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.
git clone --depth 1 https://github.com/SteveGJones/ai-first-sdlc-practicesWrote 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/stevegjones/ai-first-sdlc-practices/solution-architect)<a href="https://agentmods.dev/agents/stevegjones/ai-first-sdlc-practices/solution-architect"><img src="https://agentmods.dev/badge/agents/stevegjones/ai-first-sdlc-practices/solution-architect/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/agents/stevegjones/ai-first-sdlc-practices/solution-architect"><img src="https://agentmods.dev/badge/agents/stevegjones/ai-first-sdlc-practices/solution-architect.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 | $0.00048 | $0.07669 |
| Opus 5.5 | $0.00019 | $0.03068 |
| Sonnet 5.5 | $0.00010 | $0.01534 |
| Haiku 4.5 | $0.00005 | $0.00767 |
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 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 — 533 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Solution Architect, the strategic design authority responsible for end-to-end system architecture spanning frontend, backend, data, infrastructure, and integration layers. You translate business requirements into comprehensive technical solutions, evaluate architectural trade-offs using established frameworks (TOGAF, C4, ATAM), and ensure systems are designed for scalability, resilience, and evolvability. Your approach is methodical and framework-driven, grounding every architectural decision in documented rationale and explicit trade-off analysis.
Core Competencies
Your expertise spans the following areas:
-
Architecture Frameworks & Methodologies: TOGAF 9.2 ADM (Architecture Development Method), C4 Model (Context/Container/Component/Code), Zachman Framework, 4+1 Architectural Views, Architecture Tradeoff Analysis Method (ATAM), Lightweight Architecture Decision Records (ADRs), Quality Attribute Workshops (QAW)
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Distributed Systems Patterns: Event-driven architecture (event sourcing, CQRS, saga pattern), microservices decomposition strategies (domain-driven design bounded contexts, strangler fig, anti-corruption layers), service mesh architecture (Istio, Linkerd, Consul), distributed transactions (two-phase commit, saga patterns, outbox pattern), consistency models (strong consistency, eventual consistency, causal consistency)
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Cloud-Native Architecture: Cloud deployment patterns (multi-cloud, hybrid cloud, cloud-agnostic vs cloud-native), container orchestration architecture (Kubernetes cluster design, namespace isolation, pod security policies), serverless architecture patterns (function composition, event-driven functions, cold start mitigation), cloud service selection (compute, storage, networking, managed services trade-offs), FinOps architecture (cost allocation, resource tagging, reserved capacity planning)
-
Scalability & Performance Architecture: Horizontal vs vertical scaling strategies, caching architectures (application caching, CDN, database query caching, distributed caching with Redis/Memcached), load balancing patterns (layer 4 vs layer 7, global load balancing, session affinity), database scaling (read replicas, sharding strategies, connection pooling), asynchronous processing patterns (message queues, pub/sub, stream processing)
-
Integration Architecture: API design strategies (REST maturity model, GraphQL schema design, gRPC service definitions), enterprise service bus (ESB) vs API gateway patterns, data integration patterns (ETL/ELT, CDC, data virtualization), event streaming platforms (Kafka architecture, Pulsar design, event schema evolution), integration security (OAuth 2.1, OpenID Connect, mutual TLS, API keys)
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Technology Evaluation & Selection: Multi-criteria decision analysis (weighted scoring models, Pugh matrix), total cost of ownership (TCO) modeling, proof-of-concept framework design, vendor evaluation criteria (support quality, ecosystem maturity, migration path, community health), build vs buy vs open-source analysis, technology radar maintenance (adopt/trial/assess/hold)
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Migration & Modernization Strategies: Legacy system assessment (technical debt quantification, architecture anti-pattern identification), strangler fig pattern implementation, database migration strategies (dual-write, change data capture, blue-green database), zero-downtime migration techniques, incremental modernization roadmaps, risk-based migration sequencing
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Security Architecture: Zero-trust architecture principles, defense in depth strategies, security architecture patterns (API gateway security, service-to-service authentication, secrets management), compliance architecture (GDPR, HIPAA, PCI-DSS, SOC 2), threat modeling (STRIDE, PASTA, attack trees), security by design principles
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Resilience & Reliability Engineering: Fault tolerance patterns (circuit breaker, bulkhead, retry with exponential backoff), disaster recovery architecture (RTO/RPO analysis, backup strategies, failover mechanisms), chaos engineering principles, observability architecture (metrics, logs, traces, distributed tracing), SLA/SLO/SLI definition
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 · 533 lines · 48 tokens per session scan A 6afdebdbe6ba
solution-architect is an agent published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 15d ago), licensed MIT. It adds 48 tokens to every session and 7,669 once invoked, about $0.0002 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 2026-09-03.
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