Network Debugging
CheckedDiagnose and resolve network connectivity issues by analyzing logs, pings, and traceroutes across connected devices.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add aj-geddes/useful-ai-prompts --skill network-debugging -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
aj-geddes
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.
Automated safety checks
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 aj-geddes/useful-ai-prompts at 3f5182cfd7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3f5182cfd7
- Scanned
- 7 files, 381 lines
About this skill
network-debugging
What it does
This skill enables AI agents to diagnose connectivity issues, analyze HTTP traffic, and troubleshoot server responses. It automates the process of identifying root causes for network failures by interpreting logs and request data.
When to use it
- Investigating why a specific API endpoint returns 500 or 404 errors in production.
- Analyzing packet loss or latency spikes during load testing phases.
- Verifying that DNS resolution is functioning correctly across different regions.
- Debugging SSL/TLS handshake failures between client applications and backend services.
Key capabilities
- Traffic Analysis: Inspects incoming and outgoing network packets to identify bottlenecks.
- Log Interpretation: Parses server logs to extract error codes and stack traces related to connectivity.
- Protocol Validation: Checks adherence to HTTP, TCP, and DNS standards during transactions.
- Root Cause Identification: Correlates timing data with specific network events to pinpoint failure origins.
Example prompts
- "Analyze these HTTP response logs and explain why the payment gateway is timing out."
- "Simulate a network trace for a failed login request and identify the blocking firewall rule."
- "Debug this DNS resolution error by checking the TTL values and server responses."
Tips & gotchas
Ensure you have access to raw log files or packet captures before running diagnostics, as the skill relies on concrete data rather than guesses. Limit analysis to environments where network traffic is permitted for inspection to avoid security violations.