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.
npx agentmods add rules/microsoft/skills-for-fabric/cursorrulesgit clone --depth 1 https://github.com/microsoft/skills-for-fabricWhat 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 | $0.02213 | $0.02213 |
| Opus 5 | $0.01107 | $0.01107 |
| Sonnet 5 | $0.00443 | $0.00443 |
| Haiku 4.5 | $0.00221 | $0.00221 |
Grade A, and why
cursorrules 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microsoft Fabric Development Rules
Updates: These instructions do not run a session-start update check. Refresh them through your host's plugin or marketplace update flow, or run
git pullif you use a manual clone.
Context
This project works with Microsoft Fabric for data engineering, warehousing, and analytics. Primary API reference: https://learn.microsoft.com/en-us/rest/api/fabric/articles/
Architecture Mode
- Follow repository layering: Agents -> Skills -> Common.
- For medallion and other cross-endpoint workflows, start with
agents/FabricDataEngineer.agent.md. - Delegate endpoint-specific tasks to corresponding skills in
skills/.
Authentication
All operations require Azure AD tokens via az login:
az login
az account get-access-token --resource https://api.fabric.microsoft.com
Developer Pattern: REST + Protocol
Developers use REST APIs to manage artifacts, then protocol-specific connections to access data:
- REST → ODBC for Warehouse
- REST → Spark for Lakehouse
- REST → XMLA/DAX for Semantic Models
- REST → KQL for Real-Time Intelligence
Code Generation Rules
Lakehouse & Spark
- Always use Delta Lake format for tables
- Use mssparkutils for Fabric-specific operations (fs, credentials, notebook)
- Include partition columns for large tables
- Run OPTIMIZE and VACUUM for table maintenance
- Use
skills/spark-cli/SKILL.mdfor notebook authoring and runs, Livy analysis, Spark diagnostics, and the full Materialized Lake View lifecycle. - MLV authoring resources:
skills/spark-cli/references/authoring/resources/materialized-lake-view-patterns.mdandskills/spark-cli/references/authoring/resources/mlv-incremental-refresh-patterns.md.
Warehouse (T-SQL)
- Check T-SQL surface area - not all SQL Server features are supported
- Use CTAS for large transformations
- Prefer stored procedures for reusable logic
- Always include TOP/LIMIT when exploring data
- Skill:
skills/sqldw-cli/SKILL.md- one skill with authoring, consumption and operations modes
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.
- 2d ago First seen · 180 lines · 2,213 tokens per session scan A 034921dd87f1
cursorrules is a cursor rule published in the GitHub repository microsoft/skills-for-fabric (1,087 stars, last pushed 5d ago), licensed MIT. It adds 2,213 tokens to every session, about $0.0111 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 2026-08-30.
Other cursor rules, from other repositories
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
coolify-ai-docs
Master reference to all Coolify AI documentation in .ai/ directory.
typescript
Changes to these high-fan-out internals can affect every message, delta, element, or rerun. Keep work in them minimal, and benchmark changes with representative stress-test apps.
python_lib
Tips and guidelines specific to the development of the Streamlit Python library, not applicable to scripts and e2e tests.
specs
This directory contains product and tech specs for Streamlit features.