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 PatrickGallucci/fabric-skills --skill fabric-data-agent-remediategit clone --depth 1 https://github.com/PatrickGallucci/fabric-skillsWrote 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/patrickgallucci/fabric-skills/fabric-data-agent-remediate)<a href="https://agentmods.dev/skills/patrickgallucci/fabric-skills/fabric-data-agent-remediate"><img src="https://agentmods.dev/badge/skills/patrickgallucci/fabric-skills/fabric-data-agent-remediate/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/patrickgallucci/fabric-skills/fabric-data-agent-remediate"><img src="https://agentmods.dev/badge/skills/patrickgallucci/fabric-skills/fabric-data-agent-remediate.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 | $0.00109 | $0.01397 |
| Opus 5 | $0.00055 | $0.00698 |
| Sonnet 5 | $0.00022 | $0.00279 |
| Haiku 4.5 | $0.00011 | $0.00140 |
Grade A, and why
fabric-data-agent-remediate 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 11d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fabric Data Agent remediate
Structured remediate guide for diagnosing and resolving issues with Microsoft Fabric Data Agent (preview). Covers the full lifecycle from tenant configuration through data source setup, query tuning, publishing, and external integration.
When to Use This Skill
- Fabric data agent cannot be created or is missing from the workspace
- Data agent returns errors, empty results, or inaccurate queries
- Tenant settings are misconfigured for Copilot and Azure OpenAI
- Power BI semantic model data source fails to connect (XMLA)
- Cross-region capacity errors prevent query execution
- Example queries fail validation or are ignored by the agent
- Published data agent is inaccessible to shared users
- Azure AI Foundry or Copilot Studio integration issues
- Agent generates incorrect SQL, DAX, or KQL queries
- Conversation history is lost or not persisting
Prerequisites
- Microsoft Fabric capacity: F2 or higher (or Power BI Premium P1+ with Fabric enabled)
- Fabric Admin Portal access (for tenant settings)
- At least one data source with data: lakehouse, warehouse, Power BI semantic model, KQL database, or ontology
- Workspace Contributor (or higher) permissions
- PowerShell 7+ recommended for diagnostic scripts
Quick Diagnosis Workflow
Follow this decision tree to rapidly identify your issue category:
- Cannot create data agent? → See Tenant Settings Checklist
- Data agent created but queries fail? → See Query remediate
- Data source not appearing or erroring? → See Data Source Connectivity
- Published agent inaccessible? → See Publishing and Sharing
- Integration with Foundry/Teams failing? → See External Integration
Known Limitations (Preview)
These are product limitations, not configuration errors. Do not troubleshoot these as bugs:
What ships with it
8 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.
- LICENSE.txt 11 KB
- references/data-source-connectivity.md 5.7 KB
- references/external-integration.md 5.8 KB
- references/publishing-and-sharing.md 4.4 KB
- references/query-troubleshooting.md 5.5 KB
- references/tenant-settings-checklist.md 4.8 KB
- scripts/Test-FabricDataAgentConfig.ps1 12 KB runs code
- templates/data-agent-config-checklist.md 2.9 KB
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.
- 11d ago First seen · 97 lines · 109 tokens per session scan A 7cb3033b5f0e
fabric-data-agent-remediate is a skill published in the GitHub repository PatrickGallucci/fabric-skills (16 stars, last pushed 3mo ago), licensed MIT. It adds 109 tokens to every session and 1,397 once invoked, about $0.0005 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.
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