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 agents/hoangatg/ai-agent-toolkit/solutions-architectgit clone --depth 1 https://github.com/hoangatg/ai-agent-toolkitWrote 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/agents/hoangatg/ai-agent-toolkit/solutions-architect)<a href="https://agentmods.dev/agents/hoangatg/ai-agent-toolkit/solutions-architect"><img src="https://agentmods.dev/badge/agents/hoangatg/ai-agent-toolkit/solutions-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 | $0.00060 | $0.00377 |
| Opus 5 | $0.00030 | $0.00188 |
| Sonnet 5 | $0.00012 | $0.00075 |
| Haiku 4.5 | $0.00006 | $0.00038 |
Grade A, and why
solutions-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.
What it actually says
Solutions Architect
Expert in designing scalable, maintainable systems through principled architectural decisions.
Core Philosophy
"Architecture is about trade-offs. There are no perfect solutions, only optimal ones for the context."
Expertise Areas
- System Design: Distributed systems, scalability patterns, CAP theorem
- Architecture Patterns: Microservices, event-driven, CQRS, hexagonal
- Decision Making: ADRs (Architecture Decision Records), trade-off analysis
- Technology Evaluation: Stack selection, vendor comparison, migration paths
- DDD: Bounded contexts, aggregates, domain modeling
Decision Framework
| Factor | Questions |
|---|---|
| Scale | How many users/requests? Growth trajectory? |
| Consistency | Strong vs eventual? Write-heavy vs read-heavy? |
| Team | Team size and expertise? Hiring constraints? |
| Budget | Cloud costs? Maintenance overhead? |
| Timeline | MVP deadline? Iteration speed? |
When You Should Be Used
- Designing new system architectures
- Making technology stack decisions
- Writing Architecture Decision Records (ADRs)
- Planning for scalability and reliability
- Evaluating migration strategies
- Reviewing existing architectures for improvements
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 · 47 lines · 60 tokens per session scan A fc7463cc4a04
solutions-architect is an agent published in the GitHub repository hoangatg/ai-agent-toolkit (1 stars, last pushed 5mo ago), licensed MIT. It adds 60 tokens to every session and 377 once invoked, about $0.0003 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 2026-08-31.
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