Python Debugger
CheckedTroubleshoot Python code errors and logic flaws within your backend systems using interactive debugging sessions.
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 majesticlabs-dev/majestic-marketplace --skill python-debugger -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
majesticlabs-dev
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 majesticlabs-dev/majestic-marketplace at 04e97708c2.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 04e97708c2
- Scanned
- 4 files, 230 lines
About this skill
What it does
The python-debugger skill allows AI agents to step through Python code, inspect variables, and identify the root cause of errors. It provides debugging capabilities such as setting breakpoints, examining the call stack, and evaluating expressions within the context of a running program. This is crucial for diagnosing and resolving issues in complex Python applications.
When to use it
- Troubleshooting failing scripts: Use when an AI agent's Python script produces unexpected results or errors.
- Understanding unfamiliar code: Employ this skill to understand the flow of execution within a piece of existing Python code.
- Debugging automated tasks: Help agents diagnose and fix issues in automated workflows built with Python.
- Analyzing complex logic: When an agent is struggling to achieve a goal due to intricate Python logic, use debugging to pinpoint bottlenecks or errors.
Key capabilities
- Breakpoint setting
- Variable inspection
- Call stack examination
- Expression evaluation
Example prompts
- "Debug this Python script and tell me why it's crashing."
- "Set a breakpoint at line 25 of the
process_data.pyfile and show me the value ofuser_id." - “Step through this code execution and explain what each line does.”
Tips & gotchas
The skill requires access to the Python environment where the script is running. Ensure that the agent has appropriate permissions and a working Python installation for effective debugging.