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Debugging Protocol

Checked
jwilger·vlatest·testing·CC0-1.0

Automatically generates detailed debugging steps and logs based on error messages to aid in troubleshooting.

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 jwilger/agent-skills --skill debugging-protocol -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

jwilger

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 jwilger/agent-skills at e2f5e19add.

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

Scanned
1 file, 190 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

This skill enables AI agents to diagnose and resolve issues within network communication protocols. It allows the agent to analyze packet flows, identify handshake failures, and interpret error codes across various transport layers.

When to use it

  • Investigating intermittent connection drops in a distributed microservices architecture.
  • Troubleshooting HTTP 502 or 504 gateway timeout errors in production logs.
  • Validating that custom TCP application-layer protocols are negotiating correctly.
  • Debugging latency spikes caused by inefficient protocol handshakes or retransmissions.

Key capabilities

  • Analyzes raw packet captures and network trace logs.
  • Identifies specific protocol violations or malformed message structures.
  • Correlates network errors with application-level behavior.
  • Suggests configuration changes to fix handshake failures.

Example prompts

  • "Analyze this Wireshark capture of a failed TLS 1.3 handshake and explain the root cause."
  • "Why is my gRPC service returning UNAVAILABLE status? Check the underlying network protocol logs."
  • "Debug why MQTT messages are being dropped between the broker and the IoT device."

Tips & gotchas

Ensure you have access to raw packet captures or detailed server logs before running this skill, as it cannot infer issues from high-level application summaries alone. This skill is most effective when combined with other testing tools that provide context on application state.