orchardcore-ai

orchardcore-ai is a skill for Claude Code, Codex from CrestApps/CrestApps.AgentSkills. It costs 195 tokens per session (4,502 once invoked), scanned A, original, MIT.

An Orchard Core integration layer for connecting AI services, configuring providers, enabling the Model Context Protocol, and defining reusable AI profiles and agents.

In plain words
What is it for?
Use it to configure OpenAI, Azure, Azure AI Inference, or Ollama; define chat and agent profiles; and connect AI capabilities to Orchard modules.
Why use it?
It centralizes AI settings and provider connections so applications can use AI features without hardcoding credentials or repeating configuration.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to configure OpenAI, Azure, Azure AI Inference, or Ollama; define chat and agent profiles; and connect AI capabilities to Orchard modules.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/crestapps/crestapps.agentskills/orchardcore-ai
Install

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.

Any agent
npx skills add CrestApps/CrestApps.AgentSkills --skill orchardcore-ai
Clone the repo
git clone --depth 1 https://github.com/CrestApps/CrestApps.AgentSkills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for orchardcore-ai

README.md
[![agentmods](https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai.svg)](https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-ai)
Your own site
<a href="https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-ai"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai.svg" alt="Measured on agentmods" height="20"></a>
Per session 195 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,502 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, 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 Data Exfiltration · line 64
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 134
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00195 $0.04502
Opus 5 $0.00097 $0.02251
Sonnet 5 $0.00039 $0.00900
Haiku 4.5 $0.00019 $0.00450

Measured 4d ago against content hash 294379e7e8a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

orchardcore-ai 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.

plugins/crestapps-orchardcore/skills/orchardcore-ai/SKILL.md · 578 lines

How it starts

The opening of the file, as written. The whole thing — 578 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Orchard Core AI - Prompt Templates

Configure AI Integration

You are an Orchard Core expert. Generate code and configuration for AI integrations in Orchard Core.

Guidelines

  • Orchard Core supports AI integrations through the CrestApps AI module ecosystem.
  • Supported AI providers: OpenAI, Azure, AzureAIInference, and Ollama.
  • Configure AI services through appsettings.json or the admin UI.
  • Use dependency injection to access AI services in modules.
  • Always secure API keys using user secrets or environment variables, never hardcode them.
  • Provider configuration no longer uses a provider-wide default connection property. When multiple shared connections exist, assign the intended ConnectionName on each deployment and select deployments by name in profiles, workflows, and interactions.
  • AI profiles define how the AI system interacts with users, including system messages and response behavior.
  • Profile types include Chat, Utility, TemplatePrompt, and Agent.
  • Agent profiles are reusable agents exposed as AI tools — each agent requires a Description field.
  • Agent availability: OnDemand (default, included via selection) or AlwaysAvailable (auto-included in every request).
  • Resolve a speech-to-text deployment before creating an ISpeechToTextClient; IAIClientFactory.CreateSpeechToTextClientAsync() accepts an AIDeployment, not provider and connection names.

Enabling AI Features

{
  "steps": [
    {
      "name": "Feature",
      "enable": [
        "CrestApps.OrchardCore.AI"
      ],
      "disable": []
    }
  ]
}

AI Configuration in appsettings.json

{
  "OrchardCore": {
    "CrestApps": {
      "AI": {
        "DefaultParameters": {
          "Temperature": 0,
          "MaxOutputTokens": 800,
          "TopP": 1,
          "FrequencyPenalty": 0,
          "PresencePenalty": 0,
          "PastMessagesCount": 10
        },
        "Connections": [
          {
            "Name": "default",
            "ClientName": "OpenAI",
            "Endpoint": "https://api.openai.com/v1",
            "ApiKey": "Use a secret provider"
          }
        ],
        "Deployments": [
          { "Name": "gpt-4o", "ClientName": "OpenAI", "ConnectionName": "default", "Purpose": "Chat" },
          { "Name": "gpt-4o-mini", "ClientName": "OpenAI", "ConnectionName": "default", "Purpose": "Utility" },
          { "Name": "text-embedding-3-large", "ClientName": "OpenAI", "ConnectionName": "default", "Purpose": "Embedding" },
          { "Name": "dall-e-3", "ClientName": "OpenAI", "ConnectionName": "default", "Purpose": "Image" }
        ]
      }
    }
  }
}

Read the full file on GitHub · 578 lines

Changes

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.

  1. 4d ago First seen · 578 lines · 195 tokens per session scan A 294379e7e8a9

Subscribe to this mod's changes

orchardcore-ai is a skill published in the GitHub repository CrestApps/CrestApps.AgentSkills (13 stars, last pushed 9d ago), licensed MIT. It adds 195 tokens to every session and 4,502 once invoked, about $0.0010 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 2026-09-03.

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