Debug
CheckedIdentifies and suggests fixes for common coding errors in Python code using detailed analysis and best practices.
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 mcouthon/agents --skill debug -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
mcouthon
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 mcouthon/agents at f3cad2d13f.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f3cad2d13f
- Scanned
- 1 file, 175 lines
About this skill
What it does
This skill allows an AI agent to step through code execution, inspect variables at different points, and identify the root cause of errors. It provides debugging capabilities similar to a traditional debugger, enabling agents to understand and correct their own logic or that of other tools they are using. The skill facilitates pinpointing issues within complex workflows and improving overall agent reliability.
When to use it
- When an AI agent is producing unexpected results or failing to complete tasks correctly.
- To diagnose errors occurring when integrating with external APIs or services.
- For understanding the internal workings of a tool or skill used by the agent.
- During development and testing phases to identify and fix bugs in agent logic.
Key capabilities
- Step-by-step code execution
- Variable inspection at runtime
- Error identification and root cause analysis
- Debugging integration with other tools
Example prompts
- "Debug the following Python script, paying close attention to the
calculate_averagefunction." - "Trace the execution of this workflow and show me the value of
user_inputafter each step." - "I'm getting an error when calling the external API. Can you debug the API call?"
Tips & gotchas
The agent must have access to the code being executed for debugging to be effective. Complex or obfuscated code may be more difficult to debug, even with this skill.