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.
curl -O https://raw.githubusercontent.com/EthanM2025/game-design-lenses/main/AGENTS.mdgit clone --depth 1 https://github.com/EthanM2025/game-design-lensesWrote 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/instructions/ethanm2025/game-design-lenses/agents-md)<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.
<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>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 | $0.00551 | $0.00551 |
| Sonnet 5 | $0.00221 | $0.00221 |
| Haiku 4.5 | $0.00110 | $0.00110 |
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 11d 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.
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 clonethis 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: ..."]
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.
- 11d ago First seen · 79 lines · 1,103 tokens per session scan A 5aaf1e176aee
game-design-lenses AGENTS.md is an instructions file published in the GitHub repository EthanM2025/game-design-lenses (5 stars, last pushed 3mo ago), licensed MIT. It adds 1,103 tokens to every session, about $0.0055 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.