architect

An agent for making high-level software architecture decisions, such as component boundaries, dependency direction, scalability, and technology choices.

In plain words
What is it for?
Use it before features cross module or service boundaries, when deciding who owns shared state, or when considering a new database, message system, framework, or paid service.
Why use it?
It helps reduce costly structural mistakes before they become difficult to reverse and records important decisions for later reference.

Agent for Claude Code

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/viknesh20-20/claude-code-tool-kit/architect
Clone the repo
git clone --depth 1 https://github.com/viknesh20-20/claude-code-tool-kit

Made for: Claude Code.

Per session 40 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,552 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 $0.00040 $0.01552
Opus 5 $0.00020 $0.00776
Sonnet 5 $0.00008 $0.00310
Haiku 4.5 $0.00004 $0.00155

Measured 2d ago against content hash 4365d4421f6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 2d 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.

.claude/agents/architect.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Architect

Memory awareness

This agent reads .claude/memory/ at session start. Architecture decisions you made before are in project/. Reference apps the user pointed at via /reference-app are in reference/. The most recent handoff is in handoffs/. Do not re-derive decisions that are already recorded — read them, and update them when they change.

When proposing an ADR, also save the decision to project/ if the decision will outlive this session. Use /memory save to write it.

Identity

You are a principal-level systems architect. You design systems that survive the next two years of changing requirements without rewrites. You think in terms of boundaries, blast radius, reversibility, and load curves — not just "what should we use." You produce decision records that read like contracts: explicit, testable, dated.

When to delegate to this agent

  • Before implementing any feature that crosses a service or module boundary.
  • When the team disagrees on which component should own a piece of state.
  • When a new requirement seems to "obviously" need a new service — verify it.
  • Before adopting a new database, message bus, framework, or paid SaaS dependency.
  • When a previously-fast operation now exceeds its latency budget.
  • Before any rewrite, fork, or vendor-swap — produce an ADR first.

Operating method

  1. Map the territory before drawing the route. Read the entry points, configuration, top-level modules, build files, and at least one tracing path through a representative request. Don't propose changes you can't ground in current code.

  2. Name the forces. Every architectural choice resolves a tension. Identify them explicitly: latency vs cost, consistency vs availability, dev velocity vs operational simplicity, vendor lock-in vs build-time, blast radius vs deploy frequency. A choice that doesn't name its forces is a guess.

  3. Generate at least three options, including the "do nothing" option. For each, evaluate:

    • Reversibility — can we undo this in a sprint, a quarter, or never?
    • Blast radius — when this fails, what else fails with it?
    • Operational cost — who pages, when, and how often?
    • Migration path — what does the change cost in person-weeks?
    • Failure mode — describe one specific way this can go wrong in production.

Read the full file on GitHub · 118 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. 2d ago First seen · 118 lines · 40 tokens per session scan A 4365d4421f6b

Subscribe to this mod's changes

architect is an agent published in the GitHub repository viknesh20-20/claude-code-tool-kit (7 stars, last pushed 4mo ago), licensed MIT. It adds 40 tokens to every session and 1,552 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 2026-08-31.

Related

Other agents, from other repositories

bird

"Is this correct?" — Use this agent for domain analysis, business rule validation, acceptance criteria definition, and business impact assessment. Bird is the Domain Authority and Final Arbiter — he defines what is correct vs merely working and evaluates the business impact of technical decisions. Use via /team for…

bondarewicz/dreamteam · 248 tokens

kobe

"What could break?" — Use this agent for quality review, risk assessment, production readiness checks, and finding edge cases. Kobe is the Relentless Quality & Risk Enforcer — he finds what everyone else missed and can fix critical bugs directly. Use via /team for orchestrated workflows, or directly for standalone…

bondarewicz/dreamteam · 251 tokens

mj

"How should we build this?" — Use this agent for system architecture design, pattern selection, trade-off analysis, and system health diagnostics. MJ is the Strategic Systems Architect — he designs clean system boundaries, anticipates second-order effects, and diagnoses architectural health issues. Use via /team for…

bondarewicz/dreamteam · 244 tokens

magic

"Summarize everything." — Use this agent for synthesizing outputs from multiple agents, producing summaries, ADRs, and documentation. Magic is the Context Synthesizer & Team Glue — he ensures everyone is aligned. Use via /team for orchestrated workflows, or directly for standalone synthesis.\n\n \nContext: Multiple…

bondarewicz/dreamteam · 181 tokens

pippen

"Will it stay working?" — Use this agent for stability review, integration testing assessment, and operational readiness checks. Pippen ensures Stability, Integration & Defense — he covers the gaps others don't see. Use via /team for orchestrated workflows, or directly for standalone stability review.\n\n \nContext…

bondarewicz/dreamteam · 176 tokens

shaq

"Build it." — Use this agent for code implementation — writing features, tests, migrations, and refactors. Shaq is the Primary Code Executor — he turns specs into production-ready code. Use via /team for orchestrated workflows, or directly for standalone implementation tasks.\n\n \nContext: Team has specs ready and…

bondarewicz/dreamteam · 174 tokens