consistency-check

consistency-check is a skill for Claude Code, Codex from Donchitos/Claude-Code-Game-Studios. It costs 58 tokens per session (2,641 once invoked), scanned A, original, MIT.

A consistency checker that compares game design documents with a shared entity registry, which is the project's central list of named game entities and their values. It looks for mismatched stats, item values, or formulas across documents.

In plain words
What is it for?
Use it to check all documents, recently changed documents, or one named entity or item for conflicting definitions.
Why use it?
It catches conflicting definitions before they spread into architecture and code. The focused scan limits full document reading to places where registered entities or suspected conflicts appear.

Skill for Claude CodeCodex

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 · 24,822 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.

agentmods
npx agentmods add skills/donchitos/claude-code-game-studios/consistency-check
Any agent
npx skills add Donchitos/Claude-Code-Game-Studios --skill consistency-check
Clone the repo
git clone --depth 1 https://github.com/Donchitos/Claude-Code-Game-Studios

Made for: Claude Code, Codex.

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 consistency-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/consistency-check.svg)](https://agentmods.dev/skills/donchitos/claude-code-game-studios/consistency-check)
Your own site
<a href="https://agentmods.dev/skills/donchitos/claude-code-game-studios/consistency-check"><img src="https://agentmods.dev/badge/skills/donchitos/claude-code-game-studios/consistency-check.svg" alt="Measured on agentmods" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,641 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 $0.00058 $0.02641
Opus 5 $0.00029 $0.01321
Sonnet 5 $0.00012 $0.00528
Haiku 4.5 $0.00006 $0.00264

Measured 2d ago against content hash a6a87d4512c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

consistency-check 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.

Origin

Copies of this mod

4 near-identical copies found in the catalogue:

.claude/skills/consistency-check/SKILL.md · 309 lines

How it starts

The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Consistency Check

Detects cross-document inconsistencies by comparing all GDDs against the entity registry (design/registry/entities.yaml). Uses a grep-first approach: reads the registry once, then targets only the GDD sections that mention registered names — no full document reads unless a conflict needs investigation.

This skill is the write-time safety net. It catches what /design-system's per-section checks may have missed and what /review-all-gdds's holistic review catches too late.

When to run:

  • After writing each new GDD (before moving to the next system)
  • Before /review-all-gdds (so that skill starts with a clean baseline)
  • Before /create-architecture (inconsistencies poison downstream ADRs)
  • On demand: /consistency-check entity:[name] to check one entity specifically

Output: Conflict report + optional registry corrections


Phase 1: Parse Arguments and Load Registry

Modes:

  • No argument / full — check all registered entries against all GDDs
  • since-last-review — check only GDDs modified since the last review report
  • entity:<name> — check one specific entity across all GDDs
  • item:<name> — check one specific item across all GDDs

Load the registry:

Read path="design/registry/entities.yaml"

If the file does not exist or has no entries:

"Entity registry is empty. Run /design-system to write GDDs — the registry is populated automatically after each GDD is completed. Nothing to check yet."

Stop and exit.

Build four lookup tables from the registry:

  • entity_map: { name → { source, attributes, referenced_by } }
  • item_map: { name → { source, value_gold, weight, ... } }
  • formula_map: { name → { source, variables, output_range } }
  • constant_map: { name → { source, value, unit } }

Count total registered entries. Report:

Registry loaded: [N] entities, [N] items, [N] formulas, [N] constants
Scope: [full | since-last-review | entity:name]

Phase 2: Locate In-Scope GDDs

Read the full file on GitHub · 309 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 · 309 lines · 58 tokens per session scan A a6a87d4512c9

Subscribe to this mod's changes

consistency-check is a skill published in the GitHub repository Donchitos/Claude-Code-Game-Studios (24,822 stars, last pushed 3mo ago), licensed MIT. It adds 58 tokens to every session and 2,641 once invoked, about $0.0003 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 2026-09-03.

Related

Other skills, from other repositories

novel-game-analyze

Deconstruct a novel for game adaptation. Compress a raw novel, deconstruction library, or writing project into a SOURCEBIBLE with cited textual evidence, extracting world rules, player verbs, spaces, character will, systems, and visual anchors — without inventing a genre yet. Use for gameable book analysis, analyze a…

zenstory-ai/novel-to-game · 157 tokens

novel-to-game

Turn a novel into a fully playable game on the selected target platform. Orchestrates the whole adaptation pipeline — requirements intake, gameable deconstruction, concept selection, world and visual design, target-runtime build, and evidence-based QA — for a novel in any language. Use for novel to game, story to…

zenstory-ai/novel-to-game · 201 tokens

game-build

Build a risk-matched whitebox or the approved production game for its target runtime. Turn GAMEDESIGN, and ARTDIRECTION when production begins, into a minimal BUILDBRIEF and a runnable candidate that can be iterated with replayable evidence. Use for prototype the riskiest design question, implement the approved game…

zenstory-ai/novel-to-game · 151 tokens

game-concept

Design game concepts from a novel. From SOURCEBIBLE and PRODUCTBRIEF, generate three genuinely different directions on the dimensions still unlocked, then pick the most worthwhile playable prototype using hard vetoes and explicit trade-offs. Use for what game should this novel become, compare game concepts, choose a…

zenstory-ai/novel-to-game · 149 tokens

game-world-design

Design game experience, systems, and levels. Converge the chosen concept into one GAMEDESIGN defining the player promise, core loop, how the world responds, the systems actually needed, level pacing, feedback, failure, and a fully playable prototype. Use for design the game world, deepen the gameplay and levels, write…

zenstory-ai/novel-to-game · 168 tokens

game-qa

Verify a game with evidence on its selected target runtime. Launch the actual build and prove real rendering, input, the core loop, at least one designed outcome, restart, and explicit limitations without dressing subjective fun up as a certain verdict. Use for test a generated game, QA a game build, check whether the…

zenstory-ai/novel-to-game · 146 tokens