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Protocol Reverse Engineering

Checked
wshobson·vlatest·security·MIT

Analyzes network protocols to understand their structure and behavior, aiding in vulnerability research and secure communication analysis.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add wshobson/agents --skill protocol-reverse-engineering -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

wshobson

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned wshobson/agents at 46891e7e60.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 481 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The protocol-reverse-engineering skill enables AI agents to analyze and understand the structure, behavior, and communication patterns of unknown or proprietary protocols. This includes dissecting data packets, identifying message formats, and mapping out how systems interact over a network.

When to use it

  • To uncover hidden communication methods in closed-source software or hardware devices.
  • For security research, such as analyzing vulnerabilities in networked systems.
  • When working with legacy systems where documentation is incomplete or unavailable.
  • To develop custom integrations with third-party services that lack clear API documentation.

Key capabilities

  • Packet analysis and dissection
  • Identification of protocol message formats
  • Mapping system interactions over a network
  • Extraction of hidden communication logic

Example prompts

  • "Analyze the packet structure of this unknown network traffic."
  • "Reverse-engineer how this device communicates with its server."
  • "Identify the command set used by this proprietary protocol."

Tips & gotchas

  • Ensure you have proper authorization before reverse-engineering protocols, especially in production environments.
  • This skill works best when provided with raw packet data or network traffic logs for analysis.