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-perf-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-perf-remediate)<a href="https://agentmods.dev/skills/patrickgallucci/fabric-skills/fabric-data-agent-perf-remediate"><img src="https://agentmods.dev/badge/skills/patrickgallucci/fabric-skills/fabric-data-agent-perf-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-perf-remediate"><img src="https://agentmods.dev/badge/skills/patrickgallucci/fabric-skills/fabric-data-agent-perf-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 | $0.00118 | $0.02004 |
| Opus 5 | $0.00059 | $0.01002 |
| Sonnet 5 | $0.00024 | $0.00401 |
| Haiku 4.5 | $0.00012 | $0.00200 |
Grade A, and why
fabric-data-agent-perf-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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fabric Data Agent Performance remediate
Systematic toolkit for diagnosing and resolving performance issues in Microsoft Fabric Data Agents, Operations Agents, and their underlying Spark compute and data source infrastructure.
When to Use This Skill
- Data Agent responses are slow or timing out
- Agent-generated SQL/KQL/DAX queries return errors or produce incorrect results
- Spark session startup takes longer than expected (>10 seconds)
- Capacity throttling errors (HTTP 430) during agent workloads
- Operations Agent playbooks fail to execute or trigger actions
- Data source connections are unreliable or stale
- Example queries fail validation against schema
- Resource profiles need tuning for agent-specific workloads
- Table maintenance (VOrder, bin-compaction, vacuum) is overdue
- Autoscale Billing configuration needs optimization
Prerequisites
- Access: Fabric workspace Contributor or Admin role
- Tools: PowerShell 7+, Fabric REST API access (Microsoft Entra token)
- Endpoints:
https://api.fabric.microsoft.com/v1/workspaces/{workspaceId}/items - Monitoring: Access to Fabric Admin Portal and Azure Cost Analysis
- Optional: Azure subscription admin for SKU resizing and Autoscale Billing
Diagnostic Decision Tree
Agent performance issue reported
├── Slow response times?
│ ├── First query after idle? → Spark session startup (see Workflow 1)
│ ├── All queries slow? → Resource profile mismatch (see Workflow 2)
│ └── Intermittent slowness? → Capacity throttling (see Workflow 3)
├── Incorrect query results?
│ ├── Wrong tables/columns? → Data source instructions (see Workflow 4)
│ ├── SQL syntax errors? → Example query validation (see Workflow 5)
│ └── Stale data? → Lakehouse table maintenance (see Workflow 6)
├── Agent not responding?
│ ├── HTTP 430 errors? → Concurrency limits (see Workflow 3)
│ ├── Connection failures? → Data source config (see Workflow 4)
│ └── Operations Agent stuck? → Playbook/action config (see Workflow 7)
└── Cost concerns?
├── Unexpected charges? → Autoscale Billing audit (see Workflow 8)
└── Over-provisioned? → SKU right-sizing (see Workflow 8)
What ships with it
14 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/workflow-autoscale-billing.md 2.8 KB
- references/workflow-capacity-throttling.md 3.6 KB
- references/workflow-data-source-config.md 5.0 KB
- references/workflow-example-queries.md 4.2 KB
- references/workflow-operations-agent.md 3.3 KB
- references/workflow-resource-profiles.md 4.1 KB
- references/workflow-spark-startup.md 3.4 KB
- references/workflow-table-maintenance.md 2.9 KB
- scripts/Get-FabricAgentDiagnostics.ps1 4.8 KB runs code
- scripts/Invoke-TableMaintenance.ps1 5.5 KB runs code
- scripts/Test-ExampleQueries.ps1 4.9 KB runs code
- templates/agent-instructions-template.md 1.1 KB
- templates/datasource-instructions-template.md 1019 B
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 · 186 lines · 118 tokens per session scan A ed6c3e46d347
fabric-data-agent-perf-remediate is a skill published in the GitHub repository PatrickGallucci/fabric-skills (16 stars, last pushed 3mo ago), licensed MIT. It adds 118 tokens to every session and 2,004 once invoked, about $0.0006 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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