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.
git clone --depth 1 https://github.com/opensearch-project/opensearch-agent-skillsnpx agentmods add skills/opensearch-project/opensearch-agent-skills/aws-setupWrote 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.
[](https://agentmods.dev/skills/opensearch-project/opensearch-agent-skills/aws-setup)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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)
uvinstalled (for running helper scripts)- A search configuration to deploy (typically built with the
opensearch-launchpadskill)
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"
}
}
}
What ships with it
10 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.
- aos/domain-01-provision.md 2.8 KB
- aos/domain-02-deploy-search.md 3.8 KB
- aos/domain-03-agentic-setup.md 5.5 KB
- aoss/aoss-nextgen-provisioning/ADVANCED.md 6.1 KB
- aoss/aoss-nextgen-provisioning/DEPROVISION.md 2.9 KB
- aoss/aoss-nextgen-provisioning/ERRORS.md 2.5 KB
- aoss/aoss-nextgen-provisioning/SKILL.md 10 KB
- aoss/serverless-02-deploy-search.md 8.6 KB
- aoss/serverless-04-agentic-setup.md 7.5 KB
- reference.md 2.0 KB
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.
- 10d ago First seen · 170 lines · 110 tokens per session scan A 00b002a4e0af
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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