Skip to content
TrustedSkillsbeta
Back to all skills

Line Execution Checker

Checked
gadievron·vlatest·data

This tool verifies if each line in a generated code block executes correctly, ensuring your AI's output functions as intended and avoids errors.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Line Execution Checker, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add gadievron/raptor --skill "Line Execution Checker" -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

gadievron

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 gadievron/raptor at 990d9f3cd7.

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

Commit
990d9f3cd7
Manifest
.claude/skills/crash-analysis/line-execution-checker/SKILL.md
Scanned
1 file, 67 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 Line Execution Checker skill allows an AI agent to verify the correctness of code execution line-by-line. It can be used to debug complex scripts, ensure accuracy in calculations, and validate logic within a program. This skill provides a detailed trace of each executed line, enabling precise identification of errors or unexpected behavior.

When to use it

  • Debugging intricate Python scripts: Pinpoint the exact line causing an error when dealing with complex algorithms.
  • Validating financial calculations: Ensure accuracy in automated trading bots or accounting systems by verifying each step.
  • Testing data processing pipelines: Confirm that transformations are applied correctly at each stage of a data pipeline.
  • Auditing AI agent actions: Review the reasoning and execution steps taken by an AI agent to ensure transparency and accountability.

Key capabilities

  • Line-by-line code tracing
  • Detailed error reporting
  • Support for Python scripts
  • Debugging complex algorithms

Example prompts

  • "Debug this Python script: [script content] and show me the output of each line."
  • "Trace the execution of this function: [function definition] and report any errors encountered."
  • “Verify that this calculation is correct, showing me each step.”

Tips & gotchas

The skill currently only supports Python scripts. Ensure your script is properly formatted and includes necessary imports for accurate tracing.