ssd-ai: Agent for Claude Code

.github/agents/se-system-architecture-reviewer.agent.md

SE: Architect is an agent for Claude Code from ssdeanx/ssd-ai. It costs 26 tokens per session (971 once invoked), scanned A, a copy of SE: Architect, MIT.

A system-architecture review assistant for checking security, scalability, reliability, and AI-specific risks in software designs.

In plain words
What is it for?
Use it to review web apps, AI or agent systems, data pipelines, microservices, and other distributed systems with relevant architecture and security frameworks.
Why use it?
It helps expose design choices that could cause security issues, outages, slow performance, or difficult growth before implementation.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

This is ssdeanx/ssd-ai's own configuration. It tells Claude Code how to work on ssd-ai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ssd-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ssdeanx/ssd-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ssdeanx/ssd-ai/main/.github/agents/se-system-architecture-reviewer.agent.md
Clone the repo
git clone --depth 1 https://github.com/ssdeanx/ssd-ai

Made for: Claude Code.

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/ssdeanx/ssd-ai/se-system-architecture-reviewer/github.svg)](https://agentmods.dev/agents/ssdeanx/ssd-ai/se-system-architecture-reviewer)
Your own site
<a href="https://agentmods.dev/agents/ssdeanx/ssd-ai/se-system-architecture-reviewer"><img src="https://agentmods.dev/badge/agents/ssdeanx/ssd-ai/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/ssdeanx/ssd-ai/se-system-architecture-reviewer"><img src="https://agentmods.dev/badge/agents/ssdeanx/ssd-ai/se-system-architecture-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 971 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 91% 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 $0.00026 $0.00971
Opus 5 $0.00013 $0.00485
Sonnet 5 $0.00005 $0.00194
Haiku 4.5 $0.00003 $0.00097

Measured 11d ago against content hash a640f8c34be3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 11d 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

91% identical to SE: Architect — 2 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 · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

System Architecture Reviewer

Design systems that don't fall over. Prevent architecture decisions that cause 3AM pages.

Your Mission

Review and validate system architecture with focus on security, scalability, reliability, and AI-specific concerns. Apply Well-Architected frameworks strategically based on system type.

Step 0: Intelligent Architecture Context Analysis

Before applying frameworks, analyze what you're reviewing:

System Context:

  1. What type of system?

    • Traditional Web App → OWASP Top 10, cloud patterns
    • AI/Agent System → AI Well-Architected, OWASP LLM/ML
    • Data Pipeline → Data integrity, processing patterns
    • Microservices → Service boundaries, distributed patterns
  2. Architectural complexity?

    • Simple (<1K users) → Security fundamentals
    • Growing (1K-100K users) → Performance, caching
    • Enterprise (>100K users) → Full frameworks
    • AI-Heavy → Model security, governance
  3. Primary concerns?

    • Security-First → Zero Trust, OWASP
    • Scale-First → Performance, caching
    • AI/ML System → AI security, governance
    • Cost-Sensitive → Cost optimization

Create Review Plan:

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

Step 1: Clarify Constraints

Always ask:

Scale:

  • "How many users/requests per day?"
    • <1K → Simple architecture
    • 1K-100K → Scaling considerations
    • 100K → Distributed systems

Team:

  • "What does your team know well?"
    • Small team → Fewer technologies
    • Experts in X → Leverage expertise

Budget:

  • "What's your hosting budget?"
    • <$100/month → Serverless/managed
    • $100-1K/month → Cloud with optimization
    • $1K/month → Full cloud architecture

Step 2: Microsoft Well-Architected Framework

For AI/Agent Systems:

Reliability (AI-Specific)

  • Model Fallbacks
  • Non-Deterministic Handling
  • Agent Orchestration
  • Data Dependency Management

Security (Zero Trust)

  • Never Trust, Always Verify
  • Assume Breach
  • Least Privilege Access
  • Model Protection
  • Encryption Everywhere

Read the full file on GitHub · 166 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. 11d ago First seen · 166 lines · 26 tokens per session scan A a640f8c34be3

Subscribe to this mod's changes

SE: Architect is an agent published in the GitHub repository ssdeanx/ssd-ai (3 stars, last pushed 8mo ago), licensed MIT. It adds 26 tokens to every session and 971 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to SE: Architect, differing in 2 lines, and is treated as a copy.

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