orchardcore-custom-indexing-elasticsearch

orchardcore-custom-indexing-elasticsearch is a skill for Claude Code from CrestApps/CrestApps.AgentSkills. It costs 202 tokens per session (4,327 once invoked), scanned A, original, MIT.

A technical guide for indexing custom records in Elasticsearch through Orchard Core. Elasticsearch is a search system used for full-text search, filtering, and vector search.

In plain words
What is it for?
Use it to index AI memory, CRM or ERP records, generated summaries, and synchronized external data with custom mappings.
Why use it?
It helps make non-standard records searchable when they do not fit Orchard Core's normal content-item indexing.

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 index AI memory, CRM or ERP records, generated summaries, and synchronized external data with custom mappings.

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Install with agentmods
npx agentmods add skills/crestapps/crestapps.agentskills/orchardcore-custom-indexing-elasticsearch
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-custom-indexing-elasticsearch
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-custom-indexing-elasticsearch

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/crestapps/crestapps.agentskills/orchardcore-custom-indexing-elasticsearch"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/orchardcore-custom-indexing-elasticsearch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 202 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,327 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 pass 7 Sept 2026
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 $0.00202 $0.04327
Opus 5.5 $0.00081 $0.01731
Sonnet 5.5 $0.00040 $0.00865
Haiku 4.5 $0.00020 $0.00433

Measured 9d ago against content hash 058b67aaee64, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

orchardcore-custom-indexing-elasticsearch 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.

plugins/crestapps-orchardcore/skills/orchardcore-custom-indexing-elasticsearch/SKILL.md · 502 lines

How it starts

The opening of the file, as written. The whole thing — 502 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Orchard Core Custom Indexing for Elasticsearch

Index arbitrary records into Elasticsearch

You are an Orchard Core expert. Generate code that indexes custom records (not content items) into an Elasticsearch index profile, optionally with embeddings for vector search. Model it on CrestApps.OrchardCore.AI.Memory (records, settings, indexing service) and CrestApps.OrchardCore.AI.Memory.Elasticsearch (provider registration and mappings).

When to use it

  • Records you store yourself: CRM or ERP rows, generated summaries, user-scoped facts, imported business data.
  • Full-text, filtered, or vector search over them through Orchard Core's index profiles.
  • For Orchard content items use the built-in content index instead (see orchardcore-elasticsearch). For retrieval-augmented chat over an index you already have, an AI data source is usually enough (see orchardcore-ai-data-sources).

Architecture

  1. A shared module owns the records, a provider-neutral index document, the master-index setting, and the indexing service.
  2. A provider module registers the index source, the index-profile handler that shapes the Elasticsearch mapping, and the IDocumentIndexHandler that maps the neutral document.
  3. Indexing runs from the record store's lifecycle, deferred to the end of the request, never from a single controller or tool.
  4. One index profile type per record family; a site setting picks the active profile by name.

Key pieces

Piece Namespace Role
AddElasticsearchIndexingSource(type, o => ...) OrchardCore.Elasticsearch Adds the index type to Search > Indexing
IndexProfileHandlerBase OrchardCore.Indexing.Core.Handlers Shapes the profile on initialize, create, update, and reacts to SynchronizedAsync
ElasticsearchIndexMetadata, ElasticsearchDefaultQueryMetadata OrchardCore.Elasticsearch.Core.Models, OrchardCore.Elasticsearch.Models Mapping and default query fields
IDocumentIndexHandler, BuildDocumentIndexContext OrchardCore.Indexing Map a record into a DocumentIndex
keyed IDocumentIndexManager OrchardCore.Indexing AddOrUpdateDocumentsAsync, DeleteDocumentsAsync per provider
IIndexProfileStore OrchardCore.Indexing FindByNameAsync, GetByTypeAsync
IndexProfileEmbeddingMetadataAccessor CrestApps.OrchardCore.AI.Core Reads the embedding deployment stored in DataSourceIndexProfileMetadata
IAIDeploymentManager, IAIClientFactory CrestApps.Core.AI.Deployments, CrestApps.Core.AI.Clients Resolve the deployment and create the embedding generator

Read the full file on GitHub · 502 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. 9d ago Changed · +220 lines · +15 tokens per session 058b67aaee64
  2. 1mo ago First seen · 282 lines · 187 tokens per session scan A 0e85d36dcfd3

Subscribe to this mod's changes

orchardcore-custom-indexing-elasticsearch is a skill published in the GitHub repository CrestApps/CrestApps.AgentSkills (13 stars, last pushed 9d ago), licensed MIT. It adds 202 tokens to every session and 4,327 once invoked, about $0.0008 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 2026-09-03.

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