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.
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 skills add microsoft/skills-for-fabric --skill project-osmosgit clone --depth 1 https://github.com/microsoft/skills-for-fabricWrote 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.
[](https://agentmods.dev/skills/microsoft/skills-for-fabric/project-osmos)<a href="https://agentmods.dev/skills/microsoft/skills-for-fabric/project-osmos"><img src="https://agentmods.dev/badge/skills/microsoft/skills-for-fabric/project-osmos/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.
<a href="https://agentmods.dev/skills/microsoft/skills-for-fabric/project-osmos"><img src="https://agentmods.dev/badge/skills/microsoft/skills-for-fabric/project-osmos.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00104 | $0.05584 |
| Opus 5.5 | $0.00042 | $0.02234 |
| Sonnet 5.5 | $0.00021 | $0.01117 |
| Haiku 4.5 | $0.00010 | $0.00558 |
Grade A, and why
project-osmos 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 yesterday.
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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Telemetry — MANDATORY. Every
api.fabric.microsoft.comcall must carryx-ms-fabric-skill: project-osmos(az rest:--headers "x-ms-fabric-skill=project-osmos"), including every LRO poll,fabric_lroand retry. Snippets omit it — add it anyway.
CRITICAL NOTES
- To find the workspace details (including its ID) from workspace name: list all workspaces and, then, use JMESPath filtering
- 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
Project Osmos for Microsoft Fabric
Use this skill when the user wants Project Osmos to solve a complex Fabric/OneLake workflow end-to-end: inspect data, write and run Spark, transform or modify tables, produce notebooks or outputs, and keep working through a long-running autonomous agent.
Scope
Use Project Osmos for data engineering tasks that create or update notebooks, Lakehouses, OneLake resources, and Spark code. Use Microsoft Fabric Skills to discover named workspaces and Lakehouses for Project Osmos and for tasks outside Project Osmos: Power BI dashboards, reports, semantic models, and PBIP artifacts; Fabric Warehouses and T-SQL objects; Eventhouse/KQL, Eventstreams, Dataflows Gen2, and Data Factory pipelines; and general Fabric item, workspace, capacity, deployment, or monitoring operations.
When the user names Project Osmos, use this skill for scope and task-splitting advice too. Bronze/Silver/Gold terminology does not switch an Osmos request to an architecture-planning skill. Keep the complete outcome in one task, not one task per layer or entity; Osmos owns its internal sequencing. Use e2e-medallion-architecture only for architecture work not assigned to Osmos.
When the user asks for examples, use Project Osmos use cases. Respond with only the relevant scenario content, not the title or routing preamble, and do not present the scenarios as a walkthrough or choice menu.
What ships with it
29 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.
- references/auth-and-routing.md 4.8 KB
- references/capacity-preflight.md 6.4 KB
- references/environment-routing.md 1.4 KB
- references/first-run-experience.md 1.3 KB
- references/intake-handoff.md 3.1 KB
- references/intake-output-options.md 2.4 KB
- references/intake-questionnaire.md 3.0 KB
- references/intake-write-options.md 2.6 KB
- references/oversized-instructions.md 2.4 KB
- references/project-osmos-explainer.md 2.1 KB
- references/project-osmos-use-cases.md 3.7 KB
- references/python-helper-runtime.md 1.9 KB
- references/task-continuation.md 5.2 KB
- references/task-lifecycle.md 5.2 KB
- references/task-monitoring.md 2.4 KB
- references/task-page.md 4.4 KB
- references/troubleshooting.md 5.0 KB
- references/url-parsing-example.md 2.0 KB
- references/url-parsing.md 5.6 KB
- scripts/capacity_preflight.py 5.5 KB runs code
- scripts/check-instruction-length.py 1.6 KB runs code
- scripts/launch-task-page.py 6.7 KB runs code
- scripts/post-user-message.py 16 KB runs code
- scripts/python_runtime.py 848 B runs code
- scripts/resolve-auth-and-routing.ps1 5.1 KB runs code
- scripts/resolve-auth-and-routing.py 28 KB runs code
- scripts/task_routes.py 5.7 KB runs code
- scripts/task_status.py 2.3 KB runs code
- scripts/upload-onelake-file.py 6.9 KB runs code
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.
- yesterday Changed · +45 lines · +1 tokens per session c61e745bda13
- 1mo ago First seen · 178 lines · 103 tokens per session scan A 2c87d7a30036
project-osmos is a skill published in the GitHub repository microsoft/skills-for-fabric (1,321 stars, last pushed yesterday), licensed MIT. It adds 104 tokens to every session and 5,584 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 2026-09-25.
project-osmos compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| project-osmosmicrosoft/skills-for-fabric | Skill | 1.3k | yesterday | MIT | A | 104 | Claude Code |
| tensorrt-llmNousResearch/hermes-agent | Skill | 261k | yesterday | MIT | A | 18 | Claude Code, Codex |
| agent-platform-tuninggoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 64 | Claude Code, Codex |
| google-cloud-solution-guided-gke-ai-migrationgoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 157 | Claude Code, Codex |
| apigee-agent-gateway-governancegoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 222 | Claude Code, Codex |
| modalK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 65 | Claude Code, Codex |
| gke-inferencegoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 119 | Claude Code, Codex |