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 ancoleman/ai-design-components --skill architecting-networksgit clone --depth 1 https://github.com/ancoleman/ai-design-componentsWrote 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/ancoleman/ai-design-components/architecting-networks)<a href="https://agentmods.dev/skills/ancoleman/ai-design-components/architecting-networks"><img src="https://agentmods.dev/badge/skills/ancoleman/ai-design-components/architecting-networks/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/ancoleman/ai-design-components/architecting-networks"><img src="https://agentmods.dev/badge/skills/ancoleman/ai-design-components/architecting-networks.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 | $0.00046 | $0.03653 |
| Opus 5 | $0.00023 | $0.01826 |
| Sonnet 5 | $0.00009 | $0.00731 |
| Haiku 4.5 | $0.00005 | $0.00365 |
Grade A, and why
architecting-networks 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 9d 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 — 491 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Network Architecture
Design secure, scalable cloud network architectures using proven patterns across AWS, GCP, and Azure. This skill provides decision frameworks for VPC design, subnet strategy, zero trust implementation, and hybrid connectivity.
When to Use This Skill
Invoke this skill when:
- Designing VPC/VNet topology for new cloud environments
- Implementing network segmentation and security controls
- Planning multi-VPC or multi-cloud connectivity
- Establishing hybrid cloud connectivity (on-premises to cloud)
- Migrating from flat network to sophisticated architecture
- Implementing zero trust network principles
- Optimizing network costs and performance
Core Network Architecture Patterns
Pattern 1: Flat (Single VPC) Architecture
Use When: Small applications, single environment, simple security requirements, team < 10 engineers
Characteristics:
- All resources in one VPC with subnet-level segmentation
- Public, private, and database subnet tiers
- Simplest to understand and manage
- No inter-VPC routing complexity
Tradeoffs:
- ✓ Lowest cost, fastest to set up
- ✗ Poor isolation, difficult to scale, entire VPC is blast radius
Pattern 2: Multi-VPC (Isolated) Architecture
Use When: Multiple environments (dev/staging/prod), strong isolation requirements, compliance mandates separation
Characteristics:
- Separate VPCs per environment or workload
- No direct connectivity without explicit setup
- Independent CIDR ranges
Tradeoffs:
- ✓ Strong blast radius containment, clear security boundaries
- ✗ Management overhead, duplicate infrastructure, higher costs
Pattern 3: Hub-and-Spoke (Transit Gateway) Architecture
Use When: 5+ VPCs need communication, centralized security inspection required, hybrid connectivity, multi-account setup
Characteristics:
- Central hub VPC/Transit Gateway
- Spoke VPCs connect to hub
- All inter-VPC traffic routes through hub
Tradeoffs:
- ✓ Simplified routing, centralized security, scales easily (100+ VPCs)
- ✗ Transit Gateway costs (~$0.05/hour + $0.02/GB), increased latency (hub hop)
What ships with it
14 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.
- examples/aws/flat-vpc-example.tf 7.5 KB
- examples/aws/hub-spoke-tgw-example.tf 8.4 KB
- outputs.yaml 7.2 KB
- references/cost-optimization.md 1.8 KB
- references/hybrid-connectivity.md 17 KB
- references/multi-cloud-networking.md 1.2 KB
- references/multi-region-networking.md 2.6 KB
- references/network-observability.md 1.7 KB
- references/private-networking.md 1.5 KB
- references/security-controls.md 1.2 KB
- references/subnet-strategy.md 11 KB
- references/vpc-design-patterns.md 18 KB
- references/zero-trust-networking.md 17 KB
- scripts/cidr-calculator.py 6.5 KB runs code
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.
- 9d ago First seen · 491 lines · 46 tokens per session scan A bde30e05e2a8
architecting-networks is a skill published in the GitHub repository ancoleman/ai-design-components (519 stars, last pushed 9mo ago), licensed MIT. It adds 46 tokens to every session and 3,653 once invoked, about $0.0002 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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