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 fabioc-aloha/Alex_Skill_Mall --skill cloud-solution-architectgit clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_MallWrote 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/fabioc-aloha/alex_skill_mall/cloud-solution-architect)<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/cloud-solution-architect"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/cloud-solution-architect.svg" alt="Measured on agentmods" 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 | $0.00036 | $0.03212 |
| Opus 5 | $0.00018 | $0.01606 |
| Sonnet 5 | $0.00007 | $0.00642 |
| Haiku 4.5 | $0.00004 | $0.00321 |
Grade A, and why
cloud-solution-architect 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 4d 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 — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cloud Solution Architect
Design well-architected, production-grade cloud systems following Azure Architecture Center best practices
Ten Design Principles for Azure Applications
| # | Principle | Key Tactics |
|---|---|---|
| 1 | Design for self-healing | Retry with backoff, circuit breaker, bulkhead isolation, health endpoint monitoring, graceful degradation |
| 2 | Make all things redundant | Eliminate single points of failure, use availability zones, deploy multi-region, replicate data |
| 3 | Minimize coordination | Decouple services, use async messaging, embrace eventual consistency, use domain events |
| 4 | Design to scale out | Horizontal scaling, autoscaling rules, stateless services, avoid session stickiness, partition workloads |
| 5 | Partition around limits | Data partitioning (shard/hash/range), respect compute & network limits, use CDNs for static content |
| 6 | Design for operations | Structured logging, distributed tracing, metrics & dashboards, runbook automation, infrastructure as code |
| 7 | Use managed services | Prefer PaaS over IaaS, reduce operational burden, leverage built-in HA/DR/scaling |
| 8 | Use an identity service | Microsoft Entra ID, managed identity, RBAC, avoid storing credentials, zero-trust principles |
| 9 | Design for evolution | Loose coupling, versioned APIs, backward compatibility, async messaging for integration, feature flags |
| 10 | Build for business needs | Define SLAs/SLOs, establish RTO/RPO targets, domain-driven design, cost modeling, composite SLAs |
Architecture Styles
| Style | Description | When to Use | Key Services |
|---|---|---|---|
| N-tier | Horizontal layers (presentation, business, data) | Traditional enterprise apps, lift-and-shift | App Service, SQL Database, VNets |
| Web-Queue-Worker | Web frontend → message queue → backend worker | Moderate-complexity apps with long-running tasks | App Service, Service Bus, Functions |
| Microservices | Small autonomous services, bounded contexts, independent deploy | Complex domains, independent team scaling | AKS, Container Apps, API Management |
| Event-driven | Pub/sub model, event producers/consumers | Real-time processing, IoT, reactive systems | Event Hubs, Event Grid, Functions |
| Big data | Batch + stream processing pipeline | Analytics, ML pipelines, large-scale data | Synapse, Data Factory, Databricks |
| Big compute | HPC, parallel processing | Simulations, modeling, rendering, genomics | Batch, CycleCloud, HPC VMs |
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.
- 4d ago First seen · 276 lines · 36 tokens per session scan A 9bee455a9c51
cloud-solution-architect is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 3,212 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 2026-09-03.
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