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 selvarajmurugesan90/ops-engineering-skills --skill multi-cloud-networking-patternsgit clone --depth 1 https://github.com/selvarajmurugesan90/ops-engineering-skillsWrote 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/selvarajmurugesan90/ops-engineering-skills/multi-cloud-networking-patterns)<a href="https://agentmods.dev/skills/selvarajmurugesan90/ops-engineering-skills/multi-cloud-networking-patterns"><img src="https://agentmods.dev/badge/skills/selvarajmurugesan90/ops-engineering-skills/multi-cloud-networking-patterns/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/selvarajmurugesan90/ops-engineering-skills/multi-cloud-networking-patterns"><img src="https://agentmods.dev/badge/skills/selvarajmurugesan90/ops-engineering-skills/multi-cloud-networking-patterns.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 | $0.00127 | $0.03265 |
| Opus 5.5 | $0.00051 | $0.01306 |
| Sonnet 5.5 | $0.00025 | $0.00653 |
| Haiku 4.5 | $0.00013 | $0.00327 |
Grade A, and why
multi-cloud-networking-patterns 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 1mo 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.
Multi-Cloud Networking Patterns
Purpose
Network design decisions made when the first VPC/VNet is created are among the hardest to unwind later — overlapping CIDR blocks block future peering, a flat network with no segmentation makes blast-radius containment impossible, and ad hoc point-to-point VPN connections become an unmanageable mesh as account/subscription/project count grows. This skill defines the hub-and-spoke (or transit) topology pattern that scales across AWS, Azure, and GCP, the IP address management (IPAM) discipline that prevents collisions, and the connectivity options (VPN, dedicated interconnects, private endpoints) for both intra-cloud and cross-cloud traffic — so networking is a deliberate, centrally managed layer rather than an emergent mess of one-off peering connections.
When to use
- Designing the network topology for a new landing zone (paired with the
relevant
*-landing-zone-setupskill). - Connecting a new spoke VPC/VNet/project-VPC to existing shared network infrastructure.
- Planning IP address ranges across accounts/subscriptions/projects before any are created, to avoid future collisions.
- Setting up a site-to-site VPN or dedicated connection (AWS Direct Connect, Azure ExpressRoute, GCP Cloud Interconnect) to on-premises.
- Connecting workloads across cloud providers (e.g. an AWS-hosted service calling a GCP-hosted data warehouse privately).
- Replacing public-endpoint access to managed services (databases, storage, message queues) with private connectivity.
- Diagnosing "why can't service A reach service B" across account/ subscription/project or VPC/VNet boundaries.
Prerequisites & environment
- The relevant landing zone (AWS Organizations/Control Tower, Azure
Management Groups, or GCP folders) already exists, since network hub
placement follows the account/subscription/project structure — see
the three
*-landing-zone-setupskills. - Terraform ≥ 1.5 with the relevant provider(s) if managing network
infrastructure as code; for cross-cloud Terraform, expect to run
multiple provider blocks (
aws,azurerm,google) in the same or linked configurations. - A single source of truth for IP address allocation before any VPC/VNet is created — a spreadsheet-as-code, AWS VPC IPAM, Azure Virtual Network Manager IPAM, or a third-party tool (e.g. phpIPAM, NetBox) for anything beyond a handful of networks.
- Decide the connectivity model up front: hub-and-spoke (single hub per region handles all shared connectivity/inspection) vs. full transit (AWS Transit Gateway / Azure Virtual WAN / GCP Network Connectivity Center) for topologies spanning many regions or requiring dynamic routing at scale.
- For cross-cloud connectivity: an understanding of which side initiates the VPN (each cloud's VPN gateway has different BGP ASN defaults and quirks — confirm compatible IKE/IPsec parameters before provisioning).
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.
- 1mo ago First seen · 274 lines · 127 tokens per session scan A 2f4c3ec8360e
multi-cloud-networking-patterns is a skill published in the GitHub repository selvarajmurugesan90/ops-engineering-skills (42 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 127 tokens to every session and 3,265 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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