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 agentmods add skills/microsoft/github-copilot-for-azure/azure-storagenpx skills add microsoft/GitHub-Copilot-for-Azure --skill azure-storagegit clone --depth 1 https://github.com/microsoft/GitHub-Copilot-for-AzureWrote 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/microsoft/github-copilot-for-azure/azure-storage)<a href="https://agentmods.dev/skills/microsoft/github-copilot-for-azure/azure-storage"><img src="https://agentmods.dev/badge/skills/microsoft/github-copilot-for-azure/azure-storage.svg" alt="Measured on agentmods" 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 | $0.00158 | $0.01145 |
| Opus 5 | $0.00079 | $0.00573 |
| Sonnet 5 | $0.00032 | $0.00229 |
| Haiku 4.5 | $0.00016 | $0.00114 |
Grade A, and why
azure-storage 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 4d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
14 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.
- references/auth-best-practices.md 6.1 KB
- references/sdk-usage.md 4.4 KB
- references/sdk/azure-data-tables-java.md 1.3 KB
- references/sdk/azure-data-tables-py.md 1.0 KB
- references/sdk/azure-storage-blob-java.md 1.3 KB
- references/sdk/azure-storage-blob-py.md 1.0 KB
- references/sdk/azure-storage-blob-rust.md 1.1 KB
- references/sdk/azure-storage-blob-ts.md 1.2 KB
- references/sdk/azure-storage-file-datalake-py.md 1.3 KB
- references/sdk/azure-storage-file-share-py.md 1006 B
- references/sdk/azure-storage-file-share-ts.md 1.2 KB
- references/sdk/azure-storage-queue-py.md 1.1 KB
- references/sdk/azure-storage-queue-ts.md 1.2 KB
- version.json 55 B
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.
- 4d ago First seen · 101 lines · 158 tokens per session scan A c4de133f440b
azure-storage is a skill published in the GitHub repository microsoft/GitHub-Copilot-for-Azure (248 stars, last pushed 5d ago), with no licence file. It adds 158 tokens to every session and 1,145 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.
Other skills, from other repositories
terraform-skill
Use when working with Terraform or OpenTofu - creating modules, writing tests (native test framework, Terratest), setting up CI/CD pipelines, reviewing configurations, choosing between testing approaches, debugging state issues, implementing security scanning (trivy, checkov), or making infrastructure-as-code…
ondb
A logical analysis and reasoning tool for AI. Use when decomposing documents into structured knowledge, querying entities and relations, validating consistency, or indexing files. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", "analyze this document", entity CRUD, or cross-skill…
cloud-architect
Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost…
kagent-dev
Development guide for kagent's v1alpha3 Harness and AgentTemplate CRDs, AgentInstance gRPC control plane, upstream A2A integration, Substrate runtime provisioning, tests, generation, and PR workflow. Use for any implementation, debugging, review, or CI task in the kagent repository.
timoni
Use when deploying applications to Kubernetes with Timoni. Covers installing and upgrading module instances from OCI registries, composing multi-app deployments with bundles, injecting values from clusters or CI with runtimes, targeting multiple clusters, and authoring, testing, signing and publishing modules with CUE.
azmon-mirroredcatalogs-operations-cli
Brings Azure Monitor, Application Insights, and Log Analytics telemetry into Fabric as Eventhouse external delta tables and correlates it with business data. Use to onboard observability data, judge whether latency or availability affected revenue, or build a Real-Time dashboard and Operations Agent over it.