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.
npx skills add aws/tools-for-devops-agent --skill analytics-opensearch-expertisegit clone --depth 1 https://github.com/aws/tools-for-devops-agentWrote 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/aws/tools-for-devops-agent/analytics-opensearch-expertise)<a href="https://agentmods.dev/skills/aws/tools-for-devops-agent/analytics-opensearch-expertise"><img src="https://agentmods.dev/badge/skills/aws/tools-for-devops-agent/analytics-opensearch-expertise/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/aws/tools-for-devops-agent/analytics-opensearch-expertise"><img src="https://agentmods.dev/badge/skills/aws/tools-for-devops-agent/analytics-opensearch-expertise.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 | $0.00136 | $0.07221 |
| Opus 5.5 | $0.00054 | $0.02888 |
| Sonnet 5.5 | $0.00027 | $0.01444 |
| Haiku 4.5 | $0.00014 | $0.00722 |
Grade A, and why
analytics-opensearch-expertise 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 6d 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 — 401 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenSearch Domain Health Assessment
Overview
This skill performs a comprehensive, read-only health assessment of Amazon OpenSearch Service domains using AWS APIs available through the customer's local AWS profile. It produces a structured report with findings and actionable recommendations.
Scope: CLI-agent compatible. No external packages, no IDE workspace, no human review gates.
Trigger Keywords
opensearch, opensearch health, domain health, cluster review, opensearch review, opensearch assessment, opensearch check, open search, opensearch performance, opensearch security, opensearch cost
Prerequisites
- AWS CLI profile configured with read-only access to the target account
- IAM permissions required:
es:DescribeDomaines:DescribeDomainHealthes:GetCompatibleVersionses:DescribeReservedInstanceses:ListDomainNamescloudwatch:GetMetricData
Execution Flow
Input
Required: Domain ARN (e.g., arn:aws:es:us-west-2:123456789012:domain/my-domain)
Parse the ARN to extract:
- Region: field 4 (e.g.,
us-west-2) - Account ID: field 5 (e.g.,
123456789012) - Domain name: after
domain/in field 6
Fallback / Target Resolution (apply these rules exactly — never silently substitute a target):
- Exact match: the ARN (or name + region) resolves via
DescribeDomain→ proceed with the assessment. - No domain specified: run
ListDomainNamesin the user's likely region(s) (cross-region scan if needed) and present the discovered domains as options for the user to choose. Do not pick one yourself unless exactly one domain exists in the entire account — state that you did so. - Specified but NOT found: search for candidates (
ListDomainNamesin the ARN's region, then other regions). Then STOP and confirm — do NOT assess:- Report clearly: "Domain {given} not found in {region}."
- List the closest candidate(s) with their regions (e.g., name differs by a suffix, or same name in another region).
- Ask the user to confirm which domain to assess. Never run the assessment against a domain the user did not name without their explicit confirmation — in accounts with similarly-named sibling domains (e.g.,
prod-es-content/prod-es-users), a silently substituted target produces a confident report about the wrong domain, which is worse than an error.
- If the user provides only a domain name with no region, ask for the region (or apply rule 3's candidate search).
What ships with it
9 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.
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.
- 6d ago Changed 95934da65682
- 1mo ago First seen · 401 lines · 136 tokens per session scan A d49c0c136044
analytics-opensearch-expertise is a skill published in the GitHub repository aws/tools-for-devops-agent (113 stars, last pushed 2d ago), licensed Apache-2.0. It adds 136 tokens to every session and 7,221 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.
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