architecture-review

architecture-review is a skill for Claude Code from Donchitos/Claude-Code-Game-Studios. It costs 71 tokens per session (6,437 once invoked), scanned A, original, MIT.

A review of a game's technical architecture against its GDDs, or game design documents. It maps design requirements to architecture decisions, checks for conflicts, and audits engine-version compatibility.

In plain words
What is it for?
Checking all architecture coverage, only requirements coverage, cross-decision consistency, engine compatibility, one GDD, or a requirements traceability chain linking GDDs to decisions, stories, and tests.
Why use it?
It shows which requirements are uncovered, which decisions conflict, and whether the architecture targets the project's chosen engine version consistently.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; names the AskUserQuestion tool.

Good fit Checking all architecture coverage, only requirements coverage, cross-decision consistency, engine compatibility, one GDD, or a requirements traceability chain linking GDDs to decisions, stories, and tests.

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Install with agentmods
npx agentmods add skills/donchitos/claude-code-game-studios/architecture-review
About the project

Claude Code Game Studios is a setup that organizes Claude Code into a coordinated game-development team of specialized AI agents. It supports game projects across design, programming, art, audio, narrative, quality assurance, and production, with skills and workflows for coordinating that work.

Donchitos/Claude-Code-Game-Studios · 24,880 stars · on GitHub

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.

Any agent
npx skills add Donchitos/Claude-Code-Game-Studios --skill architecture-review
Clone the repo
git clone --depth 1 https://github.com/Donchitos/Claude-Code-Game-Studios

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 architecture-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/architecture-review.svg)](https://agentmods.dev/skills/donchitos/claude-code-game-studios/architecture-review)
Your own site
<a href="https://agentmods.dev/skills/donchitos/claude-code-game-studios/architecture-review"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/architecture-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,437 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 8
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
How audits are shown
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 $0.00071 $0.06437
Opus 5 $0.00036 $0.03218
Sonnet 5 $0.00014 $0.01287
Haiku 4.5 $0.00007 $0.00644

Measured 8d ago against content hash 11fd3ee30b6c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

architecture-review 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 8d 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.

Origin

Copies of this mod

4 near-identical copies found in the catalogue:

.claude/skills/architecture-review/SKILL.md · 666 lines

How it starts

The opening of the file, as written. The whole thing — 666 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Architecture Review

The architecture review validates that the complete body of architectural decisions covers all game design requirements, is internally consistent, and correctly targets the project's pinned engine version. It is the quality gate between Technical Setup and Pre-Production.

Argument modes:

  • No argument / full: Full review — all phases
  • coverage: Traceability only — which GDD requirements have no ADR
  • consistency: Cross-ADR conflict detection only
  • engine: Engine compatibility audit only
  • single-gdd [path]: Review architecture coverage for one specific GDD
  • rtm: Requirements Traceability Matrix — extends the standard matrix to include story file paths and test file paths; outputs docs/architecture/requirements-traceability.md with the full GDD requirement → ADR → Story → Test chain. Use in Production phase when stories and tests exist.

Phase 1: Load Everything

Phase 1a — L0: Summary Scan (fast, low tokens)

Before reading any full document, use Grep to extract ## Summary sections from all GDDs and ADRs:

Grep pattern="## Summary" glob="design/gdd/*.md" output_mode="content" -A 4
Grep pattern="## Summary" glob="docs/architecture/adr-*.md" output_mode="content" -A 3

For single-gdd [path] mode: use the target GDD's summary to identify which ADRs reference the same system (Grep ADRs for the system name), then full-read only those ADRs. Skip full-reading unrelated GDDs entirely.

For engine mode: only full-read ADRs — GDDs are not needed for engine checks.

For coverage or full mode: proceed to full-read everything below.

Phase 1b — L1/L2: Full Document Load

Read all inputs appropriate to the mode:

Design Documents

  • All in-scope GDDs in design/gdd/ — read every file completely
  • design/gdd/systems-index.md — the authoritative list of systems

Architecture Documents

  • All in-scope ADRs in docs/architecture/ — read every file completely
  • docs/architecture/architecture.md if it exists

Read the full file on GitHub · 666 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. 8d ago First seen · 666 lines · 71 tokens per session scan A 11fd3ee30b6c

Subscribe to this mod's changes

architecture-review is a skill published in the GitHub repository Donchitos/Claude-Code-Game-Studios (24,880 stars, last pushed 3mo ago), licensed MIT. It adds 71 tokens to every session and 6,437 once invoked, about $0.0004 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.