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 container-apps-gpu-2025git 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/container-apps-gpu-2025)<a href="https://agentmods.dev/skills/josiahsiegel/claude-plugin-marketplace/container-apps-gpu-2025"><img src="https://agentmods.dev/badge/skills/josiahsiegel/claude-plugin-marketplace/container-apps-gpu-2025/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/container-apps-gpu-2025"><img src="https://agentmods.dev/badge/skills/josiahsiegel/claude-plugin-marketplace/container-apps-gpu-2025.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 | $0.00166 | $0.04147 |
| Opus 5 | $0.00083 | $0.02073 |
| Sonnet 5 | $0.00033 | $0.00829 |
| Haiku 4.5 | $0.00017 | $0.00415 |
Grade A, and why
container-apps-gpu-2025 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 — 604 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure Container Apps GPU Support - 2025 Features
Complete knowledge base for Azure Container Apps with GPU support, serverless capabilities, and Dapr integration (2025 GA features).
Overview
Azure Container Apps is a serverless container platform with native GPU support, Dapr integration, and scale-to-zero capabilities for cost-efficient AI/ML workloads.
Key 2025 Features (Build Announcements)
1. Serverless GPU (GA)
- Automatic scaling: Scale GPU workloads based on demand
- Scale-to-zero: Pay only when GPU is actively used
- Per-second billing: Granular cost control
- Optimized cold start: Fast initialization for AI models
- Reduced operational overhead: No infrastructure management
2. Dedicated GPU (GA)
- Consistent performance: Dedicated GPU resources
- Simplified AI deployment: Easy model hosting
- Long-running workloads: Ideal for training and continuous inference
- Multiple GPU types: NVIDIA A100, T4, and more
3. Dynamic Sessions with GPU (Early Access)
- Sandboxed execution: Run untrusted AI-generated code
- Hyper-V isolation: Enhanced security
- GPU-powered Python interpreter: Handle compute-intensive AI workloads
- Scale at runtime: Dynamic resource allocation
4. Foundry Models Integration
- Deploy AI models directly: During container app creation
- Ready-to-use models: Pre-configured inference endpoints
- Azure AI Foundry: Seamless integration
5. Workflow with Durable Task Scheduler (Preview)
- Long-running workflows: Reliable orchestration
- State management: Automatic persistence
- Event-driven: Trigger workflows from events
6. Native Azure Functions Support
- Functions runtime: Run Azure Functions in Container Apps
- Consistent development: Same code, serverless execution
- Event triggers: All Functions triggers supported
7. Dapr Integration (GA)
- Service discovery: Built-in DNS-based discovery
- State management: Distributed state stores
- Pub/sub messaging: Reliable messaging patterns
- Service invocation: Resilient service-to-service calls
- Observability: Integrated tracing and metrics
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 · 604 lines · 166 tokens per session scan A a5621dd23644
container-apps-gpu-2025 is a skill published in the GitHub repository JosiahSiegel/claude-plugin-marketplace (54 stars, last pushed 2mo ago), licensed MIT. It adds 166 tokens to every session and 4,147 once invoked, about $0.0008 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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