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 JosiahSiegel/claude-plugin-marketplace --skill adf-ml-analyticsgit clone --depth 1 https://github.com/JosiahSiegel/claude-plugin-marketplaceWrote 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/josiahsiegel/claude-plugin-marketplace/adf-ml-analytics)<a href="https://agentmods.dev/skills/josiahsiegel/claude-plugin-marketplace/adf-ml-analytics"><img src="https://agentmods.dev/badge/skills/josiahsiegel/claude-plugin-marketplace/adf-ml-analytics/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/josiahsiegel/claude-plugin-marketplace/adf-ml-analytics"><img src="https://agentmods.dev/badge/skills/josiahsiegel/claude-plugin-marketplace/adf-ml-analytics.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 | $0.00150 | $0.02342 |
| Opus 5 | $0.00075 | $0.01171 |
| Sonnet 5 | $0.00030 | $0.00468 |
| Haiku 4.5 | $0.00015 | $0.00234 |
Grade A, and why
adf-ml-analytics 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Data Factory Machine Learning & Analytics Patterns
Overview
Azure Data Factory orchestrates ML workflows by integrating with Azure Machine Learning, Azure AI Services, Databricks ML, and Azure SQL Database. This skill covers patterns for extracting data from ephemeral sources (like Azure SQL Database), archiving to Azure Storage for long-term analysis, and leveraging ML services for scoring and insights.
Deprecation Notices & Platform Changes (Current March 2026)
Azure AI Foundry -> Microsoft Foundry (November 2025)
- At Ignite November 2025, Microsoft renamed Azure AI Foundry to Microsoft Foundry.
- Microsoft Foundry is the unified AI platform: agents, workflows, models, and tools under one resource provider.
- ADF is positioned as the data orchestration layer within Microsoft Foundry -- handling ingestion, transformation, feature preparation, and downstream consumption by models and agents.
- New AI features are primarily landing in Fabric Data Factory (Copilot, natural language pipeline generation). ADF classic remains fully supported but receives fewer new features.
Azure ML SDK v1 - SUPPORT ENDING JUNE 2026
- Deprecated: March 31, 2025. Support ends: June 30, 2026 (3 months away).
- Impact:
AzureMLExecutePipelineactivity uses SDK v1 published pipelines. These will stop working after June 2026. - Related SDKs also retiring:
azureml-train-core,azureml-pipeline,azureml-pipeline-core,azureml-pipeline-steps. - Migration required: Use Azure ML SDK v2 batch endpoints via WebActivity (see
references/azure-ml-patterns.md). - All new projects must use batch endpoints, not published pipelines.
Azure AI Inference SDK - RETIRING MAY 30, 2026
- The
azure-ai-inferenceSDK (Python/JS/.NET) is deprecated. - Migrate to the OpenAI SDK using the
OpenAI/v1API, which works with both Azure OpenAI and Microsoft Foundry Models. - This affects any code calling Azure AI model endpoints via the inference SDK.
Azure SQL Edge - RETIRED September 30, 2025
- Azure SQL Edge (which included ONNX PREDICT on edge devices) is no longer available.
- Migration: Use Azure SQL Managed Instance enabled by Azure Arc for edge SQL scenarios.
What ships with it
4 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 · 123 lines · 150 tokens per session scan A 858cd5a760b6
adf-ml-analytics is a skill published in the GitHub repository JosiahSiegel/claude-plugin-marketplace (54 stars, last pushed 2mo ago), licensed MIT. It adds 150 tokens to every session and 2,342 once invoked, about $0.0007 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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