Agent skill

Re Frida

by dslsdzc in dslsdzc/rev-skills

Frida 动态插桩(桌面+移动统一). An agent skill from dslsdzc/rev-skills.

Apache-2.0Auto-check passedSecurity

Install Re Frida

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

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

GitHub CLI
$ gh skill install dslsdzc/rev-skills re-frida --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-frida .claude/skills/re-frida && 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-frida
GitHub stars
125
Token cost
~2.8k tokens
SKILL.md length
736 words
Files
2 (incl. references)
Skills in repo
41
Repo updated
First seen
Licence
Apache-2.0

At a glance

Frida 动态插桩(桌面+移动统一). An agent skill from dslsdzc/rev-skills.

  • Works in 6 steps: spawn vs attach 选择 → JS hook 编写(拦截 / 改参 / 返回值) → 枚举与调用(enumerateModules / Java.perform) → …
  • Tasks that involve Mobile application security
  • 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
  • Calls adb, pip and python3; reaches github.com and build.frida.re

What it does

Re Frida is an agent skill from dslsdzc/rev-skills. Frida 动态插桩(桌面+移动统一)。 触发词:frida、hook、插桩、绕过、spawn

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/frida-scripts.md`).

It sits in Security, covering Mobile application security. It works with Frida, Python, Android and iOS. 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

  • Tasks that involve Mobile application security

Example prompts

  • “/re-frida”

Requirements

  • Python 3

Workflow steps

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

  1. spawn vs attach 选择
  2. JS hook 编写(拦截 / 改参 / 返回值)
  3. 枚举与调用(enumerateModules / Java.perform)
  4. 绕过证书校验 / 检测(常见模板)
  5. 反检测对抗(隐藏 frida-server、改名)
  6. 脚本模板与对抗方法论:常用脚本骨架见 [[frida-scripts]](TLS keylog / DEX/SO dump / JNI 注册还原 / 加密拦截 / 检测绕过表);崩溃迭代法与检测面对照表见…

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

    Shell commands in SKILL.md call:

    • adb
    • pip
    • python3
    • ssh
    • python

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com
    • build.frida.re

    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 Frida loads about 2.8k tokens when it runs, and up to ~5.5k if it reads all its reference files. Until then it costs about 14 tokens; SKILL.md has 736 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~14
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.5k

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). 736 words, ~2,793 tokens.

Download SKILL.mdSave it as .claude/skills/re-frida/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
re-frida
description
Frida 动态插桩(桌面+移动统一)。 触发词:frida、hook、插桩、绕过、spawn
capabilities
frida-instrumentation

Frida 动态插桩

何时使用 / 何时不用

  • 用:需要 hook 函数(拦截 / 改参 / 改返回值)、枚举模块与类、绕过证书校验 / root 检测、观察运行时调用链
  • 用:移动端(Android / iOS)与桌面端(Linux / macOS / Windows)统一的插桩需求
  • 不用:只需静态分析(Android 走 [[re-apk]],格式走 [[re-format-elf]] / [[re-format-macho]] 系列)
  • 不用:需要系统调用级跟踪(走 [[re-tracing]])
  • 不用:需要完整调试器体验(断点 / 单步 / 内存,走 [[re-gdb]] / [[re-lldb]] / [[re-x64dbg]])

工具准备

动态分析按 [[re-analyze/platform-tips]] 最高原则:移动端在受控设备 / 模拟器快照内执行,桌面端插桩前确认沙箱环境。所有工具先验证再使用。

frida-tools —— 主机侧命令行工具
  • 跨平台(Linux / macOS / Windows): pip install frida-tools(Python 3.8+;建议 venv: python3 -m venv venv && venv/bin/pip install frida-tools)
  • 验证: frida --version(输出 frida 版本号);frida-ps -U / frida-trace -h 可用
frida-server —— 移动端插桩代理
  • 下载:GitHub release https://github.com/frida/frida/releases,选 frida-server-<版本>-android-<架构>(arm64 选 -arm64,32 位选 -arm,模拟器 x86_64 选 -x86_64)
  • 客户端与 frida-server 至少须同 major(对照 frida --version);为避免功能/API 差异,推荐使用完全相同且最新的版本。架构与设备匹配,否则连接报协议错误(见坑 1)
  • Android 推送与启动:
    sh
    adb push frida-server-xxx /data/local/tmp/frida-server
    adb shell "chmod 755 /data/local/tmp/frida-server"
    adb shell "su -c /data/local/tmp/frida-server" &   # 或 adb root 后直接运行
  • iOS 越狱设备:Sileo / Cydia 添加源 https://build.frida.re 安装 frida deb,或 ssh root@<设备IP> 后安装
  • 验证: 主机 frida-ps -U 能列出设备进程(-U = USB 设备,-R = 远程 ip:port)
objection —— 免写 JS 的快速插桩
  • 要求 Python >=3.10(与 frida 自身 binding 的 >=3.7 下限不同,需单独满足): python -m pip install -U objection,建议另建 3.10+ 的 venv 或 pipx 隔离
  • 验证: objection --version
  • 用法: objection -n <应用或 Bundle ID> start,内置 android hooking / ios hooking 子命令(如 android hooking list activities、ios sslpinning disable)
  • 1.12.x 起 -g / explore 已弃用(在 CLI 中隐藏,仅出弃用告警,旧写法仍可跑);新写作用 -n + start

操作步骤

按顺序执行,每步记下结果。

  1. spawn vs attach 选择:

    sh
    frida -U -f com.target.app              # spawn:从零启动应用,能抓启动早期逻辑(解密 / 初始化)
    frida -U com.target.app                 # attach:附加到已运行进程(不重启)
    frida-trace -U -f com.target.app -i "Java!*"   # 启动即跟踪 Java 方法调用

    规则:抓启动逻辑 / 绕过早期检测用 spawn;只是观察现状用 attach。attach 晚于启动,可能错过已执行完的早期逻辑(见坑 2)。

  2. JS hook 编写(拦截 / 改参 / 返回值):

    js
    // hook.js —— 拦截、改参数、改返回值(Android Java 层)
    Java.perform(function () {
      var cls = Java.use("com.example.Target");
      cls.doLogin.implementation = function (user, pass) {
        console.log("doLogin(" + user + ", " + pass + ")");
        return this.doLogin("hacked", "pass123");   // 改参
      };
      cls.isLicensed.implementation = function () {
        return true;                                // 改返回值
      };
    });
    sh
    frida -U -f com.target.app -l hook.js

    原生函数用 Interceptor.attach(Process.getModuleByName("libfoo.so").findExportByName("func"), { onEnter: ..., onLeave: ... }) 拦截(onEnter 改参数、onLeave 用 retval.replace() 改返回值)。桌面端同样本:frida -p <pid> -l hook.js。

  3. 枚举与调用(enumerateModules / Java.perform):

    js
    Java.perform(function () {
      Java.enumerateLoadedClasses({
        onMatch: function (c) { if (c.indexOf("target") >= 0) console.log(c); },
        onComplete: function () {}
      });
    });
    js
    // 模块与导出枚举(原生层)
    Process.enumerateModules().forEach(function (m) { console.log(m.name + " " + m.base); });
    Process.getModuleByName("libfoo.so").enumerateExports().forEach(function (e) { console.log(e.name); });

    运行: frida -U -f com.target.app -l enum.js。定位到目标后直接主动调用:Java.use("com.x").method(...) / 原生导出函数。

  4. 绕过证书校验 / 检测(常见模板):

    js
    // Android SSL 绕过模板(配合抓包工具)
    Java.perform(function () {
      var X509TrustManager = Java.use("javax.net.ssl.X509TrustManager");
      var TrustAll = Java.registerClass({
        name: "com.bypass.TrustAll",
        implements: [X509TrustManager],
        methods: { checkClientTrusted: function () {}, checkServerTrusted: function () {},
                   getAcceptedIssuers: function () { return []; } }
      });
      var SSLContext = Java.use("javax.net.ssl.SSLContext");
      SSLContext.init.implementation = function (km, tm, sr) {
        this.init(km, [TrustAll.$new()], sr);
      };
    });
    js
    // iOS 证书绕过:hook SecTrustEvaluateWithError 返回值
    var SecTrust = Module.findGlobalExportByName("SecTrustEvaluateWithError");   // Frida 17+:全局符号静态查找
    Interceptor.attach(SecTrust, { onLeave: function (r) { this.context.x0 = 0; } }); // arm64 返回寄存器 x0;x86_64 用 rdi 场景先验证

    现成命令:objection -n com.target.app start → android sslpinning disable / ios sslpinning disable。

  5. 反检测对抗(隐藏 frida-server、改名):

    • 常见检测点:frida-server 默认端口 27042、/data/local/tmp/frida-server 路径、gum-js-loop / gmain 线程名、/proc/self/maps 中的 frida 特征、frida 字符串
    • 对策:
      sh
      # 1) 二进制改名后启动(避开路径检测)
      cp frida-server-xxx /data/local/tmp/fridad
      adb shell "su -c 'chmod 755 /data/local/tmp/fridad && /data/local/tmp/fridad' &"
      # 2) 换端口 + adb 端口转发,主机用 -H 连接
      adb shell "su -c '/data/local/tmp/fridad -l 0.0.0.0:27142' &"
      adb forward tcp:27142 tcp:27142
      frida -H 127.0.0.1:27142 -f com.target.app
    • root 检测对抗:先 hook 检测函数改返回值再插桩目标:Java.use("com.target.rootcheck").isRooted.implementation = function () { return false; };
    • 仍被检测 → frida-gadget 注入 App 进程(gadget listen(interactive)模式),配合 [[re-apk]] 的 smali 补丁加载 libgadget.so
  6. 脚本模板与对抗方法论:常用脚本骨架见 [[frida-scripts]](TLS keylog / DEX/SO dump / JNI 注册还原 / 加密拦截 / 检测绕过表);崩溃迭代法与检测面对照表见 [[re-analyze/anti-dynamic-workflow]]——先基线跑看裸崩,再定点 hook,不预置绕过全家桶。

跨域联合

  • [[re-address-space]]:运行时基址换算(Process.getModuleByName(...).base 与链接地址对齐)

  • [[re-mobile]]:工作流第 3 步动态插桩固定调用本技能

  • [[re-apk]] / [[re-ios]]:静态分析后需要运行时行为(解密 / hook / 绕过 / 脱壳执行)时调用本技能

  • 系统调用级跟踪互补 → [[re-tracing]];运行时内存提取 → [[re-memdump]]

  • 本技能被 [[re-analyze]] 的 triage「移动 App 分析」路径调用(re-mobile → re-frida)

  • 脚本生成:目标特征 → 模板选择 → 改写验证 → [[re-frida-script-author]](模板素材 [[frida-scripts]])

Show full SKILL.md (416 more words)Show less

常见坑与陷阱

  • 版本不匹配 → 协议错误:现象——frida-ps -U 报 unable to communicate with the frida server / 协议错误;原因——客户端与 frida-server major 不一致,或所用的功能在目标版本上不存在;对策——先查 major 是否匹配(frida --version 对照 frida-server 版本,见工具准备),再确认该功能是否被对应版本支持;升级侧用 pip install -U frida-tools
  • Frida 17 移除静态 Module 查找/枚举 API:现象——脚本报 TypeError: Module.findExportByName is not a function(或 getExportByName / enumerateExports / findBaseAddress 同类);原因——17.0.0 起静态查找与枚举 API 全部移除,静态只余 Module.load / Module.findGlobalExportByName / Module.getGlobalExportByName,其余改为模块实例方法;对策——先取实例再查:Process.getModuleByName("libfoo.so").findExportByName("func")(find 返 null,get 抛异常)、基址用 .base、枚举用 .enumerateExports();全局符号(原 null 模块参数)改用 Module.findGlobalExportByName(...);注意 Process.getModuleByName 在模块未加载时抛异常(旧 Module.findExportByName 返 null)——不确定时先用 Process.findModuleByName 判空再查;动笔前 frida --version 确认版本再选写法(迁移清单见 [[re-frida-script-author]] 版本相关组)
  • spawn 时机晚 → 错过早期逻辑:现象——attach 后 hook 不触发或早期解密已完成;原因——应用启动即解密 / 校验,attach 时已过;对策——用 -f spawn 模式起步即插桩;仍错过则 hook dlopen / ClassLoader.loadClass 这类更早的执行点
  • 目标检测 frida(端口 / 特征):现象——spawn 后应用闪退 / 卡死 / 行为异常;原因——应用扫描 27042 端口、frida-server 路径、frida 线程名或 maps 特征;对策——步骤 5 改名 + 换端口;仍检测用 frida-gadget 注入(隐藏于进程内)
  • root 检测拦插桩:现象——frida 可连接但 hook 不生效或直接退出;原因——应用先做 root / 越狱检测,检测到环境直接退出;对策——先 hook 检测函数返回值(步骤 5 模板),过了检测再 hook 目标函数
  • JS 脚本静默失败:现象——脚本加载无报错但 hook 无输出;原因——类名写错、Java.perform 外调用 Java API、模块名大小写不符;对策——用步骤 3 的枚举先核对名称,脚本内 console.log 打桩定位
  • hook 导出 API 被壳绕过(直 syscall / API 名哈希):现象——成功 hook 了 IsDebuggerPresent/NtQueryInformationProcess 等导出,反调试照样触发、进程退出;原因——加壳/加固目标不走导入表:自实现 GetProcAddress、API 名存哈希,或直接 syscall(内联 Nt* 直调),hook 点根本没经过;对策——hook 更深一层(ntdll 的 syscall 包装点)、跟踪 GetProcAddress/哈希解析处反推真实调用点,反调试与反 VM(RegOpenKeyExA/GetSystemFirmwareTable)API 一并 hook(Arkana 项目实战模板),先用 Process.enumerateModules()/enumerateExports 确认实际调用目标再插桩
  • 检测点升级(memfd/JIT 池/内存字符串/管道名):现象——改名、换端口启动 frida-server 后仍被检测;原因——新版检测不止端口与路径:扫描 /proc/self/fd 的 memfd 名称、JIT 缓存池(pool-frida)、frida_agent.so/frida_rpc 等内存字符串与导出符号、管道/linjector 名称,甚至非标准端口也会被扫(Promon 式扫描);对策——用 undetected-frida 补丁集(字符串/符号/线程/协议/memfd/JIT 池全量混淆,Magisk/KSU 模块形态),或 frida-gadget + 自编译隐藏版,缩小指纹面
  • 强加固(Pairipcore 类)整体对抗 Frida:现象——常见 hook 脚本(证书绕过/反检测/解密)全部失效,spawn 即闪退或行为异常,社区报告 frida-interception 类脚本无法绕过;原因——商业加固做 C++/Java 双层完整性校验 + 伪 VM 指令 + 自定义 dlopen/dlsym/syscall 动态导入混淆 + prctl/clone/waitpid/ptrace 反调试 + /proc/self/maps+/proc/self/status 进程监控 + 非标准端口扫描,整体防线而非单点;对策——先处理完整性校验与进程监控(hook 校验函数返回、patch 监控点)再过反调试,hook 落到自定义导入解析处而非导出 API,必要时结合 [[re-apk]] 静态改 smali + Native 层插桩配合
  • hook 出口函数多进程/多实现排查:现象——hook SocketOutputStream 无结果,抓包却看到流量;原因——应用多进程(发流量的逻辑在子进程)或使用 Netty 的 SocketChannelImpl(不走 OutputStream 路径);对策——排查顺序:hook 最外层出口 → 无果 ps -e 查子进程分别 hook → 再试 SocketChannelImpl 等替代实现;hook 成功后打印堆栈(Netty 的 MessageToByteEncoder 链)定位组装/加密代码;从"编解码器链"逐层向上追明文对象与加密产物
  • 对称加密密钥传输追踪:现象——抓到 RC4/AES 密文包,但密钥每次会话都变、静态搜不到;原因——对称加密密钥动态生成且在线传输(明文/加密后携带/协商);对策——hook 密钥传入处(加密函数参数 bArr 类)拿当前密钥,再向上追踪密钥来源与传输路径,配合抓包对照(首包固定头如 89 04 01 01 可作协议锚点)
  • 多层 TLS 校验栈:现象——单点 hook 后部分请求仍 SSL 错误;原因——App 同时用 OkHttp/原生 HttpsURLConnection/Conscrypt 多套栈;对策——分层覆盖(OkHttp CertificatePinner + TrustManagerImpl.verifyChain + HostnameVerifier 同时 hook),全栈覆盖才算绕过完成
  • ProGuard 混淆后定位目标类:现象——类名被改成短名;原因——混淆;对策——jadx 里 Find Usages 反查谁实例化关键 Builder,从实例化点反推原类 (来源:reverse-skill field-journal,MIT)
  • 测试环境选错 → 动态假阴性 / 交付假阳性:现象——同一环境里 hook 不触发、内存 patch 无效果,或模拟器一切正常但换真机就出问题;原因——x86 翻译层模拟器上 live Frida 不可用(Process.arch==x64 且找不到目标原生 so),运行时从未执行你的字节;部分目标在模拟器上校验宽松,「模拟器能跑」可能是降级假象;对策——按阶段选环境:静态 patch 与渲染回归可用任意模拟器(含 x86 翻译层),动态插桩必须原生 ARM,交付验证必须与目标匹配的真机;翻译层假象可证伪:把已知必需函数首指令 patch 成裸 ret,UI 照常渲染即运行时没执行你的字节,立即停掉该环境的 live 工作(盘上静态 patch 下次启动重新翻译仍可用);真机采集前 svc power stayon true 并唤醒,防睡眠屏造成「空白」假截图 (来源:reverse-skills(inliver233),MIT)
  • redroid 容器搭建与使用坑:现象——guest 静默挂死 / servicemanager 空转、vold 崩溃、adb 反复掉线、容器无法重启;原因——binder 挂载方式错误(必须 bind-mount /dev/binder,不能用 --device 或 binderfs)、新内核无 ashmem 时未加 androidboot.use_memfd=1、设了 ro.secure=1 ro.debuggable=0 杀掉 root adb、停掉的容器 binder 已消失无法 docker restart、adbd 高负载下崩溃;对策——binder 用 bind-mount、新内核强制 use_memfd、保留 root adb(防篡改用保持签名有效而非藏 root)、重建容器后重注入 adb 公钥(echo $PUBKEY > /data/misc/adb/adb_keys)、大文件用 docker cp 而非 adb push、动态分析用 spawn 模式(frida -U -f,attach 在防篡改下常 0 命中);定位认知——它是数据采集工具而非迭代环境,采完动态数据回稳定环境做静态 patch 回归 (来源:reverse-skills(inliver233),MIT)
  • AOT 目标上 hook 静默不触发 / 找不到调用者:现象——hook 无输出、目标函数静态 callers=0、门字段未知无法下针;原因——目标 so 晚于引擎加载(attach 时未加载)、虚方法经 cid 分派墙(不经 BL 调用,静态无捷径)、guard 字段位置未知;对策——等目标 so 加载后再 hook:200ms 轮询 findModuleByName 的 waitForLibapp 包装器,起步优先 spawn 模式;破 cid 墙:目标函数 onEnter 记 lr(returnAddress)+ Thread.backtrace(Backtracer.ACCURATE) 前 20 帧,一次回溯定位分派点;guard 定位三件套:Stalker.follow transform 里对 ldr 类指令放 putCallout(首个命中 PC = guard)、MemoryAccessMonitor.enable 等重建触发(arm64 支持不一需回退)、候选 hook 扫射;运行时翻转验证前置:live writePointer 翻转候选门字段 → 触发重建 → 组件消失即确认门字段,确认后再投静态 patch,省掉反复重打包;frida 17 起 Java bridge 不再内置于底层 GumJS runtime,但 frida CLI/REPL 与 frida-trace 仍自带三个 bridge,普通 frida -l 脚本无需改动;仅自建 agent / 走 bindings 注入脚本时需显式安装 frida-java-bridge(必要时用 frida-compile 打包) (来源:reverse-skills(inliver233),MIT)

© 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

SKILL.md and 1 other file (references) in .claude/skills/re-frida of dslsdzc/rev-skills.

  • SKILL.md
  • references/frida-scripts.md

Open the folder on GitHubat commit bd21db8

Compare with similar skills

Re Frida 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 Frida compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Re Frida this skilldslsdzc/rev-skills125—~2.8kAutomated safety check: PassApache-2.0
Frida Mobile Securityindex-login/MobileRE-Skill123—~3kAutomated safety check: PassMIT
Mira Risk Collectvw2x/Mira105—~793Automated safety check: PassGPL-3.0
R0crawl Skillsmanyuegong33/r0crawl_skills306—~1.2kAutomated safety check: PassNone
Mobile Reversesickn33/agentic-awesome-skills47k1 repos~1.5kAutomated safety check: PassMIT
Offensive MobileSnailSploit/Claude-Red7.3k—~3.5kAutomated safety check: PassMIT

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  • Re Fp Runtime

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    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.

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  • Re Hypervisor

    dslsdzc/rev-skills

    虚拟化逆向:VT-x/SVM、hypervisor 检测、VMCS/EPT 分析, 以及 Xen / QNX Hypervisor / Jailhouse / ACRN / Bao / Hyper-V·VMBus / XtratuM / LynxSecure / Quest-V 的分区与 vdev 语义。

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    dslsdzc/rev-skills

    射频逆向:信号采集、频谱分析、解调、帧同步与协议恢复、重放. An agent skill from dslsdzc/rev-skills.

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    dslsdzc/rev-skills

    UEFI/BIOS 固件:SEC/PEI/DXE/BDS 阶段判定、DXE 驱动、UEFI 模块、bootkit. An agent skill from dslsdzc/rev-skills.

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Categories

Questions about Re Frida

What does Re Frida do?

Frida 动态插桩(桌面+移动统一). An agent skill from dslsdzc/rev-skills. Re Frida is an agent skill from dslsdzc/rev-skills.

When should I use Re Frida?

Re Frida fits situations like: tasks that involve Mobile application security.

How do I install Re Frida in Claude Code?

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

How do I install Re Frida in Codex?

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

Can I use Re Frida 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-frida -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-frida, .gemini/skills/re-frida, .github/skills/re-frida and .opencode/skills/re-frida in your project.

What does Re Frida need to run?

Going by SKILL.md and its folder, Re Frida needs the command-line tools its instructions call (adb, pip, python3, ssh and python). Our summary lists: Python 3.

Does Re Frida access the network?

SKILL.md names 2 domains. In commands or code: github.com and build.frida.re; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Re Frida 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 Frida use?

Re Frida 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 Frida use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.

What are the alternatives to Re Frida?

Skills that share tags, products or a category with Re Frida: Frida Mobile Security (index-login/MobileRE-Skill, 123 stars), Mira Risk Collect (vw2x/Mira, 105 stars), R0crawl Skills (manyuegong33/r0crawl_skills, 306 stars) and Mobile Reverse (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Re Frida?

dslsdzc (a GitHub user) maintains it in dslsdzc/rev-skills, which has 125 GitHub stars. The repository holds 41 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.