orchardcore-ai-documents

orchardcore-ai-documents is a skill for Claude Code from CrestApps/CrestApps.AgentSkills. It costs 216 tokens per session (2,919 once invoked), scanned A, original, MIT.

A document-processing feature for Orchard Core that uploads files, extracts their text, splits it into smaller sections, creates vector representations, and searches those vectors for AI conversations. Retrieval-Augmented Generation (RAG) means finding relevant stored content before generating an answer.

In plain words
What is it for?
Use it to build document upload and storage flows, index supported files with Azure AI Search or Elasticsearch, and retrieve relevant content for AI responses.
Why use it?
It lets an AI chat use information from uploaded PDFs, Office files, and plain text instead of relying only on its general training. CSV and XLSX files use a separate tabular workflow.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the crestapps-orchardcore plugin — 94 skills shipped together

Good fit Use it to build document upload and storage flows, index supported files with Azure AI Search or Elasticsearch, and retrieve relevant content for AI responses.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/crestapps/crestapps.agentskills/orchardcore-ai-documents
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-documents
Clone the repo
git clone --depth 1 https://github.com/CrestApps/CrestApps.AgentSkills

Made for: Claude Code.

Or install crestapps-orchardcore, the plugin that ships this one along with the rest of its 94 skills.

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-documents

README.md
[![agentmods](https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-ai-documents/github.svg)](https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-ai-documents)
Your own site
<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/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.

agentmods 80×15 button for orchardcore-ai-documents

Your own site · 80×15
<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="Reviewed on agentmods" width="80" height="20"></a>
Per session 216 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,919 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: 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.
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 $0.00216 $0.02919
Opus 5.5 $0.00086 $0.01168
Sonnet 5.5 $0.00043 $0.00584
Haiku 4.5 $0.00022 $0.00292

Measured 3d ago against content hash 9304c5b561b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 3d 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-documents/SKILL.md · 223 lines

How it starts

The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Orchard Core AI Documents

Configure document upload and RAG

You are an Orchard Core expert. Generate configuration, recipes, and code that let users and administrators attach documents to CrestApps AI chat surfaces, and let the model retrieve from them.

Guidelines

  • The base feature CrestApps.OrchardCore.AI.Documents is EnabledByDependencyOnly. It depends on CrestApps.OrchardCore.AI.Chat.Interactions and OrchardCore.Indexing, and comes along with any of the sub-features below.
  • Embeddable documents follow upload, scan, extract, chunk, embed, index, and vector search. Tabular files (.csv, .tsv, .xlsx, .xls) are non-embeddable; they are loaded into the conversation's tabular workspace instead.
  • Indexing needs an AI Documents index profile from CrestApps.OrchardCore.AI.Documents.Elasticsearch or CrestApps.OrchardCore.AI.Documents.AzureAI (see orchardcore-ai-documents-elasticsearch and orchardcore-ai-documents-azureai).
  • The AI Documents index names its embedding deployment. The picker lists deployments in the embedding slot, so the deployment must declare textEmbedding. It is locked once the index exists.
  • Pick the active index once. Changing it later loses access to documents of existing sessions.
  • PDF and Office formats need the extractor features (see orchardcore-ai-documents-extractors). Azure Blob Storage is optional (see orchardcore-ai-documents-azure-storage).
  • Every upload is scanned before it is stored. Enable OrchardCore.Antivirus to add ClamAV.
  • Install packages in the web/startup project.

Features

Feature Feature ID Depends on
AI Documents CrestApps.OrchardCore.AI.Documents CrestApps.OrchardCore.AI.Chat.Interactions, OrchardCore.Indexing (dependency only)
AI Documents for Chat Interactions CrestApps.OrchardCore.AI.Documents.ChatInteractions AI Documents
AI Documents for Profiles CrestApps.OrchardCore.AI.Documents.Profiles AI Documents, CrestApps.OrchardCore.AI.Chat.Core
AI Documents for Chat Sessions CrestApps.OrchardCore.AI.Documents.ChatSessions AI Documents, CrestApps.OrchardCore.AI.Chat
AI Documents - Azure Blob Storage CrestApps.OrchardCore.AI.Documents.Azure AI Documents
AI Documents indexing using Azure AI Search CrestApps.OrchardCore.AI.Documents.AzureAI AI Documents, OrchardCore.AzureAI
AI Documents indexing using Elasticsearch CrestApps.OrchardCore.AI.Documents.Elasticsearch AI Documents, OrchardCore.Elasticsearch
AI Documents (PDF) CrestApps.OrchardCore.AI.Documents.Pdf none
AI Documents (OpenXml) CrestApps.OrchardCore.AI.Documents.OpenXml none

Read the full file on GitHub · 223 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. 3d ago Changed · -104 lines · +91 tokens per session 9304c5b561b1
  2. 1mo ago First seen · 327 lines · 125 tokens per session scan A 5dc0b640a754

Subscribe to this mod's changes

orchardcore-ai-documents is a skill published in the GitHub repository CrestApps/CrestApps.AgentSkills (13 stars, last pushed 4d ago), licensed MIT. It adds 216 tokens to every session and 2,919 once invoked, about $0.0009 per session on Opus 5.5. 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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