Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add dslsdzc/rev-skills --skill re-fridagit clone --depth 1 https://github.com/dslsdzc/rev-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/dslsdzc/rev-skills/re-frida)<a href="https://agentmods.dev/skills/dslsdzc/rev-skills/re-frida"><img src="https://agentmods.dev/badge/skills/dslsdzc/rev-skills/re-frida/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dslsdzc/rev-skills/re-frida"><img src="https://agentmods.dev/badge/skills/dslsdzc/rev-skills/re-frida.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Privilege Escalation · line 35 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
- medium Privilege Escalation · line 124 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.04673 |
| Opus 5 | $0.00018 | $0.02337 |
| Sonnet 5 | $0.00007 | $0.00935 |
| Haiku 4.5 | $0.00004 | $0.00467 |
Grade B, and why
re-frida scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
adb shell "chmod 755 /data/local/tmp/frida-server" How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 [[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) - 版本必须与主机 frida 完全一致(对照
frida --version),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:
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
- 跨平台:
pip install objection - 验证:
objection --version - 用法:
objection -g <应用> explore,内置android hooking/ios hooking子命令(如android hooking list activities、ios sslpinning disable)
操作步骤
按顺序执行,每步记下结果。
-
spawn vs attach 选择:
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)。
-
JS hook 编写(拦截 / 改参 / 返回值):
// 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 }; });frida -U -f com.target.app -l hook.js原生函数用
Interceptor.attach(Module.findExportByName("libfoo.so", "func"), { onEnter: ..., onLeave: ... })拦截(onEnter 改参数、onLeave 改返回值)。桌面端同样本:frida -p <pid> -l hook.js。
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 165 lines · 37 tokens per session scan B 034ca39af888
re-frida is a skill published in the GitHub repository dslsdzc/rev-skills (52 stars, last pushed 12d ago), licensed Apache-2.0. It adds 37 tokens to every session and 4,673 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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