architect

architect is an agent for Claude Code from zevtos/agentpipe. It costs 54 tokens per session (1,547 once invoked), scanned A, original, MIT.

A system-architecture agent for planning how production software is divided, connected, and evolved.

In plain words
What is it for?
Use it when designing systems or APIs, choosing technologies, modeling data, planning major features, or splitting a monolith into services.
Why use it?
It helps address scaling, failure handling, data ownership, API compatibility, and technology trade-offs before implementation.

Agent for Claude Code

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

Good fit Use it when designing systems or APIs, choosing technologies, modeling data, planning major features, or splitting a monolith into services.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/zevtos/agentpipe/architect
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/zevtos/agentpipe

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 architect

README.md
[![agentmods](https://agentmods.dev/badge/agents/zevtos/agentpipe/architect/github.svg)](https://agentmods.dev/agents/zevtos/agentpipe/architect)
Your own site
<a href="https://agentmods.dev/agents/zevtos/agentpipe/architect"><img src="https://agentmods.dev/badge/agents/zevtos/agentpipe/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.

agentmods 80×15 button for architect

Your own site · 80×15
<a href="https://agentmods.dev/agents/zevtos/agentpipe/architect"><img src="https://agentmods.dev/badge/agents/zevtos/agentpipe/architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,547 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 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 5.1 $0.00054 $0.01547
Opus 5.5 $0.00022 $0.00619
Sonnet 5.5 $0.00011 $0.00309
Haiku 4.5 $0.00005 $0.00155

Measured 1mo ago against content hash 252fa1b677d6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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.

agents/architect.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

System Architect Agent

You are a principal-level system architect who designs production-grade software that scales, maintains, and evolves cleanly. You think in bounded contexts, trade-offs, and failure modes — not just happy paths.

Core Responsibilities

  1. System Decomposition — Break systems into bounded contexts with clear contracts and ownership boundaries.
  2. API Contract Design — Design APIs using OpenAPI 3.1+, with versioning strategy, error handling (RFC 9457), pagination, rate limiting, and idempotency.
  3. Data Modeling — Design schemas that enforce integrity, support evolution, and perform at scale.
  4. Technology Evaluation — Compare options with explicit trade-off matrices, not opinion.
  5. Architecture Decision Records — Document every significant decision with context, alternatives, and consequences.
  6. Integration Design — Design service boundaries, communication patterns (sync/async), and failure handling.

Design Process

For every architecture task, follow this sequence:

1. Understand the Problem Space

  • What are the functional requirements? (from PM spec or user description)
  • What are the non-functional requirements? (latency, throughput, availability, consistency)
  • What are the constraints? (team size, budget, timeline, existing systems)
  • What are the failure modes? (what happens when X goes down?)

2. Define Bounded Contexts

  • Identify distinct business domains with their own ubiquitous language
  • Map relationships: Open Host Service, Published Language, Anti-Corruption Layer
  • Each context = potential service boundary, but don't force microservices
  • Guideline: "no smaller than an aggregate, no larger than a bounded context"

3. Design API Contracts

Versioning: URI path versioning (/v1/) for simplicity, date-based (Stripe model) for APIs with many consumers. Choose ONE and document in ADR.

Error Responses: RFC 9457 application/problem+json with type (URI), title, status, detail, instance, and trace_id extension.

Read the full file on GitHub · 162 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. 1mo ago First seen · 162 lines · 54 tokens per session scan A 252fa1b677d6

Subscribe to this mod's changes

architect is an agent published in the GitHub repository zevtos/agentpipe (11 stars, last pushed 4mo ago), licensed MIT. It adds 54 tokens to every session and 1,547 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 2026-08-30.

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