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 storage-fsx-windows-sla-optimizergit 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/storage-fsx-windows-sla-optimizer)<a href="https://agentmods.dev/skills/aws/tools-for-devops-agent/storage-fsx-windows-sla-optimizer"><img src="https://agentmods.dev/badge/skills/aws/tools-for-devops-agent/storage-fsx-windows-sla-optimizer/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/storage-fsx-windows-sla-optimizer"><img src="https://agentmods.dev/badge/skills/aws/tools-for-devops-agent/storage-fsx-windows-sla-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00224 | $0.03226 |
| Opus 5.5 | $0.00090 | $0.01290 |
| Sonnet 5.5 | $0.00045 | $0.00645 |
| Haiku 4.5 | $0.00022 | $0.00323 |
Grade A, and why
storage-fsx-windows-sla-optimizer 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 20d 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 — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FSx for Windows SLA Optimizer
Perform a structured, read-only SLA-readiness and availability review of Amazon FSx for Windows File Server file systems, and surface cost-optimization opportunities where capacity is over-provisioned. Automatically handles single-file-system and multi-file-system (fleet) reviews based on how many file systems are provided.
The availability SLA for FSx for Windows is only actually achievable when the file system is configured correctly: Multi-AZ for automatic failover, healthy Active Directory connectivity, enough throughput and storage headroom, working backups, a sensible maintenance window, and alarms to detect problems before they become outages. This skill checks those factors and rates each file system's readiness.
When to Use
Activate this skill when the user asks to:
- Review, audit, assess, or optimize an FSx for Windows file system's SLA, availability, uptime, failover readiness, or resiliency
- Determine whether a file system is Single-AZ or Multi-AZ, or whether it should be
- Understand why a file system is in a Misconfigured state
- Check whether throughput capacity or storage capacity is under-provisioned (SLA risk) or over-provisioned (cost waste / right-sizing)
- Verify backups, maintenance window, and CloudWatch alarm coverage
- Review a list of file systems ("review these file systems: fs-a, fs-b")
Do NOT activate for FSx for NetApp ONTAP / Lustre / OpenZFS, EFS, S3, EBS, the AWS Backup service, FSx data migration, or SMB share-permission troubleshooting.
Architecture
- This skill (orchestrator/analyzer): input parsing, routing, finding-logic application, report rendering.
- Data collection:
references/data-collection.md— the read-only control-plane API calls used to gather file-system configuration plus daily trend and 5-minute peak metric series. Data is acquired with the agent's nativeuse_awstool under the assumed role in the target account. No credentials or profile are requested from the user. - Trend analysis:
references/trend-analysis.md— the usage-pattern method (daily trends, approximate 5-minute interval peaks, weekday/weekend profile, storage growth projection, and idle detection) that enriches the throughput and storage dimensions. Default lookback 30 days. - Finding logic:
references/finding-logic.md— all severity rules and body templates for the seven dimensions and the cost-optimization notes. - Report format:
references/report-format.md— report structure, SLA Readiness rating criteria, dimensions table, pre-render validation. - Fleet orchestration:
references/fleet-orchestration.md— batching, caching, manifest, summary matrix (loaded only for multi-file-system reviews). - Operational depth:
references/fsx-windows-sla-best-practices.md— reasoning behind thresholds, the Multi-AZ availability model, the Active Directory dependency, the throughput sizing formula, and the cost-vs-SLA tradeoff.
What ships with it
16 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.
- .skilleval.yaml 77 B
- CHANGELOG.md 5.6 KB
- evals/eval_queries.json 1.1 KB
- evals/evals.json 13 KB
- evals/files/fsx-context.json 875 B
- evals/files/misconfigured-ad-credentials.json 3.2 KB
- evals/files/trend-idle.json 2.3 KB
- evals/files/trend-storage-filler.json 2.2 KB
- evals/files/trend-weekday-peaker.json 2.3 KB
- README.md 13 KB
- references/data-collection.md 14 KB
- references/finding-logic.md 22 KB
- references/fleet-orchestration.md 4.2 KB
- references/fsx-windows-sla-best-practices.md 9.5 KB
- references/report-format.md 10 KB
- references/trend-analysis.md 9.6 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.
- 20d ago First seen · 274 lines · 224 tokens per session scan A b14b74cd81d7
storage-fsx-windows-sla-optimizer is a skill published in the GitHub repository aws/tools-for-devops-agent (107 stars, last pushed today), licensed Apache-2.0. It adds 224 tokens to every session and 3,226 once invoked, about $0.0009 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 2026-09-26.
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