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Rev Frida

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P4nda0s
rev-frida

Generate Frida hook scripts using modern Frida API. Activate when the user wants to write Frida scripts, hook functions at runtime, trace calls or arguments or return values, intercept native or ObjC or Java methods, dump memory or exports, or handle native module load timing for Android and other targets.

Overview

PublisherP4nda0s
Repositoryreverse-skills
Skill namerev-frida
Stars
2.1K
Forks
268
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by P4nda0s on GitHub. Read the source before you install it.

Installation

Install the Rev Frida AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/P4nda0s/reverse-skills.git /tmp/reverse-skills
mkdir -p .claude/skills
cp -r /tmp/reverse-skills/skills/rev-frida .claude/skills/rev-frida
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rev Frida in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Rev Frida on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Rev Frida is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

rev-frida - Frida Script Generator

Generate Frida instrumentation scripts for dynamic analysis, hooking, and runtime inspection.

Overview

Use Frida for:

  • native export hooks
  • Java or ObjC method hooks
  • runtime tracing
  • argument or return-value capture
  • memory dumping
  • loader-aware native instrumentation

Important: Modern Frida CLI

The modern Frida CLI does not use --no-pause. A spawned process resumes after the script is loaded.

bash
# Spawn and hook
frida -U -f com.example.app -l hook.js

# Attach to running process
frida -U com.example.app -l hook.js

# Attach by PID
frida -U -p 1234 -l hook.js

Modern API Reference

Module & Symbol Lookup

javascript
const mod = Process.getModuleByName("libssl.so");

mod.name;
mod.base;
mod.size;
mod.path;

const ptr = mod.getExportByName("SSL_read");

Process.enumerateModules();
mod.enumerateExports();
mod.enumerateImports();

const addr = Module.getExportByName(null, "open");

Interceptor

javascript
Interceptor.attach(ptr, {
    onEnter(args) {
        console.log("arg0:", args[0].toInt32());
        console.log("arg1 str:", args[1].readUtf8String());
    },
    onLeave(retval) {
        console.log("ret:", retval.toInt32());
    }
});

Interceptor.replace(ptr, new NativeCallback(function (a0, a1) {
    console.log("replaced");
    return 0;
}, "int", ["pointer", "int"]));

NativeFunction & NativeCallback

javascript
const open = new NativeFunction(
    Module.getExportByName(null, "open"),
    "int",
    ["pointer", "int"]
);

const fd = open(Memory.allocUtf8String("/etc/hosts"), 0);

const cb = new NativeCallback(function (arg) {
    console.log("called with:", arg);
    return 0;
}, "int", ["int"]);

Memory Operations

javascript
ptr(addr).readByteArray(size);
ptr(addr).readUtf8String();
ptr(addr).readU32();
ptr(addr).readPointer();

ptr(addr).writeByteArray(bytes);
ptr(addr).writeUtf8String("hello");
ptr(addr).writeU32(0x41414141);

const buf = Memory.alloc(256);
const str = Memory.allocUtf8String("hello");

Memory.scan(mod.base, mod.size, "48 89 5C 24 ?? 48 89 6C", {
    onMatch(address, size) {
        console.log("found at:", address);
    },
    onComplete() {}
});

ObjC

javascript
if (ObjC.available) {
    const hook = ObjC.classes.ClassName["- methodName:"];
    Interceptor.attach(hook.implementation, {
        onEnter(args) {
            const selfObj = new ObjC.Object(args[0]);
            const param = new ObjC.Object(args[2]);
            console.log(selfObj.toString());
            console.log(param.toString());
        }
    });
}

Java

javascript
if (Java.available) {
    Java.perform(function () {
        const Activity = Java.use("android.app.Activity");
        Activity.onCreate.implementation = function (bundle) {
            console.log("onCreate called");
            return this.onCreate(bundle);
        };
    });
}

Script Generation Guidelines

When generating Frida scripts:

  1. Always use the modern API such as Process.getModuleByName() and mod.getExportByName().
  2. Do not use --no-pause.
  3. Prefer load-event-driven native hooking over polling.
  4. Print pointers and buffers in readable form.
  5. Wrap risky hooks in try/catch.
  6. Use hexdump() for binary inspection.

Handle Native Module Load Timing

Do not assume a target .so is already loaded.

Preferred order:

  1. Hook android_dlopen_ext or dlopen and install hooks when the target library loads.
  2. Use an immediate Process.findModuleByName() check for already-loaded modules.
  3. Use polling only as a fallback.

Use this helper by default:

javascript
function hookModuleLoad(moduleName, callback) {
    const dlopen = Module.findGlobalExportByName("android_dlopen_ext")
        || Module.findGlobalExportByName("dlopen");

    if (!dlopen) {
        throw new Error("dlopen/android_dlopen_ext not found");
    }

    const hooked = new Set();

    Interceptor.attach(dlopen, {
        onEnter(args) {
            this.path = args[0].isNull() ? null : args[0].readCString();
            this.shouldHook = this.path && this.path.indexOf(moduleName) !== -1;
        },
        onLeave(retval) {
            if (!this.shouldHook || retval.isNull()) {
                return;
            }

            const mod = Process.findModuleByName(moduleName);
            if (!mod) {
                return;
            }

            const key = mod.base.toString();
            if (hooked.has(key)) {
                return;
            }
            hooked.add(key);

            callback(mod);
        }
    });
}

Use it like this:

javascript
hookModuleLoad("libtarget.so", function (mod) {
    const target = mod.getExportByName("target_export");
    Interceptor.attach(target, {
        onEnter(args) {
            console.log("target_export called");
        }
    });
});

If the target may already be loaded, combine an immediate check with the load hook:

javascript
function hookNowOrOnLoad(moduleName, callback) {
    const mod = Process.findModuleByName(moduleName);
    if (mod) {
        callback(mod);
        return;
    }
    hookModuleLoad(moduleName, callback);
}

Use polling only as a fallback:

javascript
function hookWhenReady(moduleName, exportName, callbacks) {
    const mod = Process.findModuleByName(moduleName);
    if (mod) {
        Interceptor.attach(mod.getExportByName(exportName), callbacks);
        return;
    }

    const timer = setInterval(function () {
        const loaded = Process.findModuleByName(moduleName);
        if (!loaded) {
            return;
        }
        clearInterval(timer);
        Interceptor.attach(loaded.getExportByName(exportName), callbacks);
    }, 100);
}

Notes:

  • On Android, prefer android_dlopen_ext before dlopen.
  • Deduplicate by module base, not only by path.
  • onLeave of dlopen/android_dlopen_ext is usually the right time to install hooks after constructors have run.
  • If Java drives native loading, also consider System.loadLibrary, Runtime.loadLibrary0, dlsym, or RegisterNatives.

Do Not Blindly Hook init Series Functions

Do not tell the user to hook .init, .init_array, constructors, or JNI_OnLoad blindly.

These are fragile points:

  • many libraries perform one-time setup there
  • bad hooks can crash the process before the real target logic runs
  • early hooks can change timing and hide the behavior the user wants to study
  • constructor code often fans out into many unrelated helpers

Before suggesting an init-stage hook:

  1. identify why early hooking is required
  2. identify the exact module and exact initialization routine
  3. confirm whether the target symbol or behavior only exists before normal exports are reachable
  4. prefer a later stable hook if it gives the same visibility

Prefer this order:

  1. hook a stable exported function after module load
  2. hook RegisterNatives, dlsym, or the first real business function
  3. hook JNI_OnLoad only if native registration or anti-debug setup happens there
  4. hook constructors or .init_array only if there is strong evidence that the critical logic is there

If proposing an early init hook, state:

  • why the normal export hook is insufficient
  • what exact function or address should be hooked
  • what failure mode to expect
  • how to verify the hook did not break initialization

Bad advice:

javascript
// do not suggest this without a reason
Interceptor.attach(Module.findBaseAddress("libtarget.so").add(0x1234), ...);

Better advice:

  • wait for module load
  • confirm the constructor target by symbols, xrefs, strings, or trace evidence
  • attach only after identifying the exact initialization function
  • explain the risk to the user before using an init-stage hook

Prefer Constructor Dispatchers Over Blind init Hooks

If anti-debug logic is suspected inside the constructor chain, prefer observing or hooking the dispatcher first instead of attaching blindly to raw .init_array entries.

Useful higher-level targets include:

  • call_constructors
  • call_array
  • linker-side constructor walkers
  • app-side wrapper functions that iterate constructor tables

Why this is safer:

  • one hook can reveal the full constructor sequence
  • you can see which constructor runs immediately before termination or anti-debug setup
  • it reduces blind patching of unrelated initialization code
  • it lets you log constructor targets first and patch only the offending one later

Recommended workflow:

  1. hook module load
  2. identify whether the process terminates during constructor execution
  3. if yes, hook call_constructors or call_array when available
  4. log each constructor target as it is dispatched
  5. identify the exact constructor that performs anti-debug checks
  6. patch or hook that constructor, or patch the specific anti-debug branch inside it

Only suggest call_constructors or call_array when:

  • the target platform or linker build exposes those functions
  • symbols, traces, or disassembly indicate they are actually used
  • the user needs visibility into constructor-time anti-debug behavior

Warn about these constraints:

  • these functions are loader or linker internals and names may vary by Android version, vendor build, or platform
  • they may not be exported and may require symbol recovery or offset-based attachment
  • hooking them too early can affect every library load, so scope logging carefully
  • use them for discovery first, not as a default permanent bypass

Good guidance:

  • “The process dies during native library initialization. First hook the constructor dispatcher such as call_constructors or call_array if present, log the constructor targets, then move to the exact offending constructor.”

Bad guidance:

  • “Hook every .init_array entry and patch until it stops crashing.”

Pointer and Buffer Logging

javascript
console.log(args[0]);
console.log(args[0].toString());
console.log(hexdump(args[0], {
    offset: 0,
    length: 64,
    header: true,
    ansi: false
}));

Frequently asked questions

What does the Rev Frida AI skill do?

Generate Frida hook scripts using modern Frida API. Activate when the user wants to write Frida scripts, hook functions at runtime, trace calls or arguments or return values, intercept native or ObjC or Java methods, dump memory or exports, or handle native module load timing for Android and other targets.

Why use Rev Frida on TypingMind?

Because you install it once and use it with any model. Rev Frida is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Rev Frida in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/P4nda0s/reverse-skills/tree/main/skills/rev-frida. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Rev Frida?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Rev Frida?

As many as you like. As long as a model supports skills, you can use Rev Frida with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Rev Frida AI skill free?

It is published on GitHub by P4nda0s. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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