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.
npx skills add frabcd/codex-ai-game-studio --skill quick-designgit clone --depth 1 https://github.com/frabcd/codex-ai-game-studioWrote 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.
[](https://agentmods.dev/skills/frabcd/codex-ai-game-studio/quick-design)<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/quick-design"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/quick-design/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.
<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/quick-design"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/quick-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00057 | $0.02677 |
| Opus 5.5 | $0.00023 | $0.01071 |
| Sonnet 5.5 | $0.00011 | $0.00535 |
| Haiku 4.5 | $0.00006 | $0.00268 |
Grade A, and why
quick-design 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 1mo 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.
This is a copy
86% identical to quick-design — 72 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 298 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
984023ddac0d5e27624f2baacde6105e45de375funder MIT; see the repository parity ledger for the exact path and blob.
Quick Design
This is the lightweight design path for changes that don't need a full GDD.
Full GDD authoring via $ai-game-studio:design-system is the heavyweight path. Use this skill
for work under approximately 4 hours of implementation — tuning adjustments,
minor behavioral tweaks, small additions to existing systems, or standalone
features too small to warrant a full document.
Output: design/quick-specs/[name]-[date].md
When to run: Anytime a change is too small for $ai-game-studio:design-system but too
meaningful to implement without a written rationale.
1. Classify the Change
First, read the argument and determine which category this change falls into:
- Tuning — changing numbers or balance values in an existing system with no behavioral change (most minimal path). Example: "increase jump height from 5 to 6 units", "reduce enemy patrol speed by 10%".
- Tweak — a small behavioral change to an existing system that introduces no new states, branches, or systems. Example: "make dash invincible on frame 1", "allow combo to cancel into roll".
- Addition — adding a small mechanic to an existing system that may introduce 1-2 new states or interactions. Example: "add a parry window to the block mechanic", "add a charge variant to the basic attack".
- New Small System — a standalone feature small enough that it has no existing GDD and is under approximately one week of implementation work. Example: "achievement popup system", "simple day/night visual cycle".
If the change does NOT fit these categories — it introduces a new system with
significant cross-system dependencies, requires more than one week of
implementation, or fundamentally alters an existing system's core rules — stop
and redirect to $ai-game-studio:design-system instead.
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.
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.
- 1mo ago First seen · 298 lines · 57 tokens per session scan A c22d736c8537
quick-design is a skill published in the GitHub repository frabcd/codex-ai-game-studio (17 stars, last pushed 5d ago), licensed MIT. It adds 57 tokens to every session and 2,677 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to quick-design, differing in 72 lines, and is treated as a copy.
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