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Paddle Debug

Checked
pfcclab·vlatest·testing

Paddle-debug automatically identifies and suggests fixes for common errors in PaddlePaddle code during testing.

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 pfcclab/paddle-skills --skill paddle-debug -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

pfcclab

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 pfcclab/paddle-skills at 309bb22fdb.

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

Scanned
1 file, 92 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

The paddle-debug skill provides debugging capabilities for Paddle agent workflows. It allows users to inspect and modify the state of a running workflow, facilitating troubleshooting and experimentation. This includes viewing variables, stepping through execution, and altering values during runtime.

When to use it

  • Troubleshooting unexpected behavior: Use when an AI agent is not performing as expected and you need to understand its internal state.
  • Experimenting with different parameters: Quickly test the impact of changes by modifying variables mid-execution.
  • Understanding complex workflows: Step through a workflow's execution to visualize the flow of data and logic.
  • Debugging integration issues: Identify problems when integrating multiple tools or services within an agent’s workflow.

Key capabilities

  • Inspect variable values during runtime.
  • Step through workflow execution.
  • Modify variable values while a workflow is running.

Example prompts

  • "Show me the value of 'user_input' at this point in the workflow."
  • "Step to the next action and pause."
  • "Set the value of 'temperature' to 0.7."

Tips & gotchas

This skill requires a running Paddle agent workflow to be active for debugging purposes. It is intended for development and troubleshooting, not production environments.