Network Interceptor

Community

ptn1411

network-interceptor

Capture, analyze, and replay network traffic between app and license/API servers. Uses mitmproxy for capture and built-in analysis for endpoint discovery, OAuth detection, and token extraction.

Overview

Publisher	ptn1411
Repository	`skill`
Skill name	`network-interceptor`
Stars	275
Forks	133
Bundled files	3
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.
3 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 Network Interceptor 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/network-interceptor
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/network-interceptor .claude/skills/network-interceptor

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

Use it in TypingMind

Enable Network Interceptor 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 Network Interceptor 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 Network Interceptor 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.

Network Interceptor

Capture and analyze app-server communication to discover license protocols, API endpoints, and authentication flows.

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
electron-app-analyzer	JS endpoint analysis from source
writerpro-pentest	Keygen from discovered API patterns
frida-hooker	Bypass SSL pinning before capture
memory-dumper	Extract tokens from process memory

Step 1 — Capture Traffic

bash
python scripts/capture_traffic.py --port 8080 --duration 120 --out captured.har

powershell
python scripts\capture_traffic.py --port 8080 --duration 120 --out captured.har

Requires: pip install mitmproxy

Step 2 — Analyze Traffic

bash
python scripts/analyze_traffic.py captured.har --out analysis/

Detects: API endpoints, OAuth flows, Bearer tokens, license validation calls, HWID submissions.

Step 3 — Replay

bash
python scripts/analyze_traffic.py captured.har --replay 5 --out replay_script.py

Generates standalone Python requests script to replay any captured request.

Final Report (Vietnamese)


🌐 Phân tích network hoàn tất:

  📡 Requests captured : <COUNT>
  🔗 API endpoints     : <COUNT> unique
  🔑 Tokens found      : <COUNT>
  🔐 OAuth flow        : <DETECTED/NONE>
  📋 License calls     : <COUNT>

  💾 Output: analysis/

Anti-Patterns

❌ Don't	✅ Do
Capture without SSL intercept cert	Install mitmproxy CA cert first
Ignore non-HTTP protocols	Some license servers use raw TCP/gRPC
Miss OAuth flows	Look for /authorize, /token, /callback patterns
Skip response bodies	License responses contain feature flags and expiry

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 Network Interceptor AI skill do?

Capture, analyze, and replay network traffic between app and license/API servers. Uses mitmproxy for capture and built-in analysis for endpoint discovery, OAuth detection, and token extraction.

Why use Network Interceptor on TypingMind?

Because you install it once and use it with any model. Network Interceptor 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 Network Interceptor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ptn1411/skill/tree/main/network-interceptor. 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 Network Interceptor?

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 Network Interceptor?

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

Is the Network Interceptor 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

Network Interceptor

0. Authorization & Routing

Step 1 — Capture Traffic

Step 2 — Analyze Traffic

Step 3 — Replay

Final Report (Vietnamese)

Anti-Patterns

Bundled files

Frequently asked questions

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