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-notebook-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-notebook-perf-remediate)<a href="https://agentmods.dev/skills/patrickgallucci/fabric-skills/fabric-notebook-perf-remediate"><img src="https://agentmods.dev/badge/skills/patrickgallucci/fabric-skills/fabric-notebook-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-notebook-perf-remediate"><img src="https://agentmods.dev/badge/skills/patrickgallucci/fabric-skills/fabric-notebook-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 | $0.00110 | $0.02032 |
| Opus 5 | $0.00055 | $0.01016 |
| Sonnet 5 | $0.00022 | $0.00406 |
| Haiku 4.5 | $0.00011 | $0.00203 |
Grade A, and why
fabric-notebook-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 12d 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microsoft Fabric Notebook Performance remediate
Systematic toolkit for diagnosing, analyzing, and resolving performance bottlenecks in Microsoft Fabric notebooks powered by Apache Spark.
When to Use This Skill
- Fabric notebook cells are running slowly or timing out
- Spark jobs are being throttled with HTTP 430 errors
- Capacity Metrics app shows high CU consumption
- Data skew is causing unbalanced task execution
- Shuffle operations are consuming excessive resources
- Delta Lake tables have degraded read/write performance
- OOM (Out of Memory) errors during notebook execution
- Spark Advisor shows warnings or errors in cell output
- Session startup is slow or sessions expire unexpectedly
- Pipeline-triggered notebooks are queued for extended periods
Prerequisites
- Workspace Admin or Contributor role in the target Fabric workspace
- Access to the Fabric Monitoring Hub for your capacity
- Fabric Capacity Metrics app installed (for capacity-level analysis)
- Familiarity with PySpark or Spark SQL syntax
remediate Decision Tree
Identify your symptom and follow the corresponding workflow.
| Symptom | Root Cause Category | Action |
|---|---|---|
| Notebook cell runs for minutes on small data | Spark session config or query plan | See Spark Session Tuning |
| HTTP 430 error on job submission | Capacity exhausted, concurrency limit | See Capacity and Throttling |
| One task takes 10x longer than others | Data skew | See Data Skew Diagnosis |
| Write operations are slow | V-Order overhead or small file problem | See Delta Table Optimization |
| OOM / executor lost errors | Memory pressure, partition sizing | See Memory and Partition Tuning |
| Session expired / timed out | Idle timeout settings | See Common Errors |
| Notebook queued, never starts | Queue limits for SKU | See Capacity and Throttling |
What ships with it
7 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.
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.
- 12d ago First seen · 209 lines · 110 tokens per session scan A f395a7adf2d0
fabric-notebook-perf-remediate is a skill published in the GitHub repository PatrickGallucci/fabric-skills (16 stars, last pushed 3mo ago), licensed MIT. It adds 110 tokens to every session and 2,032 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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