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Agent Skill · 研究检索

anti-cheat-systems(反作弊系统)

anti-cheat-systems 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

anti-cheat-systems 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 37,042。

总安装 1,812周安装 74GitHub Stars 2,826下载 586核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:anti-cheat-systems(反作弊系统)
来源仓库:https://github.com/gmh5225/awesome-game-security
仓库路径:skills/anti-cheat-systems
安装命令:
npx skills add https://github.com/gmh5225/awesome-game-security --skill anti-cheat-systems
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/gmh5225/awesome-game-security --skill anti-cheat-systems

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。覆盖 Windows 平台反作弊系统设计,包括内核驱动、进程监控、内存保护与虚拟化检测。提供分层防御策略,涵盖图像加载追踪、DMA 威胁防范与输入行为异常识别。

安装前需确认权限范围和维护状态,避免触发联网、命令执行或文件读写操作。anti-cheat-systems 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/anti-cheat-systems

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/gmh5225/awesome-game-security --skill anti-che…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

anti-cheat-systems 怎么安装?

在终端执行 npx skills add https://github.com/gmh5225/awesome-game-security --skill anti-cheat-systems。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

anti-cheat-systems 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

anti-cheat-systems 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

anti-cheat-systems 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

anti-cheat-systems 用的人多吗?

公开数据是累计安装 1,812 次,近一周安装 74 次,下载 586 次,GitHub 2,826 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

anti-cheat-systems 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 来源仓库有 2,826 星,维护活跃度相对可查。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
anti-cheat-systems

反作弊系统 · 本页

1,8122,826只读MIT有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

README Coverage

  • Anti Cheat > Guide
  • Anti Cheat > Stress Testing
  • Anti Cheat > Driver Unit Test Framework
  • Anti Cheat > Anti Debugging
  • Anti Cheat > Page Protection
  • Anti Cheat > Binary Packer
  • Anti Cheat > CLR Protection
  • Anti Cheat > Anti Disassembly
  • Anti Cheat > Sample Unpacker
  • Anti Cheat > Dump Fix
  • Anti Cheat > Encrypt Variable
  • Anti Cheat > Lazy Importer
  • Anti Cheat > Anti-Cheat Programming
  • Anti Cheat > Compile Time
  • Anti Cheat > Shellcode Engine & Tricks
  • Anti Cheat > Obfuscation Engine
  • Anti Cheat > Screenshot
  • Anti Cheat > Game Engine Protection:*
  • Anti Cheat > Open Source Anti Cheat System
  • Anti Cheat > Analysis Framework
  • Anti Cheat > Detection:*
  • Anti Cheat > Signature Scanning
  • Anti Cheat > Information System & Forensics
  • Anti Cheat > Dynamic Script
  • Anti Cheat > Kernel Mode Winsock
  • Anti Cheat > Fuzzer
  • Anti Cheat > Windows Ring3 Callback
  • Anti Cheat > Windows Ring0 Callback
  • Anti Cheat > Winows User Dump Analysis
  • Anti Cheat > Winows Kernel Dump Analysis
  • Anti Cheat > Sign Tools
  • Anti Cheat > Backup File / Backup Drivers
  • Anti Cheat > Black Signature
  • Windows Security Features

Major Anti-Cheat Systems

Easy Anti-Cheat (EAC)

  • Multi-component architecture with service, driver, and game-facing protections
  • Process integrity verification and memory inspection
  • Runtime driver loading with strong client-side enforcement
  • Used by: Fortnite, Apex Legends, Rust

BattlEye

  • Kernel driver plus service and game module coordination
  • Handle protection, process monitoring, and memory scanning
  • Strong focus on injected code and runtime tampering visibility
  • Used by: PUBG, Rainbow Six Siege, DayZ

Vanguard (Riot Games)

  • Boot-start kernel driver with early visibility into later-loaded drivers
  • Boot-time initialization
  • Driver allowlisting and aggressive system trust checks
  • Used by: Valorant, League of Legends

FACEIT AC

  • Kernel-level competitive anti-cheat with strong process and driver monitoring
  • Emphasis on platform integrity and low tolerance for hostile drivers
  • Often discussed alongside Vanguard in kernel anti-cheat research

Valve Anti-Cheat (VAC)

  • User-mode detection
  • Signature-based scanning
  • Delayed ban waves
  • Used by: CS2, Dota 2, TF2

Other Systems

  • PunkBuster: Legacy FPS anti-cheat
  • FairFight: Server-side statistical analysis
  • nProtect GameGuard: Korean anti-cheat solution
  • XIGNCODE3: Mobile game protection
  • ACE (Tencent): Chinese market protection

Detection Mechanisms

Memory Detection

- Code section hashing and integrity verification
- Executable private memory and manual-map detection
- Injected module and anomalous image mapping detection
- Memory modification and stack provenance monitoring

Process Detection

- Handle access stripping and protected-process enforcement
- Thread start address, APC, and context inspection
- Debug register and hidden-thread monitoring
- Stack trace and module-correlation analysis

Kernel-Level Detection

- Driver verification, signature policy, and blocklist checks
- Callback registration and object access monitoring
- System call, dispatch table, and hook integrity checks
- PatchGuard, test-signing, and kernel trust state checks

Behavioral Analysis

- Raw input timing and pattern analysis
- Movement and aim anomaly detection
- Statistical improbability and ML-assisted scoring
- Telemetry collection and server-side review

Anti-Cheat Architecture

User-Mode Components

  • Process scanner
  • Module verifier
  • Overlay detector
  • Screenshot capture

Kernel-Mode Components

  • Driver loader
  • Memory protection
  • System callback registration
  • Hypervisor and driver trust detection
  • VAD and executable memory inspection

Hypervisor-Level Components

- EPT-based memory access monitoring
- Callback list write protection via EPT hooks
- ETW structure integrity enforcement
- AC driver code page protection (prevent patching)
- VMCALL interface for policy configuration from kernel driver
- VM exit handlers for EPT violations on protected regions

Server-Side Components

  • Statistical analysis
  • Replay verification
  • Report processing
  • Ban management

Research Techniques

Static Analysis

  1. Dump and analyze AC drivers
  2. Reverse engineer detection routines
  3. Identify signature patterns
  4. Map callback registrations and trust boundaries

Dynamic Analysis

  1. Monitor system calls
  2. Track driver communications
  3. Inspect memory layout and module provenance
  4. Debug with kernel or hypervisor tools

Bypass Categories

Memory Access

  • Physical memory read/write
  • DMA-based access
  • Hypervisor memory virtualization
  • Driver-based access

Code Execution

  • Manual mapping
  • Thread hijacking
  • APC injection
  • Kernel callbacks

Detection Evasion

  • Signature mutation
  • Timing attack mitigation
  • Stack spoofing
  • Module hiding

Security Features Interaction

Windows Security

  • Driver Signature Enforcement (DSE)
  • PatchGuard/Kernel Patch Protection
  • Hypervisor Code Integrity (HVCI)
  • Secure Boot
  • TPM-backed attestation considerations

Virtualization Detection

  • VT-x/AMD-V detection
  • Hypervisor presence checks
  • VM escape detection
  • Timing-based detection

Hypervisor-Based Defense for Anti-Cheat

Concept:
- Use hypervisor (EPT/SLAT) to enforce anti-cheat protections
  from a privilege level above the kernel
- Even if attacker achieves kernel R/W (BYOVD, exploit),
  hypervisor-level enforcement remains intact
- EPT hooks replace traditional kernel hooks:
  operate outside the guest OS, invisible to kernel-level rootkits

EPT Hook Protection Targets:
- Anti-cheat driver executable pages
  → Prevents attackers from patching AC driver code in memory
- Kernel callback lists (PsSetCreateProcessNotifyRoutine, ObRegisterCallbacks)
  → Write authorization moved to hypervisor; kernel-level callback removal denied
- ETW-related structures
  → Unauthorized writes trigger EPT violations, caught by hypervisor
- EPP/AC process memory
  → Protects security software from silent tampering

Hypervisor vs Kernel-Level Threats:
- Common kernel-level attack chain:
  1. Attacker uses BYOVD or kernel exploit for R/W primitives
  2. Patches callbacks to remove AC notifications
  3. Tampers with ETW to disable telemetry
  4. Modifies AC driver code to blind detection
- With hypervisor defense:
  1. Same kernel R/W primitives obtained
  2. Write to protected callback list → EPT violation → VM exit
  3. Hypervisor evaluates context and denies unauthorized modification
  4. AC callbacks and telemetry remain intact

Advantages:
- Higher privilege than kernel — cannot be disabled by kernel rootkits
- Transparent to guest: no kernel patches needed
- Effective even after full kernel compromise
- Complements existing kernel-mode detection (callbacks, signatures, scans)

Limitations:
- Requires hardware virtualization support (VT-x/AMD-V)
- Performance overhead from VM exits on protected region access
- Complexity: must handle nested virtualization (VMware, Hyper-V)
- DMA attacks bypass hypervisor memory protections (separate threat)

Code Protection Techniques

Page Protection

- Executable page guard pages and trap-based integrity monitoring
- NX bit enforcement and DEP policy
- PAGE_GUARD + single-step trap for code coverage without patching
- VirtualProtect monitoring to detect runtime permission changes

Binary Packing & Encryption

- PE packers: UPX, Themida, VMProtect, Enigma, MPRESS
- CLR protection: .NET obfuscation (ConfuserEx, Dotfuscator, .NET Reactor)
- Encrypt Variable: runtime value encryption to frustrate memory scanners
- Lazy Importer: compile-time import hiding to avoid IAT-based detection
- Compile-time techniques: string encryption, constexpr obfuscation, COFF obfuscation

Shellcode & Obfuscation

- Shellcode engines: position-independent code generation, syscall stubs
- Obfuscation engines: OLLVM-based, custom LLVM passes, MBA (Mixed Boolean-Arithmetic)
- Anti-disassembly: opaque predicates, junk code insertion, control flow flattening

Heartbeat & Screenshot

Heartbeat Mechanisms

- Periodic client-to-server health check packets
- Encrypted challenge-response with server nonce
- Timing-based integrity: detect suspended or debugged processes
- Failure modes: silent disconnect, delayed ban, immediate kick

Screenshot Capture

- AC-initiated screen capture for manual or automated review
- BitBlt / PrintWindow / DXGI desktop duplication
- Anti-screenshot evasion: overlay hiding, DWM composition bypass
- Server-side ML classifiers for ESP/overlay detection in captured frames

Telemetry Pipeline

Client-Side Collection

- Module list enumeration and hash reporting
- Handle table snapshots for suspicious access patterns
- Stack trace sampling at periodic intervals
- Driver load events and callback registration state
- Hardware fingerprint (disk serial, NIC MAC, SMBIOS, GPU)

Transport & Server-Side

- Encrypted telemetry channel (TLS + custom encryption layer)
- Server-side aggregation and anomaly scoring
- ML-based behavioral clustering for ban waves
- Replay system integration for suspicious session review

Ethical Considerations

Research Guidelines

  • Focus on understanding, not exploitation
  • Report vulnerabilities responsibly
  • Respect Terms of Service implications
  • Consider impact on gaming communities

Legal Aspects

  • DMCA considerations
  • CFAA implications
  • Regional regulations
  • ToS enforcement

Resources Organization

Detection Research

- Anti-cheat driver analysis
- Detection routine documentation
- Callback enumeration tools

Bypass Research

- Memory access techniques
- Injection methods
- Evasion strategies

Tools

- Custom debuggers
- Driver loaders
- Analysis frameworks

Data Source

Important: This skill provides conceptual guidance and overview information. For detailed information use the following sources:

1. Project Overview & Resource Index

Fetch the main README for the full curated list of repositories, tools, and descriptions:

https://raw.githubusercontent.com/gmh5225/awesome-game-security/refs/heads/main/README.md

The main README contains thousands of curated links organized by category. When users ask for specific tools, projects, or implementations, retrieve and reference the appropriate sections from this source.

2. Repository Code Details (Archive)

For detailed repository information (file structure, source code, implementation details), the project maintains a local archive. If a repository has been archived, always prefer fetching from the archive over cloning or browsing GitHub directly.

Archive URL format:

https://raw.githubusercontent.com/gmh5225/awesome-game-security/refs/heads/main/archive/{owner}/{repo}.txt

Examples:

https://raw.githubusercontent.com/gmh5225/awesome-game-security/refs/heads/main/archive/ufrisk/pcileech.txt
https://raw.githubusercontent.com/gmh5225/awesome-game-security/refs/heads/main/archive/000-aki-000/GameDebugMenu.txt

How to use:

  1. Identify the GitHub repository the user is asking about (owner and repo name from the URL).
  2. Construct the archive URL: replace {owner} with the GitHub username/org and {repo} with the repository name (no .git suffix).
  3. Fetch the archive file — it contains a full code snapshot with file trees and source code generated by code2prompt.
  4. If the fetch returns a 404, the repository has not been archived yet; fall back to the README or direct GitHub browsing.

3. Repository Descriptions

For a concise English summary of what a repository does, the project maintains auto-generated description files.

Description URL format:

https://raw.githubusercontent.com/gmh5225/awesome-game-security/refs/heads/main/description/{owner}/{repo}/description_en.txt

Examples:

https://raw.githubusercontent.com/gmh5225/awesome-game-security/refs/heads/main/description/00christian00/UnityDecompiled/description_en.txt
https://raw.githubusercontent.com/gmh5225/awesome-game-security/refs/heads/main/description/ufrisk/pcileech/description_en.txt

How to use:

  1. Identify the GitHub repository the user is asking about (owner and repo name from the URL).
  2. Construct the description URL: replace {owner} with the GitHub username/org and {repo} with the repository name.
  3. Fetch the description file — it contains a short, human-readable summary of the repository's purpose and contents.
  4. If the fetch returns a 404, the description has not been generated yet; fall back to the README entry or the archive.

Priority order when answering questions about a specific repository:

  1. Description (quick summary) — fetch first for concise context
  2. Archive (full code snapshot) — fetch when deeper implementation details are needed
  3. README entry — fallback when neither description nor archive is available

平台分布

Claude Code

29.6%
按下载量换算173

Antigravity

26.34%
按下载量换算154

Gemini CLI

17.46%
按下载量换算102

OpenCode

13.87%
按下载量换算81

Cursor

7.59%
按下载量换算44

Codex

3.51%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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