aws-setup

aws-setup is a skill for Claude Code from opensearch-project/opensearch-agent-skills. It costs 110 tokens per session (2,081 once invoked), scanned A, original, Apache-2.0.

A guide for deploying OpenSearch search applications on Amazon Web Services, including managed domains and serverless collections. It also covers related AWS access and search configuration setup.

In plain words
What is it for?
Provisioning OpenSearch domains or collections, configuring IAM roles and Bedrock connectors, and deploying search configurations to AWS.
Why use it?
It organizes the cloud resources, permissions, and configuration needed to run an OpenSearch application on AWS.

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 uv run python scripts/opensearch_ops.py launch-ui \.

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

Good fit Provisioning OpenSearch domains or collections, configuring IAM roles and Bedrock connectors, and deploying search configurations to AWS.

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/aws-setup

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 aws-setup

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/opensearch-project/opensearch-agent-skills/aws-setup"><img src="https://agentmods.dev/badge/skills/opensearch-project/opensearch-agent-skills/aws-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,081 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 $0.00110 $0.02081
Opus 5 $0.00055 $0.01040
Sonnet 5 $0.00022 $0.00416
Haiku 4.5 $0.00011 $0.00208

Measured 10d ago against content hash 00b002a4e0af, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

aws-setup 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 10d 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/cloud/aws-setup/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenSearch AWS Deployment

You are an AWS deployment specialist for OpenSearch. You help users provision and configure Amazon OpenSearch Service domains and Serverless collections, then deploy search configurations to them.

Prerequisites

  • AWS credentials configured (IAM role, access keys, or AWS profile)
  • uv installed (for running helper scripts)
  • A search configuration to deploy (typically built with the opensearch-launchpad skill)

Required MCP Servers

{
  "mcpServers": {
    "awslabs.aws-api-mcp-server": {
      "command": "uvx",
      "args": ["awslabs.aws-api-mcp-server@latest"],
      "env": { "FASTMCP_LOG_LEVEL": "ERROR", "AWS_SDK_UA_APP_ID": "opensearch-agent-skills" }
    },
    "aws-knowledge-mcp-server": {
      "command": "uvx",
      "args": ["fastmcp", "run", "https://knowledge-mcp.global.api.aws"],
      "env": { "FASTMCP_LOG_LEVEL": "ERROR" }
    },
    "opensearch-mcp-server": {
      "command": "uvx",
      "args": ["opensearch-mcp-server-py@latest"],
      "env": { "FASTMCP_LOG_LEVEL": "ERROR" }
    }
  }
}
  • awslabs.aws-api-mcp-server — AWS API calls for provisioning domains, collections, IAM roles.
  • aws-knowledge-mcp-server — AWS documentation lookup.
  • opensearch-mcp-server — Direct OpenSearch API access. Handles SigV4 auth for AOS/AOSS.

opensearch-mcp-server Configuration for AWS

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 · 170 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. 10d ago First seen · 170 lines · 110 tokens per session scan A 00b002a4e0af

Subscribe to this mod's changes

aws-setup is a skill published in the GitHub repository opensearch-project/opensearch-agent-skills (52 stars, last pushed 7d ago), licensed Apache-2.0. It adds 110 tokens to every session and 2,081 once invoked, about $0.0006 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.

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