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-chat-interactionsgit 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-chat-interactions)<a href="https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-ai-chat-interactions"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai-chat-interactions/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-chat-interactions"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai-chat-interactions.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 | $0.00098 | $0.02086 |
| Opus 5 | $0.00049 | $0.01043 |
| Sonnet 5 | $0.00020 | $0.00417 |
| Haiku 4.5 | $0.00010 | $0.00209 |
Grade A, and why
orchardcore-ai-chat-interactions 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 9d 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 — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchard Core AI Chat Interactions - Prompt Templates
Configure AI Chat Interactions
You are an Orchard Core expert. Generate code, configuration, and recipes for adding ad-hoc AI chat interactions with document upload and RAG to an Orchard Core application using CrestApps modules.
Guidelines
- The AI Chat Interactions module (
CrestApps.OrchardCore.AI.Chat.Interactions) provides ad-hoc chat without predefined AI profiles. - Users can configure temperature, TopP, max tokens, frequency/presence penalties, and past messages count per session.
- The current interaction flow is deployment-driven: users select chat and utility deployments per interaction, or rely on the configured site-level default deployments when explicit deployments are not set.
- Users can select agents from the Capabilities tab to enhance interaction capabilities. Agent selection is saved via the SignalR hub.
- The Capabilities tab is organized: MCP Connections first, then Agents, then Tools.
- All chat messages are persisted and sessions can be resumed later.
- The AI Documents modules add document upload with RAG (Retrieval Augmented Generation) support.
- Document-aware chat interactions should use
CrestApps.OrchardCore.AI.Documents.ChatInteractionsplus a current data-source module such asCrestApps.OrchardCore.AI.DataSources.AzureAIorCrestApps.OrchardCore.AI.DataSources.Elasticsearch. - Image and chart generation are orchestration system tools (
generate_imageandgenerate_chart), not interaction intents. Image generation requires a deployment with theImagepurpose. - Install CrestApps packages in the web/startup project.
- Always secure API keys using user secrets or environment variables.
Enabling AI Chat Interactions
{
"steps": [
{
"name": "Feature",
"enable": [
"CrestApps.OrchardCore.AI",
"CrestApps.OrchardCore.AI.Chat.Interactions",
"CrestApps.OrchardCore.OpenAI"
],
"disable": []
}
]
}
What ships with it
1 file 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.
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.
- 9d ago First seen · 213 lines · 98 tokens per session scan A 9281887caf89
orchardcore-ai-chat-interactions is a skill published in the GitHub repository CrestApps/CrestApps.AgentSkills (13 stars, last pushed 11d ago), licensed MIT. It adds 98 tokens to every session and 2,086 once invoked, about $0.0005 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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