Fla Ascend Performance
fla-org/flash-linear-attention
Guidelines for Ascend NPU kernel / Triton-Ascend backend performance work in the FLA repo.
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.
$ npx skills add dslsdzc/rev-skills --skill re-anti-cheat -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install dslsdzc/rev-skills re-anti-cheat --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "re-anti-cheat" agent skill from https://github.com/dslsdzc/rev-skills/tree/main/.claude/skills/re-anti-cheat into .claude/skills/re-anti-cheat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "re-anti-cheat", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/dslsdzc/rev-skills/tree/main/.claude/skills/re-anti-cheatType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add dslsdzc/rev-skills --skill re-anti-cheat -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install dslsdzc/rev-skills re-anti-cheat --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dslsdzc/rev-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/re-anti-cheat .agents/skills/re-anti-cheat && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "re-anti-cheat" agent skill from https://github.com/dslsdzc/rev-skills/tree/main/.claude/skills/re-anti-cheat into .agents/skills/re-anti-cheat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "re-anti-cheat", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add dslsdzc/rev-skills --skill re-anti-cheat -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install dslsdzc/rev-skills re-anti-cheat --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dslsdzc/rev-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/re-anti-cheat .cursor/skills/re-anti-cheat && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "re-anti-cheat" agent skill from https://github.com/dslsdzc/rev-skills/tree/main/.claude/skills/re-anti-cheat into .cursor/skills/re-anti-cheat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "re-anti-cheat", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/dslsdzc/rev-skills.git --path .claude/skills/re-anti-cheat--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add dslsdzc/rev-skills --skill re-anti-cheat -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install dslsdzc/rev-skills re-anti-cheat --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dslsdzc/rev-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/re-anti-cheat .gemini/skills/re-anti-cheat && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "re-anti-cheat" agent skill from https://github.com/dslsdzc/rev-skills/tree/main/.claude/skills/re-anti-cheat into .gemini/skills/re-anti-cheat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "re-anti-cheat", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install dslsdzc/rev-skills re-anti-cheatInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add dslsdzc/rev-skills --skill re-anti-cheat -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/dslsdzc/rev-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/re-anti-cheat .github/skills/re-anti-cheat && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "re-anti-cheat" agent skill from https://github.com/dslsdzc/rev-skills/tree/main/.claude/skills/re-anti-cheat into .github/skills/re-anti-cheat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "re-anti-cheat", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add dslsdzc/rev-skills --skill re-anti-cheat -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install dslsdzc/rev-skills re-anti-cheat --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dslsdzc/rev-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/re-anti-cheat .opencode/skills/re-anti-cheat && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "re-anti-cheat" agent skill from https://github.com/dslsdzc/rev-skills/tree/main/.claude/skills/re-anti-cheat into .opencode/skills/re-anti-cheat/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "re-anti-cheat", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
re-anti-cheat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. 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.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit bd21db8. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from dslsdzc/rev-skills at commit bd21db8, republished under its Apache-2.0 licence (© dslsdzc). 353 words, ~1,647 tokens.
.claude/skills/re-anti-cheat/SKILL.md (or your agent's skills folder).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。
lm 能看到目标反作弊驱动模块,.reload /f <驱动名> 加载符号GetProcessInformation(..., ProcessProtectionLevelInfo, ...) / Process Explorer / WinDbg),只有非 PROTECTION_LEVEL_NONE 才是 PPL(见坑 1)x64dbg 能打开普通目标 exesc query / driverquery / fltmc(文件系统过滤驱动列表)process explorer 查看受保护进程标记)、Sysmondriverquery 输出驱动列表;sc query EasyAntiCheat(EAC 服务名按版本变化)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」)。
反作弊组件识别(驱动 / 服务):
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)驱动校验分析(内存扫描 / 完整性):
IRP_MJ_DEVICE_CONTROL 等)→ 用户态 IOCTL 交互界面;重点找:MmCopyVirtualMemory/KeStackAttachProcess 类读取目标进程内存后计算)PsSetCreateProcessNotifyRoutine(监控进程创建)、PsSetLoadImageNotifyRoutine(监控模块加载)——校验逻辑的触发入口检测规避思路(授权范围内研究):
内核对抗([[re-kernel]] 联动):
!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)分析报告(合规边界):
!analyze -v、断点与现场恢复(观察内核驱动执行路径的主要手段)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)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_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
Just SKILL.md in .claude/skills/re-anti-cheat of dslsdzc/rev-skills.
Open the folder on GitHubat commit bd21db8
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Re Anti Cheat this skilldslsdzc/rev-skills | 130 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Fla Ascend Performancefla-org/flash-linear-attention | 5.8k | — | ~6.3k | Automated safety check: Pass | MIT | |
| Deepsec Documentation Guidevercel-labs/deepsec | 8.1k | — | ~956 | Automated safety check: Pass | Apache-2.0 | |
| Skill Scannergetsentry/skills | 1k | 4 repos | ~2.5k | Automated safety check: Warn | Apache-2.0 | |
| Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit | 481 | 1 repos | ~3.3k | Automated safety check: Pass | None | |
| Security Alert Triageelastic/agent-skills | 592 | 1 repos | ~3.5k | Automated safety check: Notes | Apache-2.0 |
fla-org/flash-linear-attention
Guidelines for Ascend NPU kernel / Triton-Ascend backend performance work in the FLA repo.
vercel-labs/deepsec
Points the agent at deepsec's own docs to answer questions about initializing, configuring, resuming, scanning with and extending the vulnerability scanner.
getsentry/skills
Scan agent skills for security issues. An agent skill from getsentry/skills.
yan-labs/serenity-aleabitoreddit
Apply trader Serenity's (@aleabitoreddit) AI/semiconductor supply-chain analytical lens to US-stock ideas and market judgment.
elastic/agent-skills
Triage Elastic Security alerts — gather context, classify threats, create cases, and acknowledge.
SummerSec/ShiroAttack2
当用户要求利用、检测或测试 Apache Shiro rememberMe 反序列化漏洞 (Shiro-550, CVE-2016-4437) 时使用。触发词包括 "Shiro"、"rememberMe"、"shiro attack"、"CVE-2016-4437"、"Shiro-550"、"爆破 Shiro key"、"利用 Shiro"、"Shiro…
dslsdzc/rev-skills
Captures an analyzable sample from a live system when the target leaves no file on disk, by finding abnormal executable memory and the execution context that reached it.
dslsdzc/rev-skills
Guides static analysis of an Android APK with jadx and apktool: reading the manifest, Java code, resources and permissions, and recognizing hardening or obfuscation.
dslsdzc/rev-skills
威胁归因方法论:钻石模型、基础设施图谱、置信度分级与归因报告. An agent skill from dslsdzc/rev-skills.
dslsdzc/rev-skills
ELF 格式解析:ehdr/phdr/shdr、GOT/PLT、initarray、符号恢复. An agent skill from dslsdzc/rev-skills.
dslsdzc/rev-skills
函数式语言运行时逆向(Haskell/OCaml):闭包/堆对象模型、调用约定、数据流优先策略. An agent skill from dslsdzc/rev-skills.
dslsdzc/rev-skills
Frida 动态插桩(桌面+移动统一). An agent skill from dslsdzc/rev-skills.
Categories
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.
Re Anti Cheat fits situations like: security work in your project.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Re Anti Cheat is instructions for the agent only.
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.
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.
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.
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.
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.
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.