Frida Hooker

Community

ptn1411

frida-hooker

Generate and inject Frida hooks for dynamic instrumentation — license bypass, SSL pinning bypass, function tracing, crypto interception, anti-debug bypass. Supports attach and spawn modes.

Overview

Publisher	ptn1411
Repository	`skill`
Skill name	`frida-hooker`
Stars	275
Forks	133
Bundled files	8
Links	Skill source Repository Homepage

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.
8 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by ptn1411 on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ptn1411/skill/tree/main/frida-hooker
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.

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/ptn1411/skill.git /tmp/skill
mkdir -p .claude/skills
cp -r /tmp/skill/frida-hooker .claude/skills/frida-hooker

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Frida Hooker 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 Frida Hooker 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 Frida Hooker 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.

Frida Hooker

Dynamic instrumentation via Frida — hook functions at runtime to bypass protections, trace execution, intercept crypto operations, and capture license validation logic.

Language rule: All skill instructions use English. Final summary presented to the user must be in Vietnamese.

0. Authorization & Routing

Operates under MASTER_POLICY.md §1-§2.

Sibling skill	When
memory-dumper	Dump memory after hooks capture decrypted data
network-interceptor	Bypass SSL pinning before traffic capture
ida-nuitka-reconstructor	Get function addresses from IDA for targeted hooks
binary-identifier	Identify target framework before choosing hook template

Step 1 — Generate Hooks

From template (common scenarios)

bash
python scripts/generate_hooks.py --template license_bypass --out hooks/bypass.js
python scripts/generate_hooks.py --template ssl_pinning_bypass --out hooks/ssl.js
python scripts/generate_hooks.py --template function_tracer --target-module "app.dll" --out hooks/trace.js
python scripts/generate_hooks.py --template crypto_intercept --out hooks/crypto.js
python scripts/generate_hooks.py --template anti_debug_bypass --out hooks/antidebug.js

From IDA export (targeted hooks)

bash
python scripts/generate_hooks.py --ida-export ida_functions.json --filter "license,validate,check" --out hooks/targeted.js

Custom address hook

bash
python scripts/generate_hooks.py --address 0x140001234 --module "target.exe" --out hooks/custom.js

Step 2 — Inject and Run

Attach to running process

bash
python scripts/run_frida.py --attach "TargetApp.exe" --script hooks/bypass.js --out results/

Spawn with hooks

bash
python scripts/run_frida.py --spawn "C:\path\to\target.exe" --script hooks/bypass.js --out results/

Multiple scripts

bash
python scripts/run_frida.py --attach "TargetApp.exe" --script hooks/ssl.js hooks/trace.js --out results/

Requires: pip install frida-tools

Available Templates

Template	File	Purpose
`license_bypass`	`templates/license_bypass.js`	Hook license check functions, force return true
`ssl_pinning_bypass`	`templates/ssl_pinning_bypass.js`	Bypass SSL cert pinning (Android + Desktop)
`function_tracer`	`templates/function_tracer.js`	Trace function calls with args and return values
`crypto_intercept`	`templates/crypto_intercept.js`	Intercept AES/RSA operations, log keys and plaintext
`anti_debug_bypass`	`templates/anti_debug_bypass.js`	Bypass IsDebuggerPresent, NtQueryInformationProcess, etc.

Final Report (Vietnamese)


🎣 Frida hooking hoàn tất:

  🎯 Target           : <PROCESS_NAME> (PID: <PID>)
  📜 Scripts injected  : <COUNT>
  🪝 Hooks active      : <COUNT>
  📊 Events captured   : <COUNT>
  🔑 Secrets found     : <COUNT>

  💾 Output: results/

Anti-Patterns

❌ Don't	✅ Do
Hook without knowing the target framework	Run binary-identifier first
Use generic hooks on obfuscated code	Get addresses from IDA or runtime enumeration
Ignore anti-Frida checks	Apply anti-debug bypass template first
Hook too many functions at once	Start with targeted hooks, expand gradually
Forget to handle exceptions in hooks	Always wrap hook body in try/catch
Spawn without `--pause` when needed	Use spawn+resume for early hooks

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Frida Hooker AI skill do?

Generate and inject Frida hooks for dynamic instrumentation — license bypass, SSL pinning bypass, function tracing, crypto interception, anti-debug bypass. Supports attach and spawn modes.

Why use Frida Hooker on TypingMind?

Because you install it once and use it with any model. Frida Hooker 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 Frida Hooker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ptn1411/skill/tree/main/frida-hooker. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Frida Hooker?

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 Frida Hooker?

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

Is the Frida Hooker AI skill free?

It is published on GitHub by ptn1411. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Frida Hooker

0. Authorization & Routing

Step 1 — Generate Hooks

From template (common scenarios)

From IDA export (targeted hooks)

Custom address hook

Step 2 — Inject and Run

Attach to running process

Spawn with hooks

Multiple scripts

Available Templates

Final Report (Vietnamese)

Anti-Patterns

Bundled files

Frequently asked questions

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