Tools Debugging Root Cause
CheckedIdentifies root causes of test failures by analyzing logs, code, and execution traces for faster debugging.
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 tjboudreaux/cc-plugin-engineering-excellence --skill tools-debugging-root-cause -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
tjboudreaux
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 tjboudreaux/cc-plugin-engineering-excellence at 056afb9610.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 056afb9610
- Scanned
- 1 file, 85 lines
About this skill
What it does
This skill helps AI agents systematically identify the root cause of technical issues. It leverages a structured approach to analyze error messages, logs, and code snippets, pinpointing the source of problems and suggesting potential solutions. The tool facilitates efficient debugging by guiding users through a logical troubleshooting process.
When to use it
- Debugging Application Errors: When an application is failing or producing unexpected results, this skill can help determine why.
- Analyzing Log Files: To understand the sequence of events leading up to an error and identify potential culprits within large log files.
- Troubleshooting Infrastructure Issues: To diagnose problems with servers, networks, or other infrastructure components based on error messages and system data.
- Code Review & Prevention: Proactively analyze code for potential failure points before deployment.
Key capabilities
- Error message analysis
- Log file parsing
- Code snippet examination
- Root cause identification
- Solution suggestions
Example prompts
- "Analyze this error message: 'TypeError: Cannot read property 'name' of undefined' and tell me the likely root cause."
- "I have a server log with these entries. Can you identify the pattern that led to the 500 error?"
- "Here’s a code snippet that is failing. Help me debug it by identifying potential issues."
Tips & gotchas
The skill's effectiveness depends on providing clear and complete information about the problem, including relevant logs or code snippets. It may require some context to accurately pinpoint the root cause.