Agent skill

Re Anti Cheat

by dslsdzc in dslsdzc/rev-skills

反作弊对抗分析:EAC/BattlEye 驱动、内存校验、检测机制还原. An agent skill from dslsdzc/rev-skills.

Apache-2.0Auto-check passedSecurity

Install Re Anti Cheat

skills CLI
$ npx skills add dslsdzc/rev-skills --skill re-anti-cheat -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install dslsdzc/rev-skills re-anti-cheat --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/dslsdzc/rev-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/re-anti-cheat .claude/skills/re-anti-cheat && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
re-anti-cheat
GitHub stars
130
Token cost
~1.6k tokens
SKILL.md length
353 words
Files
1
Skills in repo
40
Repo updated
First seen
Licence
Apache-2.0

At a glance

反作弊对抗分析:EAC/BattlEye 驱动、内存校验、检测机制还原. An agent skill from dslsdzc/rev-skills.

  • Works in 5 steps: 反作弊组件识别(驱动 / 服务) → 驱动校验分析(内存扫描 / 完整性) → 检测规避思路(授权范围内研究) → …
  • Security work in your project
  • SKILL.md covers 何时使用 / 何时不用, 工具准备, 操作步骤 and 跨域联合, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Re Anti Cheat is an agent skill from dslsdzc/rev-skills. 反作弊对抗分析:EAC/BattlEye 驱动、内存校验、检测机制还原。 触发词:反作弊、EAC、BattlEye、内存校验、anti-cheat

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Security. The repository describes itself as: 122 个逆向工程 AI 技能(可发布、跨平台):恶意软件分析 / 软件逆向 / 固件嵌入式 / 协议逆向 / 移动应用 / 脱壳反混淆 / 软件破解 / 漏洞挖掘 / 托管代码 / 取证情报 / CTF。 The licence is Apache-2.0.

When your agent uses it

  • Security work in your project

Example prompts

  • “/re-anti-cheat”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 反作弊组件识别(驱动 / 服务)
  2. 驱动校验分析(内存扫描 / 完整性)
  3. 检测规避思路(授权范围内研究)
  4. 内核对抗([[re-kernel]] 联动)
  5. 分析报告(合规边界)

What it can do on your machine

Read from SKILL.md and the folder at commit bd21db8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Re Anti Cheat loads about 1.6k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 353 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from dslsdzc/rev-skills at commit bd21db8, republished under its Apache-2.0 licence (© dslsdzc). 353 words, ~1,647 tokens.

Download SKILL.mdSave it as .claude/skills/re-anti-cheat/SKILL.md (or your agent's skills folder).
name
re-anti-cheat
description
反作弊对抗分析:EAC/BattlEye 驱动、内存校验、检测机制还原。 触发词:反作弊、EAC、BattlEye、内存校验、anti-cheat
capabilities
kernel-analysis

反作弊对抗分析(EAC / BattlEye / 内存校验)

何时使用 / 何时不用

  • 用:分析反作弊组件(EAC / BattlEye / Vanguard 等)的驱动与服务、检测机制如何工作
  • 用:游戏进程被反作弊拒绝/踢出后,理解"检测到了什么"(防御与研读视角)
  • 用:反作弊驱动的静态逆向(DriverEntry、IRP、内存校验逻辑)与内核调试观察
  • 不用:制作或分发作弊程序 / 在真实游戏环境实施绕过(明确禁止,见授权边界)
  • 不用:只是游戏自身逻辑(内存修改、CE)→ [[re-game]]
  • 不用:普通驱动分析([[re-kernel]]);用户态反调试([[re-evasion]])
  • 授权边界(必读):本技能仅限授权研究——自有设备、自有游戏账号、实验室环境、已获书面许可的安全研究。禁止:制作/分发作弊软件、在在线游戏中使用绕过手段获取不当优势、将检测机制分析用于破坏。所有动态实验在隔离沙箱([[re-analyze/platform-tips]] 最高原则)内进行;分析结论以防御与研究视角产出(理解检测面 → 改进检测),不产出可操作的绕过工具。

工具准备

反作弊分析=驱动逆向 + 内核调试,全程隔离沙箱([[re-analyze/platform-tips]] 最高原则)。所有工具先验证再使用。

驱动分析底座([[re-kernel]])
  • 驱动静态:DriverEntry / IRP 分派 / 回调还原方法见 [[re-kernel]]「操作步骤」
  • 反编译:[[re-ghidra]](默认,导入 .sys 后 Data Type Manager 载入内核类型)
  • 验证: 导入 EAC/BE 驱动 .sys 后 DriverEntry 能反编译
内核调试([[re-windbg]])
  • 双机/VM 串口(COM Named Pipe)或 KDNET 配置见 [[re-windbg]]「工具准备」
  • 内核调试是观察反作弊驱动内核侧执行路径的主要手段——不是整个反作弊系统唯一的动态手段(用户态组件另有观测面,见坑 1)
  • 验证: 内核会话 lm 能看到目标反作弊驱动模块,.reload /f <驱动名> 加载符号
用户态快速定位([[re-x64dbg]] / [[re-windbg]])
  • [[re-x64dbg]]:受保护进程之外的辅助组件(加载器、服务端)快速查看
  • 目标可能带 PPL 保护但非必然——先查真实 protection level 再判定(GetProcessInformation(..., ProcessProtectionLevelInfo, ...) / Process Explorer / WinDbg),只有非 PROTECTION_LEVEL_NONE 才是 PPL(见坑 1)
  • 验证: x64dbg 能打开普通目标 exe
系统工具(服务/驱动枚举)
  • Windows 内置:sc query / driverquery / fltmc(文件系统过滤驱动列表)
  • Sysinternals(微软官网): Process Explorer(process explorer 查看受保护进程标记)、Sysmon
  • 验证: driverquery 输出驱动列表;sc query EasyAntiCheat(EAC 服务名按版本变化)

操作步骤

按顺序执行,每步产物(组件清单、IRP 表、校验逻辑笔记)记录证据路径 + sha256(见 [[re-triage]]),供报告引用。所有步骤在授权范围与沙箱内进行(授权边界见「何时使用」)。

  1. 反作弊组件识别(驱动 / 服务):

    sh
    driverquery /v | findstr /i "anti cheat easy battle"     # 驱动层组件
    sc query | findstr /i "anti cheat easy battle vanguard"  # 服务层组件
    fltmc                                                    # 文件系统过滤驱动(完整性校验常在此)
    • 典型组件:EAC(EasyAntiCheat.sys + 用户态加载器)、BE(BEDaisy.sys + 用户态服务)、Vanguard(vgk.sys 驱动 + 常驻服务);各厂商还有更新服务/反篡改守护
    • 记录:组件清单(驱动名/服务名/安装路径)+ 驱动文件 sha256(版本锚点,见坑 3)+ 自保护状态(查实际 protection level,不要默认 PPL)
  2. 驱动校验分析(内存扫描 / 完整性):

    • 静态还原([[re-kernel]] 方法):DriverEntry → IRP 分发表(IRP_MJ_DEVICE_CONTROL 等)→ 用户态 IOCTL 交互界面;重点找:
      • 完整性校验:定时/触发式校验游戏进程代码段与数据段哈希(MmCopyVirtualMemory/KeStackAttachProcess 类读取目标进程内存后计算)
      • 内存扫描:按特征扫描游戏进程内存(寻找修改后的代码/注入模块)
      • 回调注册:PsSetCreateProcessNotifyRoutine(监控进程创建)、PsSetLoadImageNotifyRoutine(监控模块加载)——校验逻辑的触发入口
    • 用户态组件:加载器与服务([[re-binary-core]] 反编译)——心跳、报告通道、更新检查
    • 产物:检测机制清单(触发点 → 校验内容 → 处置动作)
  3. 检测规避思路(授权范围内研究):

    • 研究"检测机制如何工作"(防御视角),组织方式:检测面清单(完整性校验 / 内存特征 / 行为时序 / 驱动层监控)
    • 每个检测面的分析产出:检测条件、触发频率、报告通道(谁收到告警、什么格式)
    • 不实施:在真实游戏环境中的规避、绕过工具开发、外挂分发——超出授权边界(坑 2)
    • 分析用途建议:检测改进(给厂商/防御侧)、规则编写([[re-ioc]] 思路:驱动特征、行为模式)
  4. 内核对抗([[re-kernel]] 联动):

    • 内核调试会话([[re-windbg]]):断点打在回调函数 / 校验函数上观察触发时机与参数
    • 反作弊驱动对调试器的反制:检测调试端口 / 清调试寄存器(!dr)/ 蓝屏诱饵——分析时记录反制手段(防御视角的"检测面"组成部分),应对一律在沙箱 + 快照([[re-analyze/platform-tips]] 最高原则)
    • 蓝屏风险:所有断点/触发实验在调试 VM 内做,操作前打快照([[re-kernel]] 坑 4)
    • 产物:调试会话记录 + 反制手段清单
  5. 分析报告(合规边界):

    • 报告结构:授权范围声明 → 组件清单(版本/哈希)→ 检测机制(触发点/内容/动作)→ 反制手段 → 防御建议
    • 合规要点:报告标注授权环境与用途;不包含可操作的绕过步骤;不发布驱动密钥/签名材料;敏感结论走负责任披露(厂商安全团队/漏洞奖励)
    • 产物:报告存档(sha256)

跨域联合

  • [[re-kernel]]:驱动逆向方法论底座(DriverEntry / IRP / 回调)+ 内核调试配合——本技能固定依赖
  • [[re-windbg]]:内核调试会话、!analyze -v、断点与现场恢复(观察内核驱动执行路径的主要手段)
  • [[re-x64dbg]]:用户态辅助组件(加载器/服务)快速定位
  • [[re-game]]:游戏侧内存修改 / CE 思路——检测机制的"被检测对象",对照理解
  • [[re-evasion]]:用户态反调试 / 反分析对抗框架(与驱动层反制对照)
  • [[re-ioc]]:检测特征 → YARA 规则 / 行为模式产出(防御视角)
  • [[re-sandbox]] / [[re-analyze/platform-tips]]:隔离沙箱 + 快照最高原则(蓝屏与样本风险)
Show full SKILL.md (156 more words)Show less

常见坑与陷阱

  • 把 attach 失败一律判成 PPL:现象——x64dbg/WinDbg 用户态 attach 目标被拒绝("无法附加")或附加后进程立即退出/蓝屏,遂记为"目标是 PPL";原因——PPL 是 Windows 自身的进程保护机制,有明确的 protection level 与签名者语义(PROCESS_PROTECTION_LEVEL_INFORMATION 区分 PROTECTION_LEVEL_NONE=未受保护、PROTECTION_LEVEL_PPL_APP=第三方应用启用了进程保护等),不存在"加载了反作弊驱动 ⇒ 游戏自动成为 PPL"这样的通用规则——反作弊完全可以只在内核侧做访问过滤、对象回调、完整性校验和反调试,而目标进程仍是普通进程;attach 被拒只是现象,不能据此反推 PPL;对策——先查真实 protection level(GetProcessInformation(..., ProcessProtectionLevelInfo, ...)、Process Explorer 的 Protection 列、WinDbg 读 EPROCESS.Protection),只有非 PROTECTION_LEVEL_NONE 才叫 PPL;普通进程 attach 失败时分别排查:反作弊的句柄访问过滤 / 对象回调(ObRegisterCallbacks 剥调试权限)、用户态反调试、自终止策略、调试器检测(调试端口、调试寄存器、NtQueryInformationProcess 调试状态)
  • "内核调试是唯一动态手段":现象——因用户态 attach 不通,就把整个分析限制在内核调试一条路上,跳过其他可观测面;原因——把"驱动内核侧"等同于"整个反作弊系统";对策——分析内核驱动内部执行路径时以隔离环境下的内核调试为主(双机/VM,[[re-windbg]],目标在 VM 内、调试器在宿主,断点下在内核回调/校验函数而非游戏进程内,一切在沙箱 + 快照内,蓝屏即回滚);但用户态 service/launcher、IPC、文件与注册表活动、ETW/系统事件、网络交互、进程与模块生命周期各有对应的动态观测方法,不因 attach 不通而失效
  • 法律边界(仅研究授权环境):现象——分析被用于制作外挂 / 在线作弊 / 出售绕过工具,触发法律与游戏厂商反制(封禁、诉讼);原因——反作弊分析天然接近作弊技术,绕过手段在真实游戏环境使用即侵权/违约;对策——严格限定授权范围(自有设备、自有账号、书面许可的实验室);报告只做防御向(检测机制如何工作、如何改进检测);不发布可操作工具、不公开驱动敏感材料;以"理解检测面"为边界,不以"绕过成功"为产出
  • 反作弊更新频繁(结论过期):现象——上周分析出的函数地址/偏移/检测点全部失效,报告结论"过时";原因——EAC/BE 数天一个版本,驱动加壳/混淆与结构变动频繁;对策——分析必须锚定版本:记录驱动 sha256、文件版本号、分析时间(步骤 1);报告注明版本与日期;分析方法(IRP 还原、回调枚举、IOCTL 解码)跨版本复用,具体地址/偏移不跨版本复用
  • 绕过技术对抗升级(分析方向错位):现象——分析出的"弱点"很快被修复或触发新检测,陷入逐点对抗;原因——反作弊是持续对抗工程,单点绕过必然升级;对策——把分析定位为"理解检测面"(系统视角)而非"制造漏洞"(单点视角);产出按检测面组织(完整性/内存/行为/驱动层)并给出防御建议;对抗升级的案例本身就是防御研究素材(记录新旧检测机制对比)
  • CSAuth3 心跳协议自包含可脱机复现(GameGuard):现象——反作弊心跳包(头部 KDF + 载荷变换 + 双重 CRC)黑盒猜测易错,静态逆向无从下手;原因——CSAuth3 是 GameMon 客户端与对端的心跳问答循环(对端发挑战包、客户端回心跳包),全部密码学材料是硬编码常量(Blowfish K=0x91284712、公开 π 表),仅 counter 与 prev_size 随会话变化——首包 seed=0(counter=0、K=0x91284712、载荷 8 字节全 0 且空载荷不 scramble);对策——按"头部 KDF 解密 → CRC1 → Blowfish 逆变换 → CRC2"逐层还原;scramble/descramble 是同一函数(Blowfish 加解密对称性:发送方明文 TLV 跑一遍 bf_dec 成线上密文,接收方再跑 bf_dec 还原);构造包时必须先 scramble 再算 CRC2(CRC2 校验的是 descramble 之后的载荷);密钥编排离线确定 → 纯脱机心跳可行
  • 错误码表是心跳重放的黑盒加速器:现象——构造的心跳包被对端拒绝,不知道卡在哪层校验;原因——CSAuth3 对每类校验失败返回不同错误码(0xBAE 首包标志正常、0xCE9 CRC1 不匹配、0xCE8 CRC2 严格不匹配、0xBB8 CRC2 映射模式基值、0xCE5 seq>5、0xCEA magic≠0x1E、0xCEF/0xCEC size 越界、0xD4A body 未 8 对齐、0xD52 消息数不符、0xD913 消息类型1 哈希失败等);对策——按错误码反推失败层(≥0xBB8 的错误置错误标志 → 后续 Check 假通过、Get 停发);hook 客户端处理挑战包的 callback handler 可直接获知该发什么,转发即可
  • CR3 加密(EAC 类内核反作弊):现象——读 _KPROCESS.DirectoryTableBase 拿到的是错误 CR3,遍历进程内存全乱/访问异常;原因——反作弊接管内核异常并把 DirectoryTableBase 写错值,附加/读进程等需访问该字段的操作触发异常时,在接管后的异常回调里才修复真值;对策——获取真实 CR3 的常用法:页帧 ListEntry.Flink 指向加密后的进程 K/EPROCESS 结构指针,遍历 MmPfnDataBase 逐页帧比对 Flink 解密值是否为目标进程结构,命中即得真实 CR3;注意版本差异:Win11 24H2 及部分高版本 Win10/11 的加密算法(MiSetPageTablePfnBuddy 可见)与其他版本不同,需按版本适配;分析前先确认目标系统版本(见 [[re-kernel]] 结构随版本变化坑)

© dslsdzc, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/re-anti-cheat of dslsdzc/rev-skills.

Open the folder on GitHubat commit bd21db8

Compare with similar skills

Re Anti Cheat next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Re Anti Cheat compared with similar skills
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Skill Scannergetsentry/skills1k4 repos~2.5kAutomated safety check: WarnApache-2.0
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Categories

Questions about Re Anti Cheat

What does Re Anti Cheat do?

反作弊对抗分析:EAC/BattlEye 驱动、内存校验、检测机制还原. An agent skill from dslsdzc/rev-skills. Re Anti Cheat is an agent skill from dslsdzc/rev-skills.

When should I use Re Anti Cheat?

Re Anti Cheat fits situations like: security work in your project.

How do I install Re Anti Cheat in Claude Code?

Run `npx skills add dslsdzc/rev-skills --skill re-anti-cheat -a claude-code`. Or copy the skill folder (.claude/skills/re-anti-cheat in dslsdzc/rev-skills) into .claude/skills/re-anti-cheat in your project. Claude Code loads it when a task matches its description.

How do I install Re Anti Cheat in Codex?

Run `npx skills add dslsdzc/rev-skills --skill re-anti-cheat -a codex`. Or copy the skill folder (.claude/skills/re-anti-cheat in dslsdzc/rev-skills) into .agents/skills/re-anti-cheat in your project. Codex loads it when a task matches its description.

Can I use Re Anti Cheat in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add dslsdzc/rev-skills --skill re-anti-cheat -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/re-anti-cheat, .gemini/skills/re-anti-cheat, .github/skills/re-anti-cheat and .opencode/skills/re-anti-cheat in your project.

What does Re Anti Cheat need to run?

SKILL.md names no scripts, command-line tools or credentials: Re Anti Cheat is instructions for the agent only.

Does Re Anti Cheat access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Re Anti Cheat safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Re Anti Cheat use?

Re Anti Cheat is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Re Anti Cheat use?

About 1.6k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Re Anti Cheat?

Skills that share tags, products or a category with Re Anti Cheat: Fla Ascend Performance (fla-org/flash-linear-attention, 5.8k stars), Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Skill Scanner (getsentry/skills, 1k stars) and Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 481 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Re Anti Cheat?

dslsdzc (a GitHub user) maintains it in dslsdzc/rev-skills, which has 130 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on October 5, 2026.

Source: dslsdzc/rev-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.