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-spark-compute-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-spark-compute-remediate)<a href="https://agentmods.dev/skills/patrickgallucci/fabric-skills/fabric-spark-compute-remediate"><img src="https://agentmods.dev/badge/skills/patrickgallucci/fabric-skills/fabric-spark-compute-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-spark-compute-remediate"><img src="https://agentmods.dev/badge/skills/patrickgallucci/fabric-skills/fabric-spark-compute-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 | $0.00092 | $0.01505 |
| Opus 5 | $0.00046 | $0.00753 |
| Sonnet 5 | $0.00018 | $0.00301 |
| Haiku 4.5 | $0.00009 | $0.00151 |
Grade A, and why
fabric-spark-compute-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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microsoft Fabric Spark Compute remediate
Structured diagnostic workflows for resolving Apache Spark compute issues in Microsoft Fabric Data Engineering and Data Science workloads.
When to Use This Skill
- Spark jobs fail with HTTP 430 throttling or TooManyRequestsForCapacity errors
- Notebook or Spark job sessions are slow to start (>30 seconds)
- Environment publishing fails or hangs
- Autoscale is not scaling up or down as expected
- Jobs are queued indefinitely or expiring after 24 hours
- Custom pool creation fails or pools are undersized
- Library installation causes session startup delays
- Capacity appears exhausted despite low job counts
- VNet/Private Link provisioning adds unexpected delays
- Burst factor or job-level bursting behavior is unclear
Prerequisites
- Workspace Admin or Capacity Admin role in Microsoft Fabric
- Access to the Monitoring Hub for active Spark sessions
- Access to Workspace Settings > Data Engineering/Science
- Knowledge of current Fabric capacity SKU (F2 through F2048)
Quick Diagnostic: Identify Your Issue
Start here. Match your symptom to a diagnostic path:
| Symptom | Diagnostic Path |
|---|---|
| HTTP 430 error | See Throttling and Concurrency |
| Jobs stuck in queue | See Throttling and Concurrency |
| Slow session startup | See Session and Environment |
| Environment publish fails | See Session and Environment |
| Autoscale not working | See Pool Configuration |
| Pool sizing questions | See Pool Configuration |
| Library conflicts | See Session and Environment |
| VNet delay on first job | See Session and Environment |
What ships with it
5 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 · 130 lines · 92 tokens per session scan A c2e1a91a2da3
fabric-spark-compute-remediate is a skill published in the GitHub repository PatrickGallucci/fabric-skills (16 stars, last pushed 3mo ago), licensed MIT. It adds 92 tokens to every session and 1,505 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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