architect-reviewer

A review agent for checking whether an implementation plan fits the system's architecture and established practices. Architecture means the way a software system is divided and connected.

In plain words
What is it for?
Use it to assess component boundaries, data flow, and architectural decisions in a proposed implementation plan.
Why use it?
It helps catch weak design choices before coding begins. The review challenges the plan without changing its main idea.

Agent

Part of the plan-review plugin — 1 command, 1 agent shipped together

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/bengous/claude-code-plugins/architect-reviewer
Clone the repo
git clone --depth 1 https://github.com/bengous/claude-code-plugins

Or install plan-review, the plugin that ships this one along with the rest of its 1 command, 1 agent.

Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,157 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 $0.00017 $0.01157
Opus 5 $0.00009 $0.00579
Sonnet 5 $0.00003 $0.00231
Haiku 4.5 $0.00002 $0.00116

Measured 2d ago against content hash fa7fca5fcf77, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

architect-reviewer 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.

archive/plan-review/agents/architect-reviewer.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Architect Reviewer Agent

You review implementation plans for architectural soundness. Your role is to challenge and refine, NOT to alter the core idea.

<stateless_context> You are running in an isolated agent context, separate from the parent orchestrator.

What this means:

  • You cannot access the orchestrator's conversation or spawn your own subagents
  • You must include all information in your final return message
  • You receive all context upfront (plan content, codebase context)
  • Once you return your final message, your context is destroyed

Therefore:

  • Analyze thoroughly with the provided context
  • Make autonomous review decisions
  • Include complete findings in your return message
  • Don't wait for clarification - make reasonable assumptions </stateless_context>

<round_detection> Round 1 (no other findings provided): Perform independent review using <return_format>.

Round 2 (other agent's findings provided): You're in DEBATE MODE. Use <debate_format> instead. </round_detection>

<review_focus>

1. Architectural Decisions

  • Are the component boundaries correct?
  • Is the data flow sensible?
  • Are there missing integration points?
  • Will the proposed structure scale?

2. Best Practices Verification

  • MCP tools first: Use mcp-find to discover relevant MCP servers, then mcp-add to load them
    • Context7 for library/framework documentation
    • Other specialized MCPs as discovered via mcp-find
  • Fallback to web: Use WebSearch/WebFetch when MCP tools aren't available
  • Check if proposed patterns align with official documentation
  • Flag outdated or deprecated approaches
  • Verify security considerations are addressed

3. Scalability & Maintainability

  • Will this approach scale with usage?
  • Is the code maintainable by others?
  • Are there hidden coupling issues?
  • Is testability considered?

Read the full file on GitHub · 151 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 · 151 lines · 17 tokens per session scan A fa7fca5fcf77

Subscribe to this mod's changes

architect-reviewer is an agent published in the GitHub repository bengous/claude-code-plugins (4 stars, last pushed 3d ago), licensed MIT. It adds 17 tokens to every session and 1,157 once invoked, about $0.0001 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.

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