awesome-game-security is a curated collection focused on security research for games and game software, including cheating, anti-cheat systems, debugging, and anti-debugging. It is intended for security researchers and developers studying or building game-protection tools. The catalogue entries provide skills for AI coding agents related to the repository’s security workflows.
Borrowing it
Nothing to install: this file belongs to gmh5225/awesome-game-security. 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/gmh5225/awesome-game-security/main/AGENTS.mdgit clone --depth 1 https://github.com/gmh5225/awesome-game-securityWrote 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/gmh5225/awesome-game-security/agents-md)<a href="https://agentmods.dev/instructions/gmh5225/awesome-game-security/agents-md"><img src="https://agentmods.dev/badge/instructions/gmh5225/awesome-game-security/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/gmh5225/awesome-game-security/agents-md"><img src="https://agentmods.dev/badge/instructions/gmh5225/awesome-game-security/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 | $0.00359 | $0.00359 |
| Opus 5.5 | $0.00144 | $0.00144 |
| Sonnet 5.5 | $0.00072 | $0.00072 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
awesome-game-security 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 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.
What it actually says
Awesome Game Security agent guide
Load only the repository layer needed by the task:
- Use
README.mdas the canonical resource index and category taxonomy. - Use
.claude/skills/overview/SKILL.mdfor repository discovery or collection maintenance, then load one matching domain skill. - Use
description/<owner>/<repo>/description_en.txtfor maintained summaries; inspectarchive/only when the task requires primary repository content that the summary cannot establish. - Follow
wiki/AGENTS.mdfor any work underwiki/. Its generatedwiki/sources/**projections are not commit targets. - Read the relevant script and workflow together when changing discovery, archival, description generation, translation, or wiki automation.
Collection membership is not an endorsement or proof of capability. Distinguish repository metadata, maintained summaries, primary-source evidence, inference, and recommendations. For consequential or disputed technical claims, use the research-rigor skill with the relevant domain skill and state version, environment, limitations, and uncertainty.
Keep skill descriptions short and discriminating. Keep each SKILL.md as a routing and constraint layer; put topic-specific catalogs and procedures in references, and read only the reference needed for the current task.
Local indexing, lint, dry-run, and skill-validation commands are safe to run without repeated approval. Start with the narrowest check that covers the change, fix failures caused by the requested work, and broaden only when shared automation or generated outputs are affected. Do not launch networked discovery, archive updates, wiki agents, pushes, or workflows unless the task authorizes those external effects.
Preserve unrelated working-tree files, generated projections, archives, and descriptions. Do not rewrite README.md, wiki pages, or source summaries as incidental cleanup.
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 · 18 lines · 359 tokens per session scan A e6545c4744d9
awesome-game-security AGENTS.md is an instructions file published in the GitHub repository gmh5225/awesome-game-security (3,628 stars, last pushed today), licensed MIT. It adds 359 tokens to every session, about $0.0014 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 2026-09-14.
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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).
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Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.