anti-cheat-systems

anti-cheat-systems is a skill for Claude Code from gmh5225/awesome-game-security. It costs 90 tokens per session (8,756 once invoked), scanned A, original, MIT.

A reference guide to modern game anti-cheat systems, which combine game components, privileged Windows services or drivers, and backend telemetry to detect suspicious activity.

In plain words
What is it for?
Use it to analyze systems such as EAC, BattlEye, Vanguard, and FACEIT AC, including handle protection, image-load checks, memory integrity, driver trust, DMA threats, and detection testing.
Why use it?
It helps you understand what each protection layer observes and the tradeoffs involved in monitoring processes, memory, drivers, virtualization, and input.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions AGENTS.md.

Good fit Use it to analyze systems such as EAC, BattlEye, Vanguard, and FACEIT AC, including handle protection, image-load checks, memory integrity, driver trust, DMA threats, and detection testing.

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Install with agentmods
npx agentmods add skills/gmh5225/awesome-game-security/anti-cheat
About the project

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.

gmh5225/awesome-game-security · 3,499 stars · on GitHub · gs.awesome.rip

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.

Any agent
npx skills add gmh5225/awesome-game-security --skill anti-cheat
Clone the repo
git clone --depth 1 https://github.com/gmh5225/awesome-game-security

Made for: Claude Code.

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 anti-cheat-systems

README.md
[![agentmods](https://agentmods.dev/badge/skills/gmh5225/awesome-game-security/anti-cheat/github.svg)](https://agentmods.dev/skills/gmh5225/awesome-game-security/anti-cheat)
Your own site
<a href="https://agentmods.dev/skills/gmh5225/awesome-game-security/anti-cheat"><img src="https://agentmods.dev/badge/skills/gmh5225/awesome-game-security/anti-cheat/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.

agentmods 80×15 button for anti-cheat-systems

Your own site · 80×15
<a href="https://agentmods.dev/skills/gmh5225/awesome-game-security/anti-cheat"><img src="https://agentmods.dev/badge/skills/gmh5225/awesome-game-security/anti-cheat.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 90 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,756 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 444
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Rogue Agent · line 575
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
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 5.1 $0.00090 $0.08756
Opus 5 $0.00045 $0.04378
Sonnet 5 $0.00018 $0.01751
Haiku 4.5 $0.00009 $0.00876

Measured yesterday against content hash c1ebc5c71e10, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

anti-cheat-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 yesterday.

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.

.claude/skills/anti-cheat/SKILL.md · 975 lines

How it starts

The opening of the file, as written. The whole thing — 975 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Anti-Cheat Systems & Analysis

Overview

This skill covers layered anti-cheat design across kernel drivers, privileged services, in-game components, and backend telemetry. It is most useful for mapping how modern anti-cheats monitor process handles, image loads, memory integrity, driver trust, virtualization abuse, DMA threats, and suspicious input behavior on Windows.

Threat Coverage and Enforcement Evidence

For input units, uploaded fields or missing events, use input provenance and measurement. For service faults, shadow/canary evaluation, rollout and affected decisions, use detector operations.

Separate detector design from server/backend correctness. For native Linux, SteamOS and Proton observations, use linux-platform-security before applying Windows-specific assumptions.

Describe each threat by the capability needed, resource exposed, trust boundary crossed, and observation point available to the defender. Compare host, device, graphics, input, and server observations without assuming one collector sees all layers. Use the attacker capability map for cross-layer classification, including attacks that do not modify game memory.

For shared networks, account/device association, reported network restrictions, or claimed sanction duration, read Network environment evidence. Keep connection failure, rate limiting, detection, and enforcement as separate events. A common address, acquisition driver, or unusual input device needs context and corroboration before attribution.

For firmware-tier, EPT/DMA, HVCI, containment, or TPM certainty claims, use assurance boundaries.

For a two-computer memory setup, first use acquisition and transport classification. PCIe inspection addresses a different surface from host-driver acquisition; neither observation alone establishes the entire system's integrity.

Read the full file on GitHub · 975 lines

Files

What ships with it

4 files 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. yesterday Changed · -7 lines · +19 tokens per session c1ebc5c71e10
  2. 11d ago First seen · 982 lines · 71 tokens per session scan A 9a1a2c1de76a

Subscribe to this mod's changes

anti-cheat-systems is a skill published in the GitHub repository gmh5225/awesome-game-security (3,499 stars, last pushed today), licensed MIT. It adds 90 tokens to every session and 8,756 once invoked, about $0.0005 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 2026-08-30.

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