opensearch-launchpad

opensearch-launchpad is a skill for Claude Code from opensearch-project/opensearch-agent-skills. It costs 101 tokens per session (2,327 once invoked), scanned A, original, Apache-2.0.

A guide for building search applications with OpenSearch, a search engine for indexing and finding documents. It covers approaches such as keyword, semantic, vector, and hybrid search.

In plain words
What is it for?
Use it to set up indexes, ingest PDFs and other documents, configure embeddings or vector search, and build search or RAG applications.
Why use it?
It helps turn search requirements into a working local or AWS-based OpenSearch setup, including document processing and retrieval-augmented generation (RAG).

Skill for Claude Code

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

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is bash scripts/start_opensearch.sh.

Part of the opensearch-agent-skills plugin — 13 skills shipped together

Good fit Use it to set up indexes, ingest PDFs and other documents, configure embeddings or vector search, and build search or RAG applications.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/opensearch-project/opensearch-agent-skills
agentmods
npx agentmods add skills/opensearch-project/opensearch-agent-skills/opensearch-launchpad

Made for: Claude Code.

Or install opensearch-agent-skills, the plugin that ships this one along with the rest of its 13 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 opensearch-launchpad

README.md
[![agentmods](https://agentmods.dev/badge/skills/opensearch-project/opensearch-agent-skills/opensearch-launchpad/github.svg)](https://agentmods.dev/skills/opensearch-project/opensearch-agent-skills/opensearch-launchpad)
Your own site
<a href="https://agentmods.dev/skills/opensearch-project/opensearch-agent-skills/opensearch-launchpad"><img src="https://agentmods.dev/badge/skills/opensearch-project/opensearch-agent-skills/opensearch-launchpad/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 opensearch-launchpad

Your own site · 80×15
<a href="https://agentmods.dev/skills/opensearch-project/opensearch-agent-skills/opensearch-launchpad"><img src="https://agentmods.dev/badge/skills/opensearch-project/opensearch-agent-skills/opensearch-launchpad.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,327 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 $0.00101 $0.02327
Opus 5 $0.00051 $0.01163
Sonnet 5 $0.00020 $0.00465
Haiku 4.5 $0.00010 $0.00233

Measured 11d ago against content hash 5bfedb5ffcd9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

opensearch-launchpad 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 11d 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.

skills/opensearch-skills/search/opensearch-launchpad/SKILL.md · 241 lines

How it starts

The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenSearch Launchpad

You are an OpenSearch solution architect. You guide users from initial requirements to a running search setup.

Prerequisites

  • uv installed (for running Python scripts)
  • The skill directory available locally
  • Target local: Docker installed and running
  • Target aws: AWS credentials configured (no Docker needed)

Optional MCP Servers

{
  "mcpServers": {
    "ddg-search": {
      "command": "uvx",
      "args": ["duckduckgo-mcp-server"]
    },
    "opensearch-mcp-server": {
      "command": "uvx",
      "args": ["opensearch-mcp-server-py@latest"],
      "env": { "FASTMCP_LOG_LEVEL": "ERROR" }
    }
  }
}
  • ddg-search — Search OpenSearch documentation. Use search(query="site:opensearch.org <your query>").
  • opensearch-mcp-server — Direct OpenSearch API access. Handles SigV4 auth for AOS/AOSS transparently.

opensearch-mcp-server Configuration Variants

For basic auth (local/self-managed):

{
  "opensearch-mcp-server": {
    "command": "uvx",
    "args": ["opensearch-mcp-server-py@latest"],
    "env": {
      "OPENSEARCH_URL": "<endpoint_url>",
      "OPENSEARCH_USERNAME": "<username>",
      "OPENSEARCH_PASSWORD": "<password>",
      "OPENSEARCH_SSL_VERIFY": "false",
      "FASTMCP_LOG_LEVEL": "ERROR"
    }
  }
}

For Amazon OpenSearch Service (AOS):

{
  "opensearch-mcp-server": {
    "command": "uvx",
    "args": ["opensearch-mcp-server-py@latest"],
    "env": {
      "OPENSEARCH_URL": "<endpoint_url>",
      "AWS_REGION": "<region>",
      "AWS_PROFILE": "<profile>",
      "FASTMCP_LOG_LEVEL": "ERROR"
    }
  }
}

For Amazon OpenSearch Serverless (AOSS):

{
  "opensearch-mcp-server": {
    "command": "uvx",
    "args": ["opensearch-mcp-server-py@latest"],
    "env": {
      "OPENSEARCH_URL": "<endpoint_url>",
      "AWS_REGION": "<region>",
      "AWS_PROFILE": "<profile>",
      "AWS_OPENSEARCH_SERVERLESS": "true",
      "FASTMCP_LOG_LEVEL": "ERROR"
    }
  }
}

Read the full file on GitHub · 241 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 241 lines · 101 tokens per session scan A 5bfedb5ffcd9

Subscribe to this mod's changes

opensearch-launchpad is a skill published in the GitHub repository opensearch-project/opensearch-agent-skills (52 stars, last pushed 9d ago), licensed Apache-2.0. It adds 101 tokens to every session and 2,327 once invoked, about $0.0005 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 2026-08-30.

Related

Other skills, from other repositories

gemini-api-agent-platform

Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK for enterprise AI applications. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like Live API, tools, multimedia generation, caching, and batch prediction.

davila7/claude-code-templates · 61 tokens

open-source

Documentation reference for writing Python code using the browser-use open-source library. Use this skill whenever the user needs help with Agent, Browser, or Tools configuration, is writing code that imports from browseruse, asks about @sandbox deployment, supported LLM models, Actor API, custom tools, lifecycle…

browser-use/browser-use · 137 tokens

gemini-api-dev

Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. Covers SDK usage and best…

google-gemini/gemini-skills · 73 tokens

deepstream-sop

Use this skill when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP Inference Microservice — a GPU-accelerated FastAPI service that detects whether operators perform assembly-line steps in order via event boundary detection (GEBD) plus VLM classification. Trigger even if the…

NVIDIA/skills · 219 tokens

azure-search-documents-dotnet

Azure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search. Covers SearchClient (queries, document CRUD), SearchIndexClient (index management), and SearchIndexerClient (indexers, skillsets). Triggers: "Azure Search .NET"…

microsoft/skills · 102 tokens

azure-search-documents-ts

Build search applications using Azure AI Search SDK for JavaScript (@azure/search-documents). Use when creating/managing indexes, implementing vector/hybrid search, semantic ranking, or building agentic retrieval with knowledge bases.

microsoft/skills · 48 tokens