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 CrestApps/CrestApps.AgentSkills --skill orchardcore-ai-documents-azure-storagegit clone --depth 1 https://github.com/CrestApps/CrestApps.AgentSkillsWrote 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/crestapps/crestapps.agentskills/orchardcore-ai-documents-azure-storage)<a href="https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-ai-documents-azure-storage"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai-documents-azure-storage/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/crestapps/crestapps.agentskills/orchardcore-ai-documents-azure-storage"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai-documents-azure-storage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00129 | $0.01705 |
| Opus 5 | $0.00064 | $0.00852 |
| Sonnet 5 | $0.00026 | $0.00341 |
| Haiku 4.5 | $0.00013 | $0.00170 |
Grade A, and why
orchardcore-ai-documents-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 10d 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchard Core AI Documents Azure Blob Storage
Configure Azure Blob document storage
You are an Orchard Core expert. Configure CrestApps AI Documents to place uploaded document files in Azure Blob Storage while preserving the normal document extraction, chunking, embedding, indexing, and RAG workflow.
Guidelines
- Enable the exact feature ID
CrestApps.OrchardCore.AI.Documents.Azure. - This feature depends on AI Documents through
ChatInteractionsConstants.Feature.ChatDocuments; it enables the base document capability by dependency rather than replacing its processing pipeline. - The feature changes only the
IDocumentFileStoreimplementation. It does not create an index, generate embeddings, or select a vector-search backend. - If either
ConnectionStringorContainerNameis empty, the feature logs an error and leaves the existingIDocumentFileStoreregistration unchanged rather than registering the Azure-backed replacement. - Install
CrestApps.OrchardCore.AI.Documents.Azurein the web or startup project. - Keep connection strings in user secrets, environment variables, managed identity configuration, or a production secret store; never place production keys in recipes or source control.
- Use a lowercase Azure-valid container name. Configuration normalizes the container name to lowercase.
- Treat the container lifecycle options carefully for multi-tenant installations, especially if tenants share one container.
What the feature registers
| Registration | Purpose |
|---|---|
AIDocumentBlobStorageOptionsConfiguration |
Binds the tenant shell configuration to AIDocumentBlobStorageOptions. |
BlobFileStore |
Orchard Core Azure Blob file-system implementation. |
DefaultDocumentFileStore |
Wraps the blob store and replaces the default IDocumentFileStore. |
AIDocumentBlobContainerTenantEvents |
Creates or removes tenant storage during tenant lifecycle events. |
AIDocumentBlobStorageOptions derives from MediaBlobStorageOptionsBase. Its storage
settings therefore include the connection string, container name, base path, create,
and removal behavior.
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.
- 10d ago First seen · 175 lines · 129 tokens per session scan A dbb98a5ddc92
orchardcore-ai-documents-azure-storage is a skill published in the GitHub repository CrestApps/CrestApps.AgentSkills (13 stars, last pushed 12d ago), licensed MIT. It adds 129 tokens to every session and 1,705 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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