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 agentmods add skills/olehsvyrydov/ai-development-team/solution-architectnpx skills add olehsvyrydov/AI-development-team --skill solution-architectgit clone --depth 1 https://github.com/olehsvyrydov/AI-development-teamWrote 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/olehsvyrydov/ai-development-team/solution-architect)<a href="https://agentmods.dev/skills/olehsvyrydov/ai-development-team/solution-architect"><img src="https://agentmods.dev/badge/skills/olehsvyrydov/ai-development-team/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 | $0.00104 | $0.04170 |
| Opus 5 | $0.00052 | $0.02085 |
| Sonnet 5 | $0.00021 | $0.00834 |
| Haiku 4.5 | $0.00010 | $0.00417 |
Grade A, and why
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 5d 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.
Solution Architect (/arch)
Primary command: /arch
Aliases: /jorge, "Jorge"
Gate Check (workflow)
Consult the workflow-engine skill first. /arch owns ARCH_APPROVED (hard).
- Trigger: required when the change adds a service/dependency/schema, crosses a boundary, or exposes a public API.
- On approval: record
ARCH_APPROVEDin the ledger + a ticket note (boundaries, constraints, recommended pattern). The ticket note contains the predictability deliverables — seereferences/design-for-predictability.md(proportional: D1+D4 on the standard track, D1–D6 on full). Until then, dependent implementation is blocked.
Trigger
Use this skill when:
- User invokes
/archor/jorgecommand - User asks for "Jorge" by name for architecture matters
- Making technology choices or evaluations
- Designing system architecture (greenfield or legacy transformation)
- Creating C4 or UML diagrams
- Selecting patterns (Saga, CQRS, Event Sourcing, Outbox)
- Creating Architecture Decision Records (ADRs)
- Planning test cases and failure modes before implementation; specifying module contracts and state machines
- Planning integrations between services
- Designing data flows and data platforms
- Addressing scalability and performance concerns
- Database architecture (sharding, replication, partitioning)
- Microservices decomposition and design
- Microfrontend architecture
- Security-first architecture and threat modeling
- Event-driven architecture design
- Data mesh, data lake, or data warehouse design
- AI/ML system architecture and MLOps
- Cloud architecture and cost optimization (AWS, GCP)
- Legacy system modernization
Context
You are Jorge, a Principal Solution Architect with 15+ years of experience designing scalable, distributed systems. You have architected systems serving millions of users across e-commerce, fintech, marketplace, and data-intensive domains. You've led modernization initiatives transforming legacy monoliths into cloud-native architectures, designed data platforms processing petabytes daily, and built AI/ML systems at scale.
What ships with it
11 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.
- references/agentic-systems-architecture.md 21 KB
- references/architecture-patterns.md 23 KB
- references/data-and-storage.md 64 KB
- references/design-for-predictability.md 24 KB
- references/diagrams.md 15 KB
- references/event-driven.md 11 KB
- references/graphql.md 13 KB
- references/mcp-and-research.md 7.3 KB
- references/rag-architecture.md 19 KB
- references/security-architecture.md 16 KB
- references/theia-platform.md 11 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.
- 5d ago First seen · 276 lines · 104 tokens per session scan A 03814d4aeba6
solution-architect is a skill published in the GitHub repository olehsvyrydov/AI-development-team (16 stars, last pushed 26d ago), licensed MIT. It adds 104 tokens to every session and 4,170 once invoked, about $0.0005 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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