Agent skill

Re Arm

by dslsdzc in dslsdzc/rev-skills

ARM 架构逆向(非 Android):Cortex-M/A 向量表、Thumb/ARM 切换、AAPCS 调用约定、位置相关代码重定位、MMIO 外设寄存器交叉。

Apache-2.0Auto-check passedSecurity

Install Re Arm

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

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

GitHub CLI
$ gh skill install dslsdzc/rev-skills re-arm --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-arm .claude/skills/re-arm && 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-arm
GitHub stars
125
Token cost
~2.2k tokens
SKILL.md length
789 words
Files
1
Skills in repo
41
Repo updated
First seen
Licence
Apache-2.0

At a glance

ARM 架构逆向(非 Android):Cortex-M/A 向量表、Thumb/ARM 切换、AAPCS 调用约定、位置相关代码重定位、MMIO 外设寄存器交叉。

  • Works in 6 steps: 架构与字节序确认 → 入口定位 → AArch32 Thumb/T32 函数边界(Thumb/ARM 切换) → …
  • Tasks that involve Reverse engineering and malware
  • 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 apt, brew and dnf

What it does

Re Arm is an agent skill from dslsdzc/rev-skills. ARM 架构逆向(非 Android):Cortex-M/A 向量表、Thumb/ARM 切换、AAPCS 调用约定、位置相关代码重定位、MMIO 外设寄存器交叉。 触发词:ARM、arm32、Cortex-M、Cortex-A、Thumb、AAPCS、嵌入式逆向、裸机固件、stm32、向量表。

Its SKILL.md is about 2.2k 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, covering Reverse engineering and malware. It works with Android, Ghidra, Linux and macOS. 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 Reverse engineering and malware

Example prompts

  • “/re-arm”

Workflow steps

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

  1. 架构与字节序确认
  2. 入口定位
  3. AArch32 Thumb/T32 函数边界(Thumb/ARM 切换)
  4. 基址 / 重定位(加载地址 vs 链接地址)
  5. AAPCS 调用约定识别
  6. 外设寄存器交叉(MMIO xref)

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:

    • apt
    • brew
    • dnf

    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 Arm loads about 2.2k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 789 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

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). 789 words, ~2,202 tokens.

Download SKILL.mdSave it as .claude/skills/re-arm/SKILL.md (or your agent's skills folder).
name
re-arm
description
ARM 架构逆向(非 Android):Cortex-M/A 向量表、Thumb/ARM 切换、AAPCS 调用约定、位置相关代码重定位、MMIO 外设寄存器交叉。 触发词:ARM、arm32、Cortex-M、Cortex-A、Thumb、AAPCS、嵌入式逆向、裸机固件、stm32、向量表。
capabilities
arch-analysis

ARM 架构逆向(Cortex-M/A、Thumb、AAPCS)

何时使用 / 何时不用

  • 用:非 Android 场景的 ARM——嵌入式裸机/固件(Cortex-M0/M3/M4/M7、Cortex-A)
  • 用:Thumb/ARM 指令集切换、AAPCS 调用约定识别、M 系向量表入口定位、位置相关代码重定位
  • 用:MMIO 外设寄存器交叉分析(0x4000xxxx 外设区、LDR 立即数池)
  • 不用:Android .so(走 [[re-android-native]])
  • 不用:通用 AArch64 Linux 用户态程序(走 [[re-binary-core]] 通用底座,本技能只补 ARM 特有语义)
  • 不用:只需解包固件看内容([[re-fw-extract]])/ 分析文件系统配置([[re-fw-rootfs]])/ 整体启动固件([[re-fw-emulate]])
  • 不用:RISC-V / x86 等其他架构(走 [[re-binary-core]])

工具准备

所有工具先验证再使用。静态分析可免沙箱;qemu 动态执行默认沙箱 + 网络隔离([[re-analyze/platform-tips]] 最高原则)。

反编译器(Ghidra / IDA 任选其一)
  • Ghidra(内置 ARM 处理器模块,Cortex-M0/M0+/M3/M4/M7 选 Cortex 变体(v8-m 仅 M23/M33/M55)、Cortex-A 选 v7,均为小端 LE):
    • Linux: 官方 release 包(需 JDK);部分发行版仓库有 apt install ghidra / pacman -S ghidra
    • macOS: brew install --cask ghidra;Windows: 官方 zip
    • 验证: analyzeHeadless -help(headless 模式)或 GUI 导入 ARM ELF
    • Ghidra 按 Thumb 函数位 0(TMode)自动切换 Thumb/ARM 反汇编;导入时核对处理器变体与端序
  • IDA:商业版含 ARM32/ARM64 + Thumb 模块;Freeware 版架构支持范围以官方页面为准
  • 导入时确认架构(ARM vs AArch64)与变体——Cortex-M0/M0+ 实现 Armv6-M:以 16 位 Thumb 编码为主,但含少量合法 32 位编码(BL、DMB/DSB/ISB、MRS/MSR);必须选 v6-M 变体,只有出现 Armv6-M 之外的编码(MOVW/MOVT、CLZ、硬件除/取模)才说明变体选错
readelf / file —— 架构与字节序确认(binutils)
  • Linux: binutils 自带(apt install binutils 等);macOS: brew install binutils 或 LLVM 系 readelf;Windows: WSL 内
  • 验证: readelf --version
binwalk —— 固件与内嵌文件扫描
  • 安装渠道与版本分辨(v3 主线 / v2 legacy)见 [[re-fw-extract]] 的 binwalk/unblob 安装矩阵
  • 验证: binwalk --version、unblob --version
qemu-arm / qemu-aarch64 —— ARM 用户态仿真(动态验证)
  • Linux: apt install qemu-user / dnf install qemu-user / pacman -S qemu-user
  • macOS: brew install qemu(含用户态);Windows/WSL: WSL 内 Linux 版
  • 32 位为 qemu-arm、64 位为 qemu-aarch64;-L <rootfs> 指定动态库/链接器来源,-strace 跟踪系统调用
  • 验证: qemu-arm --version、qemu-aarch64 --version
  • 裸机 Cortex-M(无 OS 引导、向量表 0x0 起)qemu-user 不适用——用 qemu-system-arm -machine mps2-an385(Cortex-M3)等板级模型(-s -S 接 gdb),或 [[re-emulation]] 用 Unicorn 逐指令
gdb-multiarch —— 交叉调试
  • Linux: Debian/Ubuntu apt install gdb-multiarch(该包在 Debian/Ubuntu 及其衍生的官方仓库有);Fedora dnf install gdb(官方 gdb 支持多目标、可调裸机 ARM;arm-none-eabi-gdb 不在 Fedora 官方仓库,如需嵌入式专用工具链用官方预编译 ARM 工具链);Arch pacman -S gdb(官方 gdb 已内置 multiarch)
  • macOS: brew install gdb(需 Developer Tools 授权,见 [[re-analyze/platform-tips]] macOS 分支)或 WSL 内 Linux 版;Windows/WSL: WSL 内 Linux 版
  • 验证: Debian/Ubuntu gdb-multiarch --version;Fedora/Arch gdb --version;载入裸机固件后 set architecture armv7-m 再 file 加载,info registers 确认
  • 真机 SWD/JTAG 调试走 OpenOCD + gdb([[re-hardware-io]]);仿真目标用 qemu-system-arm -s -S 或 qemu-arm -g <port>

操作步骤

按顺序执行,每步结果存档;动态执行默认沙箱。

  1. 架构与字节序确认:

    sh
    file target.bin                 # "ARM"=32 位(含 Thumb)、"AArch64"=64 位;MSB/LSB 端序提示
    file target.elf
    readelf -h target.elf           # Machine=ARM / AArch64;Data=little-endian / big-endian
    readelf -A target.elf | head    # Tag_ABI_VFP_args: 1=硬浮点(HFABI)、0=软浮点;EABI 版本
    • e_flags 高位直接标识浮点 ABI:EF_ARM_ABI_FLOAT_HARD(0x400) 硬浮点 / EF_ARM_ABI_FLOAT_SOFT(0x200) 软浮点(对应坑 5)
    • 裸机 .bin(无 ELF 头)由步骤 2 的向量表/复位向量判定架构、端序与 Cortex-M 变体
  2. 入口定位:

    • Cortex-M 向量表(默认 0x0 起,4 字节/项,地址 = 异常号×4):
      • 第 1 项(offset 0x0):初始 MSP 值——指向 RAM 区(0x20000000 附近),可反向佐证加载基址
      • 第 2 项(offset 0x4):Reset handler(复位后执行的第一条指令)
      • 其后 NMI(0x8)、HardFault(0xC)……每项地址 LSB 必须为 1(Thumb);LSB=0 触发 INVSTATE 进 HardFault
      • VTOR(0xE000ED08)可重定位向量表,固件可能把表放 RAM 或其他 flash 地址,先按 0x0 试,不成立再搜 MSP/Reset 组合
    • Cortex-A 启动代码——先分清 AArch32 / AArch64,两套异常模型不同:
      • AArch32(Armv7-A 经典模型):复位向量 0x00000000(或高端向量 0xFFFF0000,取决于架构版本的控制位),异常向量表 8 项(Reset/Undef/SWI/Prefetch Abort/Data Abort/Reserved/IRQ/FIQ)
      • AArch64(Armv8-A)没有这套固定 8 项表:异常向量基址来自各 EL 的 VBAR_EL1/EL2/EL3,每张表 16 个 slot、间隔 0x80(覆盖 +0x000..+0x780),按 当前 EL / 低 EL × SP_EL0 / SP_ELx × AArch64 / AArch32 来源 × Synchronous/IRQ/FIQ/SError 分类;VBAR_ELx 复位后为 undefined,须由启动代码显式配置——不要用 0x00000000 / 0xFFFF0000 这套 low/high vectors 规则去找 AArch64 异常表
      • 逆向裸机 Armv8-A 固件时,定位异常表的可靠线索是 msr vbar_el1/el2/el3, Xt 及其地址构造序列;reset entry 本身由实现/SoC 启动配置决定(平台可提供 core reset vector base 配置),不能假定固定在 0
      • 启动流程一般为 设栈指针 → 拷贝 .data → 清零 .bss → 配置 MMU/时钟 → 跳 main;带引导链的(boot ROM → BL1/BL2 → u-boot/EL3 固件)按链逐级衔接 [[re-fw-rootfs]]
    • 定位复位向量后在反编译器中标注入口,沿调用链展开主逻辑
  3. AArch32 Thumb/T32 函数边界(Thumb/ARM 切换):

    • Thumb 函数地址 LSB=1:ELF 符号(nm / readelf -s 中 Thumb 函数为奇地址)、BL 目标、向量表项、虚表函数指针项都带 Thumb 位
    • bx rN / blx rN:按目标寄存器位 0 切换状态(1=Thumb);blx 立即数形式直接切到 ARM 态目标
    • BL 立即数距离上限:ARM 态 ±32MB、Thumb 态 ±16MB(BL 为 32 位编码,Armv6-M 虽无完整 Thumb-2 亦支持 BL;实际可达范围按具体编码/重定位如 R_ARM_THM_CALL 判定,超距由链接器插 veneer);超限时链接器插入 veneer 跳板(形态如 ldr pc, =addr、movw+movt+bx),看到片状跳板序列不要当业务逻辑;veneer 也用于 ARM↔Thumb 状态切换
    • 剥离符号的二进制:binutils 靠映射符号 $a/$t/$d 决定反汇编状态,映射符号丢失后会按错误状态反汇编——用 arm-none-eabi-objdump -d -M force-thumb 强制 Thumb,或交给 Ghidra 按 TMode 启发式切换
    • 用步骤 6 的立即数池与字符串引用交叉验证函数边界
  4. 基址 / 重定位(加载地址 vs 链接地址):

    • 固件链接基址与提取物实际加载位置常不一致(例:链接 0x08000000 的 flash 固件被从外部存储地址提取;向量表第 1 项 MSP 指向的 RAM 范围可佐证)
    • 确定链接基址(复位向量推算 / 立即数池内字符串引用 / 跳转表交叉)→ 计算偏移 → Ghidra "Memory Map → Set Image Base" 或 IDA "Edit → Segments → Rebase program" 整体修正 → 修正后字符串、立即数池、跳转表全部对齐
    • 有 ELF 时对比 LMA/VMA(readelf -l):VMA 即链接地址;加载地址看 LMA / p_paddr
    • 先修正再反编译,否则大量引用错位、反编译面目全非
  5. AAPCS 调用约定识别:

    • 32 位(AAPCS32):r0-r3 传前 4 参(多余参数栈传)、返回值 r0、64 位参数占 r0:r1 等偶对;r4-r8/r10-r11 被调用者保存、r9 平台相关;r12(IP) 调用内临时、r13(SP)、r14(LR) 返回地址、r15(PC);公共接口 8 字节栈对齐
    • 函数序言特征:push {r4-r11, lr},尾部 pop {..., pc}(借 LR 同时恢复 PC);叶子函数(无嵌套调用)常不 push LR,直接 bx lr
    • HFABI(硬浮点):浮点参数走 VFP 寄存器 s0-s15 / d0-d7(双精度),结果 s0/d0;软浮点 ABI 浮点参数走 r0-r3;readelf -A 的 Tag_ABI_VFP_args 区分(混用时最易错,见坑 5)
    • 64 位(AAPCS64,AArch64):x0-x7 传参、x8 间接结果寄存器、x19-x28 被调用者保存、x29 帧指针、x30(LR)、SP 16 字节对齐;序言特征 stp x29, x30, [sp, #-16]!
    • ARM 上 C++ 产物(RTTI/虚表/异常)恢复交叉参考 [[re-cpp-abi]];AArch32 虚表中指向 Thumb/T32 函数的函数指针项同样带 Thumb 状态位(bit0=1,解析实际地址时清 bit0),AArch64 用 A64、无 Thumb 态,不适用此规则
  6. 外设寄存器交叉(MMIO xref):

    • Cortex-M 外设区 0x40000000-0x5FFFFFFF(具体外设基址如 0x4000xxxx、0x48000000 随器件而异),0xE0000000 起为 PPB(NVIC/SCB/SysTick);核对 SoC datasheet 的 memory map
    • 典型访问形态:ldr rN, [pc, #imm] 从函数尾部立即数池取地址 → str/ldr 访问外设;手工算池地址时注意 Thumb 态 PC=当前+4、ARM 态 +8,且按 4 字节对齐
    • 反编译器中把外设区标注为寄存器区(不是数据段)——防止误判(见坑 3);按 UART/GPIO/timer 等寄存器语义反推硬件行为,轮询 status/flag 位的循环就是与外设交互的握手/等待逻辑
    • 交叉验证:外设地址常量 + 初始化序列(时钟使能、GPIO 配置)对照厂商参考代码模式
Show full SKILL.md (172 more words)Show less

跨域联合

  • [[re-binary-core]]:ARM ELF 通用初勘/反编译/调试底座([[re-ghidra]]、[[re-ida]]、[[re-gdb]]、[[re-radare2]] 照常使用)
  • [[re-firmware]]:固件类样本网关路径(re-firmware → re-fw-extract → re-fw-rootfs → 本技能)
  • [[re-fw-extract]] / [[re-fw-rootfs]]:固件解包与文件系统/配置分析前置
  • [[re-fw-emulate]]:整体启动固件或用户态运行 ARM 程序(qemu 系列)
  • [[re-rtos]]:MCU 固件内 RTOS(FreeRTOS 等)任务表/TCB 定位后按任务拆解反编译
  • [[re-hardware-io]]:JTAG/SWD 真机调试与 flash 读取(OpenOCD + gdb-multiarch)
  • [[re-emulation]]:无 qemu 场景用 Unicorn 模拟执行(裸机 Cortex-M 逐指令验证)
  • [[re-cpp-abi]]:ARM 上 C++ 产物 RTTI/异常/虚表恢复
  • [[re-variant]]:固件多版本对比与补丁 diff
  • [[re-sandbox]]:一切动态执行强制前置([[re-analyze/platform-tips]] 默认沙箱原则)
  • 配套:[[re-patching]](Thumb 字节补丁)、[[re-android-native]](Android .so 场景)

常见坑与陷阱

  • Thumb 奇地址误判(函数起点偏移 1 字节):现象——按符号或 BL 目标地址定位函数却从半条指令开始,反汇编全乱;原因——Thumb 函数地址 LSB=1 是模式位不是代码字节,直接当绝对地址用整体错位;对策——进函数/解跳转目标前把地址清位 0(&~1);手工算地址时以此为准(Ghidra/IDA 已自动处理)
  • BL/BLX 距离上限外的 veneer 混淆:现象——调用链里出现成片 movw/movt + bx、ldr pc 跳板,被当成业务逻辑分析;原因——BL 立即数只能覆盖 ARM ±32MB / Thumb ±16MB,超限链接器插 veneer;对策——识别短跳板形态(结尾 bx/ldr pc 且目标为远地址)后跳过,继续跟踪最终目标;跨状态(Thumb↔ARM)调用同样经 veneer
  • M 系外设映射区当数据段:现象——0x4000xxxx 区域被当"数据"且内容随机,外设读写被当普通内存访问分析不出语义;原因——MMIO 区是寄存器不是存储,读可改状态、写有副作用;对策——反编译器中标注为寄存器区,按 datasheet memory map + 寄存器表逐位还原语义,轮询 status 位识别握手/等待循环
  • R14(LR) 双用途反编译失真:现象——某些函数"没保存返回地址"却调用了子函数,调用图断裂;原因——LR 是寄存器不是专用返回栈,叶子函数可把它当普通临时寄存器,Cortex-M 异常入口的 LR 还可能是 EXC_RETURN 特殊值;对策——按 push {..., lr} 与 bl 前后 LR 赋值点重建调用关系;异常入口现场恢复序列(入栈 8 字 r0-r3/r12/LR/PC/xPSR,PC 在 [sp,#0x18])用于确认异常处理函数
  • HFABI 与软浮点混用时参数解读错误:现象——函数首参是 float,反编译却从 r0 取,值全不对;原因——ABI 判定错(把 softfp 当 hard,或反之);对策——readelf -A 的 Tag_ABI_VFP_args 与 e_flags 的 0x400/0x200 位定 ABI,再看参数实际落在哪组寄存器:首参从 s0-s15/d0-d7 收 = 硬浮点,从 r0-r3 收 = 软浮点。关键:-mfloat-abi=softfp 是"软浮点调用约定 + 允许 VFP 指令"——它照样发射 vmov/vadd/vcmp 等浮点指令,参数却仍走整数寄存器(实测:vmov s0, r1 把 r1 搬进 s0),所以浮点指令出现频率不能佐证 float ABI,只能佐证"代码用了 VFP"
  • Cortex-M0 变体选错(按指令宽度误判):现象——把 M0 固件按 v7/v8-M 反汇编,出现大量 Armv6-M 之外的 32 位指令;原因——ARMv6-M(M0/M0+)以 16 位 Thumb 编码为主,但并非「只有 16 位」:BL、DMB/DSB/ISB、MRS/MSR 就是合法的 32 位编码,仅按指令宽度判定会把合法编码当幻觉、也会漏掉真正的越界指令;对策——导入时确认变体(v6M vs v7/v8M),按具体 opcode 是否属于 Armv6-M 判定——出现 MOVW/MOVT、CLZ、硬件除/取模等 Armv6-M 之外的编码才说明变体选错

© 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-arm of dslsdzc/rev-skills.

Open the folder on GitHubat commit bd21db8

Compare with similar skills

Re Arm 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 Arm compared with similar skills
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Re Arm this skilldslsdzc/rev-skills125—~2.2kAutomated safety check: PassApache-2.0
Ctf Cryptoljagiello/ctf-skills3.4k—~11kAutomated safety check: NotesMIT
Audit Skillssickn33/agentic-awesome-skills47k2 repos~1.6kAutomated safety check: WarnMIT
Analyzing Linux Elf Malwaremukul975/Anthropic-Cybersecurity-Skills34k—~3.1kAutomated safety check: WarnApache-2.0
Engine Whats Newflutter/flutter179k—~978Automated safety check: PassBSD-3-Clause
Updating Android SDKflutter/flutter179k—~1.7kAutomated safety check: PassBSD-3-Clause

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  • Re Uefi

    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 Arm

What does Re Arm do?

ARM 架构逆向(非 Android):Cortex-M/A 向量表、Thumb/ARM 切换、AAPCS 调用约定、位置相关代码重定位、MMIO 外设寄存器交叉。. Re Arm is an agent skill from dslsdzc/rev-skills.

When should I use Re Arm?

Re Arm fits situations like: tasks that involve Reverse engineering and malware.

How do I install Re Arm in Claude Code?

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

How do I install Re Arm in Codex?

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

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

What does Re Arm need to run?

Going by SKILL.md and its folder, Re Arm needs the command-line tools its instructions call (apt, brew and dnf).

Does Re Arm 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 Arm 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 Arm use?

Re Arm 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 Arm use?

About 2.2k tokens (SKILL.md is roughly 8.8k 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 Arm?

Skills that share tags, products or a category with Re Arm: Ctf Crypto (ljagiello/ctf-skills, 3.4k stars), Audit Skills (sickn33/agentic-awesome-skills, 47k stars), Analyzing Linux Elf Malware (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Engine Whats New (flutter/flutter, 179k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Re Arm?

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.