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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