Traffic Capture

CommunityPopular

samugit83

traffic-capture

Working on the HTTP capture proxy and its replay/fuzz path: the egress guard that stops the proxy becoming an SSRF pivot, why it checks the resolved IP, and keeping capture off the scan's critical path. Trigger: editing scanners/capture_proxy/ (capture_addon.py, egress.py, ingest_worker.py); adding a forward/replay/fuzz path; changing EgressPolicy or the internal denylist; wiring an agent tool that replays captured traffic.

Overview

Publisher	samugit83
Repository	`redamon`
Skill name	`traffic-capture`
Stars	2.5K
Forks	504
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 samugit83 on GitHub. Read the source before you install it.

Installation

Install the Traffic Capture 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.
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/samugit83/redamon.git /tmp/redamon
mkdir -p .claude/skills
cp -r /tmp/redamon/skills/traffic-capture .claude/skills/traffic-capture

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

Use it in TypingMind

Enable Traffic Capture 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 Traffic Capture 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 Traffic Capture 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.

When to Use

Changing how the proxy forwards, captures, ingests, or replays traffic.

The one-line "route every egress through the guard" rule is in the capture_proxy AGENTS.md CRITICAL RULES; this skill is the mechanism.

Critical Rules

NEVER match the internal denylist on the hostname alone. The guard denies on the resolved IP (RFC1918 and friends), because a hostname that resolves to an internal address (or re-resolves after a check) is the SSRF/DNS-rebinding case. See scanners/capture_proxy/egress.py (the block conditions operate on the resolved IP).
NEVER build a replay/fuzz target from unvalidated LLM output and send it straight out. The replay path is a new egress path; it must pass the same EgressPolicy guard as captured traffic, or the agent can be steered into an internal pivot. Args must not reach the wire un-guarded.
NEVER remove a block condition to "make replay work". Each condition is individually toggleable via EgressPolicy (surfaced in settings); loosen it there, per-condition, not by deleting the check.
ALWAYS keep capture and ingest off the scan's critical path. Capture writes an append-only spool; a separate worker tails it into Postgres (scanners/capture_proxy/ingest_worker.py). That decoupling is deliberate - capture must never block or slow the scan it observes.

The capture pipeline

Stage	File	Note
intercept	capture_addon.py	mitmproxy addon; request/response hooks
egress guard	egress.py	resolved-IP denylist + `EgressPolicy` toggles; the SSRF backstop
ingest	ingest_worker.py	tails the spool -> Postgres; off the scan path

Commands

bash
docker compose --profile tools build capture-proxy    # image rebuild (Dockerfile change)
./redamon.sh test unit                                # capture_proxy section

Resources

docs/readmes/README.TRAFFIC.md - capture/replay/fuzz architecture and settings
Related: capture_proxy AGENTS.md CRITICAL RULES (route egress through the guard)

Frequently asked questions

What does the Traffic Capture AI skill do?

Why use Traffic Capture on TypingMind?

Because you install it once and use it with any model. Traffic Capture 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 Traffic Capture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/samugit83/redamon/tree/master/skills/traffic-capture. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Traffic Capture?

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 Traffic Capture?

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

Is the Traffic Capture AI skill free?

Yes. It is published on GitHub by samugit83 under the MIT license. 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

When to Use

Critical Rules

The capture pipeline

Commands

Resources

Frequently asked questions

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