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Debug

Listed
testany-io·vlatest·testing·MIT

Automates debugging of web applications via TestAny.io's API, identifying and reporting errors for faster resolution.

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 testany-debug, 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 testany-io/testany-agent-skills --skill testany-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

testany-io

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 testany-io/testany-agent-skills at f9b3e6fc89.

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

Commit
f9b3e6fc89
Manifest
plugins/testany-bot/skills/testany-debug/SKILL.md
Scanned
0 files
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 testany-io-debug skill provides debugging capabilities to AI agents. It allows users to inspect and modify agent state during execution, facilitating troubleshooting and understanding of complex workflows. This skill is particularly useful for identifying the root cause of unexpected behavior or validating assumptions about how an agent operates.

When to use it

  • Troubleshooting failed tasks: If an agent consistently fails a specific task, use this skill to step through its process and identify where things go wrong.
  • Understanding complex logic: When dealing with intricate workflows, debug mode can help visualize the flow of data and decisions made by the agent.
  • Validating assumptions: Confirm that the agent is behaving as expected in specific scenarios by inspecting internal state variables.
  • Developing new skills: Use debugging to understand how existing skills work or build your own custom skills.

Key capabilities

  • Inspect agent state during execution
  • Modify agent state for testing purposes
  • Step through workflows to identify bottlenecks and errors

Example prompts

  • "Debug the current task and show me the value of 'user_input'."
  • "Pause the agent at the next decision point."
  • "Set the variable 'temperature' to 0.5 and continue execution."

Tips & gotchas

This skill requires a good understanding of the agent’s internal workings. Incorrectly modifying state can lead to unpredictable behavior, so use with caution.