anti-cheat-systems
A guide for analyzing anti-cheat systems like EAC, BattlEye, and Vanguard, covering kernel-level security and bypass research.
Install
mkdir -p .claude/skills/anti-cheat-systems && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4598" && unzip -o skill.zip -d .claude/skills/anti-cheat-systems && rm skill.zipInstalls to .claude/skills/anti-cheat-systems
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Guide for modern game anti-cheat architecture, Windows kernel monitoring, and detection tradeoffs. Use this skill when analyzing EAC, BattlEye, Vanguard, FACEIT AC, kernel callbacks, handle protection, manual-map detection, boot-start drivers, BYOVD, DMA threats, or behavioral telemetry in game security research.Key capabilities
- →Analyzes Windows kernel callback behavior
- →Evaluates handle and memory protection status
- →Researching anti-debugging and anti-disassembly tactics
- →Reviewing behavioral telemetry architecture
- →Studying boot-start driver security
How it works
The skill provides a curated knowledge base of security research patterns, analysis frameworks, and technical documentation regarding low-level Windows internals.
Inputs & outputs
When to use anti-cheat-systems
- →Analyze Windows kernel driver behavior
- →Research anti-debugging and anti-disassembly techniques
- →Understand game engine protection mechanisms
- →Study threat modeling for DMA and boot-start drivers
About this skill
Anti-cheat systems
Map the protected asset, attacker capability, observation point, detector, and enforcement authority. Separate confirmed product behavior from general defensive patterns.
Topic routing
- Architecture and detection for products, client/kernel/backend layers, memory, process, behavior, and input signals.
- Research and threats for analysis methods, bypass categories, platform interactions, protection, telemetry, and ethics.
- Repository map and repository resources for collection-backed source selection.
- Input provenance, detector operations, or network evidence for those specific evidence questions.
Use dma-attack-techniques, windows-kernel-security, graphics-api-hooking, mobile-security, or game-server-security when that boundary dominates. Apply game-security-research-rigor to consequential or disputed claims.
When not to use it
- →Developing actual cheats or exploits
- →General software engineering tasks unrelated to security
- →Non-Windows environments
Limitations
- →Information is research-focused and theoretical
- →Does not automate bypass of specific protections
- →Highly dependent on Windows architecture specifics
How it compares
It consolidates fragmented security research specifically regarding game protection architecture rather than general-purpose vulnerability research.
Compared to similar skills
anti-cheat-systems side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| anti-cheat-systems (this skill) | 8 | 4mo | No flags | Advanced |
| reverse-engineering-tools | 73 | 5mo | No flags | Advanced |
| game-hacking-techniques | 42 | 4mo | No flags | Advanced |
| solidity-security | 15 | 4mo | No flags | Intermediate |
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