What is game-design-lenses AGENTS.md?

An instruction file for using a library of game-design review perspectives with a coding agent. A lens review means examining a game or design from several different angles.

Use it to review game ideas, mechanics, or design documents through multiple structured perspectives.

It tells the agent how to recognize review requests, choose the matching language, and apply the library to a project or document.

How EthanM2025/game-design-lenses configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to EthanM2025/game-design-lenses. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/EthanM2025/game-design-lenses/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/EthanM2025/game-design-lenses

Made for: Codex, OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/ethanm2025/game-design-lenses/agents-md/github.svg)](https://agentmods.dev/instructions/ethanm2025/game-design-lenses/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/ethanm2025/game-design-lenses/agents-md"><img src="https://agentmods.dev/badge/instructions/ethanm2025/game-design-lenses/agents-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/ethanm2025/game-design-lenses/agents-md"><img src="https://agentmods.dev/badge/instructions/ethanm2025/game-design-lenses/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,103 This file is loaded in full into every session.

When invoked 1,103 The same file — it is already loaded in full.

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.

Model	Per session	Once invoked
Fable 5.1	$0.01103	$0.01103
Opus 5.5	$0.00441	$0.00441
Sonnet 5.5	$0.00221	$0.00221
Haiku 4.5	$0.00110	$0.00110

Measured 2mo ago against content hash 5aaf1e176aee, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

game-design-lenses AGENTS.md 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 2mo 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.

AGENTS.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md template — Codex / OpenAI Codex / generic LLM tools

This file is for users of Codex / OpenAI Codex (or any LLM coding agent that reads AGENTS.md as part of its system context). For Claude Code, the skill at skills/lens-review/SKILL.md is auto-discovered via the plugin system — no AGENTS.md setup needed.

How to install (Codex / generic)

git clone this repository to a known location (or add it as a submodule of your project).
Append the integration block below to your project's AGENTS.md (or your equivalent agent instruction file), replacing <PATH_TO_THIS_REPO> with the actual local path.
That's it. When you ask "do a lens review on X", "过 lens", "用透镜看看 X", the agent will follow the protocol.

Integration block (copy this into your project's AGENTS.md)

## Game Design Lens Review (game-design-lenses)

Library: `<PATH_TO_THIS_REPO>/lib/100-lenses.zh.md` (Chinese) / `<PATH_TO_THIS_REPO>/lib/100-lenses.en.md` (English)

When the user asks for a "lens review" / "过 lens" / "用透镜看看 [path]" / "give me different angles on [path]":

1. Detect the language of the artifact (and the user's invocation). Pick the matching library file (`.zh` for Chinese, `.en` for English). If unclear, default to English.
2. Read the artifact at the path provided.
3. Read the library file. It contains 100 lenses; each has 5 static fields: `Category / How to use / Key questions / Elaboration / When to use`.
4. Pick 3-5 most relevant lenses based on artifact type + content keywords. Use each lens's `When to use` field to match. Cross-category preferred for richer perspective.
5. For each picked lens, output this structured block:

Lens #N: [English name] ([中文名 if responding in Chinese])

What this lens asks / 这盏 lens 在问的是: [one-sentence framing]

[Observation] / 【观察】 — What's in the doc [Factual evidence from the artifact, with file:line anchors. No judgment.]

[Insight] / 【洞察】 — What this lens surfaces (one reading, not a verdict) [Analyze through this lens. HEDGED tone required: "perhaps / possibly / one reading / looks like / if X happens, Y might follow". Reference relevant examples (Wii Sports, Hades, Slay the Spire, etc) when useful. If there's a counter-reading, surface it: "It could also be read the other way: ..."]

Read the full file on GitHub · 79 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.

2mo ago First seen · 79 lines · 1,103 tokens per session scan A 5aaf1e176aee

Subscribe to this mod's changes

game-design-lenses AGENTS.md is an instructions file published in the GitHub repository EthanM2025/game-design-lenses (5 stars, last pushed 5mo ago), licensed MIT. It adds 1,103 tokens to every session, about $0.0044 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 2026-08-31.

Design and UX Game development ai-agents claude-code-plugin game-design lens-review

game-design-lenses AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
game-design-lenses AGENTS.mdEthanM2025/game-design-lenses	Instructions file	5	5mo ago	MIT	A	1,103	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

game-design-lenses: Instructions file for Codex