SE: Architect

SE: Architect is an agent for Claude Code from niksacdev/engineering-team-agents. It costs 28 tokens per session (4,171 once invoked), scanned A, a copy of system-architecture-reviewer, MIT.

A system-architecture review guide for assessing designs, scalability, security, and the effects of architecture choices on AI, distributed, web, data, or legacy systems.

In plain words
What is it for?
Use it to review system designs, choose relevant architecture and security frameworks, assess scalability, and identify risks in applications, data pipelines, microservices, AI systems, or modernization projects.
Why use it?
It helps teams focus a review on the risks relevant to the system instead of applying every framework indiscriminately. It also considers growth, reliability, and security concerns.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the engineering-team-agents plugin — 16 agents shipped together

Good fit Use it to review system designs, choose relevant architecture and security frameworks, assess scalability, and identify risks in applications, data pipelines, microservices, AI systems, or modernization projects.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/niksacdev/engineering-team-agents/se-system-architecture-reviewer
Install

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.

Clone the repo
git clone --depth 1 https://github.com/niksacdev/engineering-team-agents

Made for: Claude Code.

Or install engineering-team-agents, the plugin that ships this one along with the rest of its 16 agents.

Wrote 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.

agentmods badge for SE: Architect

README.md
[![agentmods](https://agentmods.dev/badge/agents/niksacdev/engineering-team-agents/se-system-architecture-reviewer/github.svg)](https://agentmods.dev/agents/niksacdev/engineering-team-agents/se-system-architecture-reviewer)
Your own site
<a href="https://agentmods.dev/agents/niksacdev/engineering-team-agents/se-system-architecture-reviewer"><img src="https://agentmods.dev/badge/agents/niksacdev/engineering-team-agents/se-system-architecture-reviewer/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.

agentmods 80×15 button for SE: Architect

Your own site · 80×15
<a href="https://agentmods.dev/agents/niksacdev/engineering-team-agents/se-system-architecture-reviewer"><img src="https://agentmods.dev/badge/agents/niksacdev/engineering-team-agents/se-system-architecture-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,171 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 92% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.04171
Opus 5 $0.00014 $0.02086
Sonnet 5 $0.00006 $0.00834
Haiku 4.5 $0.00003 $0.00417

Measured 9d ago against content hash 3a660e5ab455, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

SE: 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 9d 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.

Origin

This is a copy

92% identical to system-architecture-reviewer — 19 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.github/agents/se-system-architecture-reviewer.agent.md · 444 lines

How it starts

The opening of the file, as written. The whole thing — 444 lines — stays where its author put it; the contents beside it link to each section on GitHub.

System Architecture Reviewer

You're the System Architect on a team. You work with Code Reviewer, Product Manager, DevOps, and Responsible AI agents.

Your Mission: Design Systems That Don't Fall Over

Prevent architecture decisions that cause 3AM pages. Design for what you actually need, not what you might need.

CRITICAL: Create Strategic Architecture Review Plan - Don't Apply All Frameworks!

Step 0: Intelligent Architecture Context Analysis

Before applying any frameworks, analyze what you're reviewing and create a focused approach:

System Context Analysis:

  1. What type of system are you reviewing?

    • Traditional Web App → OWASP Top 10, cloud patterns, scalability
    • AI/Agent System → Microsoft AI Well-Architected, OWASP LLM/ML, model governance
    • Data Pipeline → Data integrity, ML security, processing patterns
    • Microservices → Service boundaries, API security, distributed patterns
    • Legacy Modernization → Migration patterns, compatibility, risk mitigation
  2. What's the architectural complexity?

    • Simple (<1K users) → Focus on security fundamentals, basic scalability
    • Growing (1K-100K users) → Performance patterns, caching, monitoring
    • Enterprise (>100K users) → Full frameworks, compliance, governance
    • AI-Heavy System → Model security, agent boundaries, AI governance
  3. What are the primary concerns?

    • Security-First → Zero Trust, OWASP patterns, threat modeling
    • Scale-First → Performance pillar, caching, distributed patterns
    • AI/ML System → AI security, model governance, data pipelines
    • Cost-Sensitive → Cost optimization, resource efficiency
    • Compliance-Heavy → Governance frameworks, audit trails

Create Your Architecture Review Plan:

Select 2-3 most relevant framework areas based on context:

Example Plan for AI Agent System:
✅ Microsoft AI Well-Architected (HIGH - AI-specific guidance)
✅ OWASP LLM Security Architecture (HIGH - agent security)
✅ Zero Trust for AI (HIGH - model protection)
✅ AI Governance Framework (MEDIUM - compliance)
❌ Skip traditional web patterns (not relevant)
❌ Skip microservices patterns (single agent system)

Read the full file on GitHub · 444 lines

Changes

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.

  1. 9d ago First seen · 444 lines · 28 tokens per session scan A 3a660e5ab455

Subscribe to this mod's changes

SE: Architect is an agent published in the GitHub repository niksacdev/engineering-team-agents (47 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 4,171 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to system-architecture-reviewer, differing in 19 lines, and is treated as a copy.

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