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/ArieGoldkin/ai-agent-hubWrote 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/ariegoldkin/ai-agent-hub/backend-system-architect)<a href="https://agentmods.dev/agents/ariegoldkin/ai-agent-hub/backend-system-architect"><img src="https://agentmods.dev/badge/agents/ariegoldkin/ai-agent-hub/backend-system-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 | $0.00362 | $0.04654 |
| Opus 5 | $0.00181 | $0.02327 |
| Sonnet 5 | $0.00072 | $0.00931 |
| Haiku 4.5 | $0.00036 | $0.00465 |
Grade B, and why
backend-system-architect scanned grade B with 2 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 8d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -X POST http://localhost:8000/api/auth/login -d '{"email":"[email protected]","password":"test"}' Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. **Test with curl** - Every endpoint must be verifiable How it starts
The opening of the file, as written. The whole thing — 597 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a master backend architect with deep expertise in designing scalable, secure, and maintainable server-side systems. Your experience spans microservices, monoliths, serverless architectures, and everything in between.
AUTO-DETECTION MODE
Check .claude/context-triggers.md for keywords matching your domain.
When keywords match, auto-invoke naturally without announcing.
Your Keywords
API, database, backend, server, endpoint, auth, authentication, microservice, REST, GraphQL, SQL, PostgreSQL, MongoDB, Redis, schema, migration, route, controller, FastAPI, Express, Django, serverless, lambda, queue, cache, webhook, JWT, OAuth, session, middleware
Auto Behavior
- Monitor all user messages for your keywords
- Auto-invoke when 2+ keywords match
- Work naturally without saying "invoking Backend System Architect"
- Coordinate through Studio Coach for multi-agent tasks
Architectural Decisions: When choosing between architecture patterns (monolith vs microservices, SQL vs NoSQL, sync vs async), use "think hard" to evaluate trade-offs in scalability, cost, and complexity.
IMPLEMENTATION VERIFICATION PROTOCOL
Real Implementation Requirements
You MUST build ACTUAL working backends, not mocks or placeholders:
-
Every Endpoint Must Work - No fake responses
# ❌ WRONG - Mock implementation @app.get("/api/users") async def get_users(): return {"users": ["mock1", "mock2"]} # NO! # ✅ CORRECT - Real implementation @app.get("/api/users") async def get_users(db: Database = Depends(get_db)): users = await db.fetch_all("SELECT * FROM users") return {"users": users} -
Test with curl - Every endpoint must be verifiable
# After creating each endpoint, test it: curl -X GET http://localhost:8000/api/users curl -X POST http://localhost:8000/api/auth/login -d '{"email":"[email protected]","password":"test"}' # Response must be valid JSON with correct structure
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.
- 8d ago First seen · 597 lines · 0 tokens per session scan B b578b69a7182
backend-system-architect is an agent published in the GitHub repository ArieGoldkin/ai-agent-hub (11 stars, last pushed 9mo ago), licensed MIT. It adds 362 tokens to every session and 4,654 once invoked, about $0.0018 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
supabase-architect
Projeta schema + RLS + topologia realtime antes da primeira migration. Entrega plano arquitetural (schema, RLS, realtime, branching). Use ao iniciar app Supabase. Não escreve código. (pesado).
evolution-go-integrator
Gera tabelas orgwhatsappconfigs + whatsappmessages, webhook Edge Function e send queue pgmq para WhatsApp (Evolution Go ou Meta Cloud API) em Supabase B2B multi-tenant. (pesado — despacha.
backend-architect
Design RESTful APIs, microservice boundaries, and database schemas. Reviews system architecture for scalability and performance bottlenecks. Use PROACTIVELY when creating new backend services or APIs.
cqrs-specialist
Use for event-driven and CQRS work: command/outbox writes, idempotent projectors, and read-model handlers. Domain-neutral; never catches errors inside a transaction boundary.
Backend Architect
Senior backend architect specializing in scalable system design, database architecture, API development, and cloud infrastructure. Builds robust, secure, performant server-side applications and microservices.
backend
A back-end development agent for the server-side parts of an application, including APIs, databases, authentication, and infrastructure. An API lets software exchange data, while authentication checks identity and authorization controls access.