map-systems

map-systems is a skill for Claude Code, Codex from frabcd/codex-ai-game-studio. It costs 26 tokens per session (3,940 once invoked), scanned A, original, MIT.

A workflow that breaks a game idea into separate systems, maps which systems depend on one another, and creates an index for design work.

In plain words
What is it for?
It reads the game concept, lists its systems, maps dependencies, prioritizes the work, updates the systems index, and can hand off the next system for detailed design.
Why use it?
It turns a broad game concept into an ordered set of design tasks and highlights what should be designed first.

Skill for Claude CodeCodex

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/frabcd/codex-ai-game-studio/map-systems
Any agent
npx skills add frabcd/codex-ai-game-studio --skill map-systems
Clone the repo
git clone --depth 1 https://github.com/frabcd/codex-ai-game-studio

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 map-systems

README.md
[![agentmods](https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/map-systems.svg)](https://agentmods.dev/skills/frabcd/codex-ai-game-studio/map-systems)
Your own site
<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/map-systems"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/map-systems.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,940 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 $0.00026 $0.03940
Opus 5 $0.00013 $0.01970
Sonnet 5 $0.00005 $0.00788
Haiku 4.5 $0.00003 $0.00394

Measured 4d ago against content hash 56522a9d2b28, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

map-systems 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 4d 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.

plugins/ai-game-studio/skills/map-systems/SKILL.md · 367 lines

How it starts

The opening of the file, as written. The whole thing — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Port provenance: adapted from the pinned upstream source at 984023ddac0d5e27624f2baacde6105e45de375f under MIT; see the repository parity ledger for the exact path and blob.

When this skill is invoked:

Parse Arguments

Two modes:

  • No argument: $ai-game-studio:map-systems — Run the full decomposition workflow (Phases 1-5) to create or update the systems index.
  • next: $ai-game-studio:map-systems next — Pick the highest-priority undesigned system from the index and hand off to $ai-game-studio:design-system (Phase 6).

Also resolve the review mode (once, store for all gate spawns this run):

  1. If --review [full|lean|solo] was passed → use that
  2. Else read production/review-mode.txt → use that value
  3. Else → default to lean

See the installed Codex role-gate protocol for the full check pattern.


Phase 1: Read Concept (Required Context)

Read the game concept and any existing design work. This provides the raw material for systems decomposition.

Required:

  • Read design/gdd/game-concept.mdfail with a clear message if missing:

    "No game concept found at design/gdd/game-concept.md. Run $ai-game-studio:brainstorm first to create one, then come back to decompose it into systems."

Optional (read if they exist):

  • Read design/gdd/game-pillars.md — pillars constrain priority and scope
  • Read design/gdd/systems-index.md — if exists, resume from where it left off (update, don't recreate from scratch)
  • file discovery design/gdd/*.md — check which system GDDs already exist

If the systems index already exists:

  • Read it and present current status to the user
  • Use the available user-input mechanism to ask: "The systems index already exists with [N] systems ([M] designed, [K] not started). What would you like to do?"
    • Options: "Update the index with new systems", "Design the next undesigned system", "Review and revise priorities"

Phase 2: Systems Enumeration (Collaborative)

Read the full file on GitHub · 367 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 4d ago First seen · 367 lines · 26 tokens per session scan A 56522a9d2b28

Subscribe to this mod's changes

map-systems is a skill published in the GitHub repository frabcd/codex-ai-game-studio (8 stars, last pushed 4d ago), licensed MIT. It adds 26 tokens to every session and 3,940 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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