spark-cli

spark-cli is a skill for Claude Code from microsoft/skills-for-fabric. It costs 94 tokens per session (2,380 once invoked), scanned A, original, MIT.

A command-line guide for working with Spark in Microsoft Fabric. Fabric Spark runs data-processing code in notebooks and supports SQL, PySpark, notebook utilities, named runs, and Materialized Lake Views, which are stored query results that can be refreshed.

In plain words
What is it for?
Use it to write notebook cells, configure or run notebooks, manage Livy sessions, investigate failed Spark jobs, or create, refresh, schedule, and monitor Materialized Lake Views.
Why use it?
It keeps notebook execution, failed or out-of-memory runs, pipeline Spark jobs, and Materialized Lake View work in one documented workflow.

Skill for Claude Code ✓ vendor

Written for Claude Code: shipped in a Claude Code plugin.

Part of the fabric-skills plugin — 25 skills shipped together

Good fit Use it to write notebook cells, configure or run notebooks, manage Livy sessions, investigate failed Spark jobs, or create, refresh, schedule, and monitor Materialized Lake Views.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/microsoft/skills-for-fabric/spark-cli
About the project

Microsoft Fabric Skills is a collection of reusable instructions and MCP systems that help AI assistants work with Microsoft Fabric workloads, APIs, queries, and operations. It is intended for users of GitHub Copilot CLI and compatible coding tools; the catalogue entries are the skills, agents, instructions, MCP systems, plugins, and rules distributed by the project.

microsoft/skills-for-fabric · 1,321 stars · on GitHub

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 microsoft/skills-for-fabric --skill spark-cli
Clone the repo
git clone --depth 1 https://github.com/microsoft/skills-for-fabric

Made for: Claude Code.

Or install fabric-skills, the plugin that ships this one along with the rest of its 25 skills.

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 spark-cli

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/skills-for-fabric/spark-cli/github.svg)](https://agentmods.dev/skills/microsoft/skills-for-fabric/spark-cli)
Your own site
<a href="https://agentmods.dev/skills/microsoft/skills-for-fabric/spark-cli"><img src="https://agentmods.dev/badge/skills/microsoft/skills-for-fabric/spark-cli/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 spark-cli

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/skills-for-fabric/spark-cli"><img src="https://agentmods.dev/badge/skills/microsoft/skills-for-fabric/spark-cli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,380 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00094 $0.02380
Opus 5.5 $0.00038 $0.00952
Sonnet 5.5 $0.00019 $0.00476
Haiku 4.5 $0.00009 $0.00238

Measured 2mo ago against content hash 3f620dc0a7b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

spark-cli 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 2mo 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.

plugins/fabric-skills/skills/spark-cli/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Telemetry — MANDATORY. Every api.fabric.microsoft.com call must carry x-ms-fabric-skill: spark-cli (az rest: --headers "x-ms-fabric-skill=spark-cli"), including every LRO poll, fabric_lro and retry. Snippets omit it — add it anyway.

CRITICAL NOTES

  1. To find the workspace details (including its ID) from workspace name: list all workspaces and, then, use JMESPath filtering
  2. To find the item details (including its ID) from workspace ID, item type, and item name: list all items of that type in that workspace and, then, use JMESPath filtering
  3. Skill disambiguation: use spark-cli for notebook cell code (including %%sql cells), named notebook runs, Livy sessions, Spark failure triage, and everything about a Materialized Lake View -- writing the definition, reviewing a query for incremental-refresh readiness, and scheduling, refreshing, monitoring or diagnosing an existing one. A KQL materialized view in an Eventhouse is eventhouse-cli; plain read-only T-SQL against a Warehouse or Lakehouse SQL endpoint is sqldw-cli.
  4. Hard routing boundary: never execute an Eventhouse/KQL materialized-view request from this skill. Route it to eventhouse-cli; if that skill is unavailable, state that the request cannot be completed in the current skill context and stop without calling Fabric APIs or creating artifacts.

Fabric Spark and Materialized Lake Views -- CLI Skill

This one skill owns Fabric Spark: notebook cell authoring, notebook runs, Livy-session analysis, Spark failure diagnostics, and the whole Materialized Lake View lifecycle.

It is a mode dispatcher and contains NO procedures. Pick the mode that matches the request from the table below, then read the matching references/<mode>.md file end to end with your file-reading tool BEFORE issuing a single command. That file holds the endpoints, payload shapes, templates and gotchas; acting without it produces wrong payloads and wrong results.

Mode selection

Read the full file on GitHub · 102 lines

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. 2mo ago First seen · 102 lines · 94 tokens per session scan A 3f620dc0a7b9

Subscribe to this mod's changes

spark-cli is a skill published in the GitHub repository microsoft/skills-for-fabric (1,321 stars, last pushed yesterday), licensed MIT. It adds 94 tokens to every session and 2,380 once invoked, about $0.0004 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 2026-08-30.

Related

spark-cli compared with skills from other repositories

spark-cli next to 6 skills from other repositories
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spark-climicrosoft/skills-for-fabricSkill1.3kyesterdayMITA94Claude Code
agent-platform-model-registrygoogle/skillsSkill22kyesterdayApache-2.0A60Claude Code, Codex
foundry-config-setupmicrosoft/agent-frameworkSkill15kyesterdayMITA65Claude Code, Codex
google-cloud-solution-agentic-analytics-spark-knowledge-cataloggoogle/skillsSkill22kyesterdayApache-2.0A132Claude Code, Codex
training-checkwanshuiyin/Auto-claude-code-research-in-sleepSkill19k3d agoMITA35Claude Code
nemo-automodel-launcher-configNVIDIA/skillsSkill3.9kyesterdayApache-2.0A30Claude Code
finetuningmicrosoft/skillsSkill3.2kyesterdayMITA132Claude Code