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 wardawgmalvicious/agent-config --skill fabric-spark-monitoringgit clone --depth 1 https://github.com/wardawgmalvicious/agent-configWrote 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/wardawgmalvicious/agent-config/fabric-spark-monitoring)<a href="https://agentmods.dev/skills/wardawgmalvicious/agent-config/fabric-spark-monitoring"><img src="https://agentmods.dev/badge/skills/wardawgmalvicious/agent-config/fabric-spark-monitoring/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/wardawgmalvicious/agent-config/fabric-spark-monitoring"><img src="https://agentmods.dev/badge/skills/wardawgmalvicious/agent-config/fabric-spark-monitoring.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 | $0.00147 | $0.02030 |
| Opus 5 | $0.00073 | $0.01015 |
| Sonnet 5 | $0.00029 | $0.00406 |
| Haiku 4.5 | $0.00015 | $0.00203 |
Grade A, and why
fabric-spark-monitoring scanned grade A with 1 finding 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`https://api.fabric.microsoft.com/v1`; plain `curl` with a bearer How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fabric Spark monitoring APIs
Attribute Fabric Spark notebook / pipeline wall-clock time using the Spark monitoring REST surface: Livy session listings plus the embedded Spark History Server (SHS) mirror. Every endpoint here is a GET — read-only diagnostics, no state changes.
All endpoint shapes and field names below were exercised live on 2026-08-17. The surface is preview-era — re-verify response shapes before building anything that depends on their stability.
Auth & base URL
az account get-access-token --resource https://api.fabric.microsoft.com --query accessToken -o tsv
Delegated token. On a Fabric-only tenant (no Azure subscription) the
login itself needs az login --allow-no-subscriptions. Base URL is
https://api.fabric.microsoft.com/v1; plain curl with a bearer
header works from there — no SDK or MCP server required. Full token
audience table and 401 debugging: fabric-auth skill.
Listing Livy sessions
GET /workspaces/{wsId}/spark/livySessions?maxResults=N # workspace-wide
GET /workspaces/{wsId}/notebooks/{itemId}/livySessions # per-item
GET /workspaces/{wsId}/sparkJobDefinitions/{itemId}/livySessions # "
GET /workspaces/{wsId}/lakehouses/{itemId}/livySessions # "
Field guide for the session objects:
| Field | Meaning |
|---|---|
sparkApplicationId |
YARN application id — required for SHS drill-down below |
livyId |
The Livy session id used in per-application URLs |
livyName |
HC_<NotebookName>_<livyId> prefix marks a high-concurrency session |
state |
Session lifecycle state |
origin, submitter, jobType |
Who/what launched the session |
submittedDateTime / startDateTime / endDateTime |
Submission vs actual start vs end |
queuedDuration / runningDuration / totalDuration |
Duration objects |
queuedDuration is pure capacity contention — time spent before
the Spark application existed at all. If it dominates, the problem is
capacity/queueing, not the notebook.
What ships with it
1 file 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.
- 2d ago Changed 94a6f8b2c845
- 8d ago Changed · +5 lines eb3bb1f7f3a8
- 12d ago First seen · 176 lines · 147 tokens per session scan A cc0e0df7fab2
fabric-spark-monitoring is a skill published in the GitHub repository wardawgmalvicious/agent-config (1 stars, last pushed yesterday), licensed MIT. It adds 147 tokens to every session and 2,030 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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