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-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-spark-compute-perf-remediate)<a href="https://agentmods.dev/skills/patrickgallucci/fabric-skills/fabric-spark-compute-perf-remediate"><img src="https://agentmods.dev/badge/skills/patrickgallucci/fabric-skills/fabric-spark-compute-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-spark-compute-perf-remediate"><img src="https://agentmods.dev/badge/skills/patrickgallucci/fabric-skills/fabric-spark-compute-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 | $0.00124 | $0.02175 |
| Opus 5 | $0.00062 | $0.01087 |
| Sonnet 5 | $0.00025 | $0.00435 |
| Haiku 4.5 | $0.00012 | $0.00217 |
Grade A, and why
fabric-spark-compute-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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fabric Delta Lake & Spark Performance remediate
Systematic remediate toolkit for diagnosing and resolving performance issues across Microsoft Fabric Spark compute, Delta Lake tables, and Lakehouse workloads.
When to Use This Skill
- Spark notebooks or jobs running slower than expected
- Delta table queries degrading over time (small file problem)
- Capacity throttling errors (HTTP 430 / TooManyRequestsForCapacity)
- Session startup taking minutes instead of seconds
- Out-of-memory errors on executors or drivers
- Streaming ingestion falling behind or producing small files
- VOrder or resource profile misconfiguration
- Deciding between read-heavy vs. write-heavy workload profiles
- Planning table maintenance (OPTIMIZE, VACUUM, Z-Order)
- Tuning autoscaling, dynamic executor allocation, or autotune
Prerequisites
- Access to a Microsoft Fabric workspace with Data Engineering enabled
- Contributor or higher role on the workspace
- Fabric capacity (F2+) or Trial capacity
- PowerShell 7+ for diagnostic scripts
- PySpark for notebook-based diagnostics
Triage: Identify the Symptom Category
Start by matching the observed symptom to one of these categories, then follow the linked reference for the detailed workflow.
| Symptom | Category | Reference |
|---|---|---|
| Notebook takes minutes to start | Session Startup | session-startup.md |
| Queries slow, getting worse over time | Delta Table Health | delta-table-health.md |
| HTTP 430 or "TooManyRequestsForCapacity" | Capacity Throttling | capacity-throttling.md |
| OOM errors, executor lost, task failed | Memory & Compute | memory-compute.md |
| Streaming lag, checkpoint delays | Streaming Performance | streaming-perf.md |
| Power BI reports slow against Lakehouse | Read Optimization | read-optimization.md |
| Spark job slow but no errors | General Tuning | general-tuning.md |
What ships with it
12 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/capacity-throttling.md 4.0 KB
- references/delta-table-health.md 6.6 KB
- references/general-tuning.md 5.8 KB
- references/memory-compute.md 4.9 KB
- references/read-optimization.md 4.4 KB
- references/session-startup.md 4.1 KB
- references/streaming-perf.md 4.9 KB
- scripts/Diagnose-DeltaTableHealth.ps1 4.8 KB runs code
- scripts/Get-SparkCapacityStatus.ps1 4.5 KB runs code
- scripts/Invoke-TableMaintenance.ps1 6.2 KB runs code
- templates/perf-diagnostic-notebook.py 8.3 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.
- 12d ago First seen · 218 lines · 124 tokens per session scan A 3fcb23cc5984
fabric-spark-compute-perf-remediate is a skill published in the GitHub repository PatrickGallucci/fabric-skills (16 stars, last pushed 3mo ago), licensed MIT. It adds 124 tokens to every session and 2,175 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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