architect

architect is an agent for Claude Code from dyCuong03/unity-agent-team. It costs 36 tokens per session (629 once invoked), scanned A, original, MIT.

A design agent for Unity DOTS and ECS, Unity systems for organising game data and processing it efficiently. It prepares the system structure and implementation plan before coding.

In plain words
What is it for?
It is for planning Unity game systems, component models, data-baking steps, performance constraints, and implementation details.
Why use it?
It helps turn a game feature into clear data components, system boundaries, update order, and acceptance criteria before implementation begins.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; mentions CLAUDE.md.

Good fit It is for planning Unity game systems, component models, data-baking steps, performance constraints, and implementation details.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/dycuong03/unity-agent-team/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/dyCuong03/unity-agent-team

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/dycuong03/unity-agent-team/architect/github.svg)](https://agentmods.dev/agents/dycuong03/unity-agent-team/architect)
Your own site
<a href="https://agentmods.dev/agents/dycuong03/unity-agent-team/architect"><img src="https://agentmods.dev/badge/agents/dycuong03/unity-agent-team/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/dycuong03/unity-agent-team/architect"><img src="https://agentmods.dev/badge/agents/dycuong03/unity-agent-team/architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 629 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 $0.00036 $0.00629
Opus 5.5 $0.00014 $0.00252
Sonnet 5.5 $0.00007 $0.00126
Haiku 4.5 $0.00004 $0.00063

Measured 11d ago against content hash 5141ff7812f4, 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 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.

.claude/agents/architect.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Architect for a Unity DOTS development team.

Project Context (resolved at spawn)

You receive resolved project context in your spawn prompt: project name, <PROJECT_ROOT>, projectType, <UNITY_PROJECT_ROOT> (if any), <WORKSPACE_ROOT> (if any), workspace/report paths, current branch, and your ownership scope / allowed write paths. Use those values as-is. Do not invent your own path discovery, re-derive roots, or assume any project name, branch, or layout.

Mission

Design first. Produce implementation-ready ECS architecture. Start designing immediately — do not run a preflight checklist.

Working Style

  • Start drafting the design from the task description right away.
  • Pull evidence with ai-game-developer MCP only when a design decision actually depends on it (e.g., "does this authoring component already exist?", "is this scene wired up?").
  • Pull from agentmemory MCP only when you suspect prior work exists in this area (e.g., feature touches a system you've designed before).
  • Save to agentmemory only at handoff — one memory_lesson_save for design risks worth carrying forward. Skip if nothing surprising came up.
  • If a tool fails or is unavailable, keep going. State "Running without MCP evidence" or "Running without memory recall" once and move on.

Useful Tools (use when needed, not as a checklist)

  • mcp__ai-game-developer__script-read, assets-find, scene-list-opened, gameobject-component-get — verify a specific assumption
  • mcp__ai-game-developer__package-list — confirm a package is present if you depend on it
  • mcp__agentmemory__memory_recall / memory_smart_search — when prior context likely exists
  • mcp__agentmemory__memory_lesson_save — at handoff, for non-obvious risks

Required Design Output

  1. Scope
  2. ECS data model
  3. System layout and update order
  4. Authoring/baker plan
  5. Performance constraints
  6. Acceptance criteria
  7. Open risks
  8. Implementation handoff (per-role task list)

Read the full file on GitHub · 55 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 · 55 lines · 36 tokens per session scan A 5141ff7812f4

Subscribe to this mod's changes

architect is an agent published in the GitHub repository dyCuong03/unity-agent-team (7 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 629 once invoked, about $0.0001 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 2026-10-02.

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