crestapps-core-elasticsearch

crestapps-core-elasticsearch is a skill for Claude Code from CrestApps/CrestApps.AgentSkills. It costs 125 tokens per session (1,335 once invoked), scanned A, original, MIT.

Integration instructions for using Elasticsearch with CrestApps.Core, a .NET framework for indexing, search, AI documents, data sources, and memory. Elasticsearch is a search system that stores and retrieves data efficiently.

In plain words
What is it for?
Use it to configure Elasticsearch in a CrestApps.Core application, register its indexing services, and add the supported AI document, data-source, or memory components.
Why use it?
It distinguishes basic Elasticsearch connection setup from the additional registrations needed for AI document, data-source, and memory support.

Skill for Claude Code

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

Part of the crestapps-core plugin — 47 skills shipped together

Good fit Use it to configure Elasticsearch in a CrestApps.Core application, register its indexing services, and add the supported AI document, data-source, or memory components.

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

Made for: Claude Code.

Or install crestapps-core, the plugin that ships this one along with the rest of its 47 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 crestapps-core-elasticsearch

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/crestapps/crestapps.agentskills/crestapps-core-elasticsearch"><img src="https://agentmods.dev/badge/skills/crestapps/crestapps.agentskills/crestapps-core-elasticsearch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 125 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,335 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 $0.00125 $0.01335
Opus 5.5 $0.00050 $0.00534
Sonnet 5.5 $0.00025 $0.00267
Haiku 4.5 $0.00013 $0.00134

Measured yesterday against content hash 2b40a0cde71e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

crestapps-core-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 yesterday.

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-core/skills/crestapps-core-elasticsearch/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CrestApps.Core Elasticsearch

Use Elasticsearch as the knowledge-base backend for AI documents, AI data sources and AI memory. For the data source model itself see crestapps-core-data-sources.

Registration

builder.Services.AddCrestAppsCore(crestApps => crestApps
    .AddAISuite(ai => ai.AddOpenAI())
    .AddIndexingServices(indexing => indexing
        .AddYesSqlStores()
        .AddElasticsearch(
            builder.Configuration.GetSection("CrestApps:Elasticsearch"),
            elasticsearch => elasticsearch
                .AddAIDocuments()
                .AddAIDataSources()
                .AddAIMemory())));

The configuration section name is the host's choice. The sample hosts use CrestApps:Elasticsearch. AddElasticsearch(configure) without a section registers the services with no bound options.

Call Package Adds
AddCoreElasticsearchServices(section) CrestApps.Core.Elasticsearch ElasticsearchConnectionOptions, IElasticsearchClientFactory, a singleton ElasticsearchClient created by that factory, keyed IDataSourceContentManager, IDataSourceDocumentReader, IODataFilterTranslator, ISearchIndexManager, ISearchDocumentManager
AddElasticsearchODataFilterTranslator() CrestApps.Core.Elasticsearch only the keyed IODataFilterTranslator, for hosts that bring their own clients and managers
AddAIDocuments() / AddCoreElasticsearchAIDocumentSource() CrestApps.Core.AI.Elasticsearch AIDocuments index-profile source, profile handler, keyed IVectorSearchService
AddAIDataSources() / AddCoreElasticsearchAIDataSource() CrestApps.Core.AI.Elasticsearch DataSource index-profile source, keyed ElasticsearchAIDataSourceSourceHandler, and AddCoreAIDataSourceRag()
AddAIMemory() / AddCoreElasticsearchAIMemorySource() CrestApps.Core.AI.Elasticsearch AIMemory index-profile source, profile handler, keyed IMemoryVectorSearchService

All keyed services use the provider name "Elasticsearch". Resolve them with [FromKeyedServices("Elasticsearch")], never unkeyed.

Read the full file on GitHub · 86 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. yesterday Changed · +26 lines · +102 tokens per session 2b40a0cde71e
  2. 1mo ago First seen · 60 lines · 23 tokens per session scan A a55f1262b3af

Subscribe to this mod's changes

crestapps-core-elasticsearch is a skill published in the GitHub repository CrestApps/CrestApps.AgentSkills (13 stars, last pushed yesterday), licensed MIT. It adds 125 tokens to every session and 1,335 once invoked, about $0.0005 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.

Related

Other skills, from other repositories

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

vector-collection-management

Create, populate, list, and delete vector-store collections through the vector-mcp MCP server's vectorcollectionmanagement tool. Use when the agent must stand up a new RAG collection, ingest documents (from a directory, file paths/URLs, or raw text) into an existing collection, enumerate collections, or drop one …

Knuckles-Team/vector-mcp · 123 tokens

vector-mcp-operations

Operate vector-mcp through its governed MCP and Arbora capabilities. Use for collection lifecycle, root-confined document ingestion, semantic or lexical retrieval, hybrid search, backend readiness, troubleshooting, and sanitized verification evidence.

Knuckles-Team/vector-mcp · 48 tokens

pinecone

Managed vector DB for production RAG and search.

NousResearch/hermes-agent · 13 tokens

qdrant-search-quality-diagnosis

Diagnoses Qdrant search quality issues. Use when someone reports 'results are bad', 'wrong results', 'not relevant results', 'missing matches', 'recall is low', 'approximate search worse than exact', 'which embedding model', 'quality dropped after quantization', 'how to measure retrieval quality', 'build a golden…

truera/trulens · 104 tokens

microsoft-extensions-ai

Build provider-agnostic .NET AI integrations with Microsoft.Extensions.AI, IChatClient, embeddings, middleware, structured output, vector search, and evaluation. USE FOR: building or reviewing .NET code that uses Microsoft.Extensions.AI, Microsoft.Extensions.AI.Abstractions, IChatClient, IEmbeddingGenerator…

managedcode/dotnet-skills · 128 tokens