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-azureaigit 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-azureai)<a href="https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-ai-documents-azureai"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai-documents-azureai/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-azureai"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai-documents-azureai.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 | $0.00139 | $0.01543 |
| Opus 5 | $0.00069 | $0.00772 |
| Sonnet 5 | $0.00028 | $0.00309 |
| Haiku 4.5 | $0.00014 | $0.00154 |
Grade A, and why
orchardcore-ai-documents-azureai 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchard Core AI Documents Azure AI Search
Configure Azure AI Search document retrieval
You are an Orchard Core expert. Configure Azure AI Search as the vector indexing and retrieval backend for CrestApps AI Documents. Preserve the provider-managed mappings and configure an embedding deployment before creating an index.
Guidelines
- Enable the exact feature ID
CrestApps.OrchardCore.AI.Documents.AzureAI. - Its manifest depends on the AI Documents feature through
ChatInteractionsConstants.Feature.ChatDocuments,OrchardCore.Indexing, andOrchardCore.AzureAI. The base AI Documents capability is enabled by dependency. - Configure an Azure AI Search connection and an embedding deployment before creating the document index.
- Create the index at Search → Indexing with source AI Documents (Azure AI Search).
- The module registers its vector search service keyed by
AzureAISearchConstants.ProviderName; do not resolve an unkeyed replacement when extending the pipeline. - Select the appropriate document context feature such as Chat Interactions, Profiles, or Chat Sessions in addition to this backend.
- Install
CrestApps.OrchardCore.AI.Documents.AzureAIin the web or startup project and protect Azure credentials through secret configuration.
Feature registration
| Registration | Purpose |
|---|---|
AIDocumentAzureAISearchIndexProfileHandler |
Establishes and normalizes provider-specific Azure AI Search mappings. |
AIDocumentAzureAISearchDocumentIndexHandler |
Builds the provider document from document chunk records. |
AzureAISearchVectorSearchService |
Performs filtered vector similarity search for RAG. |
AddAzureAISearchIndexingSource |
Adds AI Documents (Azure AI Search) to Search → Indexing. |
Enable document indexing
{
"steps": [
{
"name": "Feature",
"enable": [
"CrestApps.OrchardCore.AI.Documents.ChatInteractions",
"CrestApps.OrchardCore.AI.Documents.AzureAI",
"OrchardCore.AzureAI"
],
"disable": []
}
]
}
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 · 152 lines · 139 tokens per session scan A d7b119f48750
orchardcore-ai-documents-azureai is a skill published in the GitHub repository CrestApps/CrestApps.AgentSkills (13 stars, last pushed today), licensed MIT. It adds 139 tokens to every session and 1,543 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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