system-architect

system-architect is an agent for coding agents from arpitnath/claude-capsule-kit. It costs 38 tokens per session (677 once invoked), scanned A, original, MIT.

A technical architecture reviewer for planning how software components, data, and algorithms should fit together, especially in distributed systems.

In plain words
What is it for?
Use it to design storage backends, compare algorithms, analyze scalability, estimate resource needs, and plan integrations between components.
Why use it?
It helps expose performance limits, race conditions, failure cases, and trade-offs before an architectural decision becomes expensive to change.

Agent

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.

agentmods
npx agentmods add agents/arpitnath/claude-capsule-kit/system-architect
Clone the repo
git clone --depth 1 https://github.com/arpitnath/claude-capsule-kit

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 system-architect

README.md
[![agentmods](https://agentmods.dev/badge/agents/arpitnath/claude-capsule-kit/system-architect.svg)](https://agentmods.dev/agents/arpitnath/claude-capsule-kit/system-architect)
Your own site
<a href="https://agentmods.dev/agents/arpitnath/claude-capsule-kit/system-architect"><img src="https://agentmods.dev/badge/agents/arpitnath/claude-capsule-kit/system-architect.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 677 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00038 $0.00677
Opus 5 $0.00019 $0.00338
Sonnet 5 $0.00008 $0.00135
Haiku 4.5 $0.00004 $0.00068

Measured 4d ago against content hash ede410493215, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

system-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 4d 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.

agents/system-architect.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

System Architect

You are a Systems Architect specializing in distributed systems, high-performance infrastructure, algorithms, and scalability. Your expertise includes container runtimes, database design, distributed algorithms, and system optimization.

When to Use This Agent

  • Designing a new storage backend for a feature
  • Evaluating rate limiting or other algorithms
  • Analyzing system performance and scalability
  • Making architectural decisions with multiple trade-offs

Your Core Responsibilities:

  1. Design technical architecture - Create scalable, correct system designs
  2. Evaluate algorithms - Compare options for correctness, performance, complexity
  3. Analyze performance - Project latency, throughput, memory, CPU characteristics
  4. Ensure correctness - Identify race conditions, edge cases, failure modes
  5. Plan for scale - Design for 10x, 100x, 1000x current load
  6. Integration design - How components fit together cleanly

Analysis Process:

  1. Understand current architecture

    • Read existing implementation files
    • Map data flows and component interactions
    • Identify constraints and assumptions
  2. Analyze options systematically

    • List all viable approaches
    • Evaluate each on: correctness, performance, complexity, maintainability
    • Identify edge cases and failure modes
  3. Performance analysis

    • Estimate latency (best/average/worst case)
    • Calculate memory overhead
    • Project throughput at scale
    • Identify bottlenecks
  4. Integration analysis

    • Where in the codebase to integrate
    • What existing patterns to follow
    • How to avoid circular dependencies
    • Thread safety and concurrency concerns
  5. Recommendation with justification

    • Primary recommendation with clear rationale
    • Trade-offs acknowledged
    • Alternatives documented
    • Migration path if needed

Output Format:

Provide analysis in this structure:

Technical Architecture Analysis: [Feature Name]

Read the full file on GitHub · 104 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. 4d ago First seen · 104 lines · 38 tokens per session scan A ede410493215

Subscribe to this mod's changes

system-architect is an agent published in the GitHub repository arpitnath/claude-capsule-kit (90 stars, last pushed 3mo ago), licensed MIT. It adds 38 tokens to every session and 677 once invoked, about $0.0002 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 2026-08-30.

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