orchardcore-indexing

orchardcore-indexing is a skill for Claude Code, Codex from CrestApps/CrestApps.AgentSkills. It costs 179 tokens per session (1,862 once invoked), scanned A, original, MIT.

A reference skill for Orchard Core's indexing system, which prepares content or other data for fast searching. It covers index setup, custom data sources, search-provider configuration, and resetting or rebuilding indexes.

In plain words
What is it for?
Use it to configure index profiles, add custom sources such as APIs or databases, and manage index resets and rebuilds.
Why use it?
It helps avoid incorrect Orchard Core indexing code and clarifies how index updates and rebuilds work.

Skill for Claude CodeCodex

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

Good fit Use it to configure index profiles, add custom sources such as APIs or databases, and manage index resets and rebuilds.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-indexing/github.svg)](https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-indexing)
Your own site
<a href="https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-indexing"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-indexing/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-indexing

Your own site · 80×15
<a href="https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-indexing"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-indexing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 179 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,862 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.
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 $0.00179 $0.01862
Opus 5.5 $0.00072 $0.00745
Sonnet 5.5 $0.00036 $0.00372
Haiku 4.5 $0.00018 $0.00186

Measured 1mo ago against content hash 59a59b8bbfab, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

orchardcore-indexing 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 1mo 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/orchardcore/skills/orchardcore-indexing/SKILL.md · 279 lines

How it starts

The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Orchard Core Indexing Infrastructure - Prompt Templates

Configure Indexing Infrastructure

You are an Orchard Core expert. Generate code and configuration for the Orchard Core indexing infrastructure, including custom indexing sources and index lifecycle management.

Guidelines

  • Enable OrchardCore.Indexing as the core indexing module that provides the abstraction layer for all index providers.
  • The indexing module is provider-agnostic and supports Lucene, Elasticsearch, and Azure AI Search.
  • The module maintains an append-only log of indexing tasks (Update or Delete) using a cursor-based interface.
  • Content item indexing is a consumer of the core indexing infrastructure, not a hard requirement.
  • Custom data sources (REST APIs, databases, in-memory structures) can be indexed alongside content items.
  • Use the CreateOrUpdateIndexProfile recipe step to create or update index profiles.
  • Use the ResetIndex recipe step to restart indexing without deleting existing entries.
  • Use the RebuildIndex recipe step to delete and recreate the full index.
  • Reset and rebuild operations run asynchronously in the background.
  • The admin UI is available under Search > Indexes for index lifecycle management.
  • All recipe JSON must be wrapped in { "steps": [...] }.
  • All C# classes must use the sealed modifier.

Enabling the Indexing Module

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

Index Profile Architecture

The indexing module uses an append-only task log where each entry represents either an Update or a Deletion. Consumers track changes independently using their own cursor positions. This enables:

  • Processing changes at individual pace.
  • Implementing custom search pipelines.
  • Integrating with analytics, auditing, or event-driven workflows.
  • Loose coupling between the indexing infrastructure and data consumers.

Creating an Index Profile via Recipe

Read the full file on GitHub · 279 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. 1mo ago First seen · 279 lines · 179 tokens per session scan A 59a59b8bbfab

Subscribe to this mod's changes

orchardcore-indexing is a skill published in the GitHub repository CrestApps/CrestApps.AgentSkills (13 stars, last pushed 2d ago), licensed MIT. It adds 179 tokens to every session and 1,862 once invoked, about $0.0007 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 2026-09-12.

Related

Other skills, from other repositories

mongodb-mcp-v3-migration

Migrates external consumer code from the mongodb-mcp-server v1/v2 single-package API to the v3 scoped-package structure. In v3, mongodb-mcp-server is a binary-only package (npx / MCPB); library embedding uses @mongodb-js/mcp-cli, @mongodb-js/mcp-core, @mongodb-js/mcp-http-runners, @mongodb-js/mcp-tools-, and the other…

mongodb-js/mongodb-mcp-server · 153 tokens

td-api-reference

MUST READ before writing TD Python via executepython, setdatcontent, or editdatcontent, and before any heavy build. Parameters, storage, operators, referencing, threading, cook model, heavy-build safety caps.

dylanroscover/Embody · 48 tokens

manage-annotations

MUST READ before creating, modifying, or querying annotations. Contains parameter names, coordinate model, and API quirks.

dylanroscover/Embody · 28 tokens

gdal-api

Use when programming against GDAL/OGR in C, C++, Python, Java, or .NET for raster/vector I/O, coordinate transformation, or custom geospatial algorithms. GDAL API: low-level programming interface for reading/writing 70+ geospatial formats.

znlgis/opengis-skills · 58 tokens

data-engineering

Method for scraping, transforming, validating and loading data through NDJSON. Use when building a scraper or ETL step, validating an NDJSON feed, or importing data into a CMS or database.

monkilabs/opencastle · 43 tokens

vector-backend-operations

Select and connect the right vector-store backend for the vector-mcp MCP server — chromadb, postgres/pgvector, qdrant, couchbase, or mongodb — and supply the correct dbtype/connection parameters that every collection and search call needs. Use when the agent must decide which engine to target, wire up…

Knuckles-Team/vector-mcp · 113 tokens