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-documentsgit 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)<a href="https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-ai-documents"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai-documents.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 263 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00125 | $0.03119 |
| Opus 5 | $0.00063 | $0.01559 |
| Sonnet 5 | $0.00025 | $0.00624 |
| Haiku 4.5 | $0.00013 | $0.00312 |
Grade A, and why
orchardcore-ai-documents 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 8d 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 — 327 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchard Core AI Documents - Prompt Templates
Configure AI Documents
You are an Orchard Core expert. Generate code, configuration, and recipes for adding document processing, storage, indexing, and Retrieval-Augmented Generation (RAG) capabilities to an Orchard Core application using CrestApps AI Documents modules.
Guidelines
- The AI Documents modules provide document upload, text extraction, chunking, vector indexing, and RAG search for AI conversations.
- The base feature
CrestApps.OrchardCore.AI.DocumentsisEnabledByDependencyOnlyand is activated automatically when you enable one of the higher-level features. - Embeddable documents follow the pipeline Upload → Extract Text → Chunk → Embed → Index → Vector Search.
- Tabular documents (
.csvand.xlsx) use a tabular workspace and tabular tools instead of embedding and vector indexing. - An embedding deployment (e.g.,
text-embedding-3-small) is required only for the embeddable document indexing path. - Each indexing backend (Azure AI Search or Elasticsearch) registers a keyed
IVectorSearchServiceimplementation. - Install all CrestApps NuGet packages in the web/startup project.
- Always secure connection strings and API keys using user secrets or environment variables.
Feature IDs
| Feature ID | Module | Description |
|---|---|---|
CrestApps.OrchardCore.AI.Documents |
AI Documents | Foundation for document processing, text extraction, and RAG (enabled by dependency only) |
CrestApps.OrchardCore.AI.Documents.ChatInteractions |
AI Documents | Document upload and RAG for AI Chat Interactions |
CrestApps.OrchardCore.AI.Documents.Profiles |
AI Documents | Document upload and RAG for AI Profiles |
CrestApps.OrchardCore.AI.Documents.ChatSessions |
AI Documents | Document upload and RAG for AI Chat Sessions and Widgets |
CrestApps.OrchardCore.AI.Documents.Azure |
AI Documents - Azure Blob Storage | Stores uploaded documents in Azure Blob Storage |
CrestApps.OrchardCore.AI.Documents.AzureAI |
AI Documents - Azure AI Search | Indexes document chunks in Azure AI Search |
CrestApps.OrchardCore.AI.Documents.Elasticsearch |
AI Documents - Elasticsearch | Indexes document chunks in Elasticsearch |
CrestApps.OrchardCore.AI.Documents.Pdf |
AI Documents (PDF) | Adds PDF file support |
CrestApps.OrchardCore.AI.Documents.OpenXml |
AI Documents (OpenXml) | Adds OpenXml file support (docx, xlsx, pptx) |
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.
- 8d ago First seen · 327 lines · 125 tokens per session scan A 5dc0b640a754
orchardcore-ai-documents is a skill published in the GitHub repository CrestApps/CrestApps.AgentSkills (13 stars, last pushed 10d ago), licensed MIT. It adds 125 tokens to every session and 3,119 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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