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Errors

Listed
yonatangross·vlatest·other·MIT

This skill identifies and flags potential errors in your generated text, improving accuracy and reducing unwanted outputs.

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 yonatangross/orchestkit --skill errors -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

yonatangross

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 yonatangross/skillforge-claude-plugin at 8b46ac9a60.

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

Scanned
0 files
Copies in repo
2 — all of them scanned
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

This skill, authored by yonatangross, provides functionality for identifying and handling errors. It appears to be designed to improve the robustness of AI agent workflows by allowing agents to detect and potentially recover from unexpected issues or failures during task execution. The specific implementation details are not provided in the source content.

When to use it

  • When an AI agent is performing complex tasks that have a high potential for failure (e.g., interacting with external APIs).
  • During development and testing of AI agents, to proactively identify and address error conditions.
  • To build more reliable AI workflows by implementing error handling logic within the agent's processes.
  • When debugging an AI agent’s behavior and needing to understand why a task failed.

Key capabilities

  • Error detection
  • Error handling (implied)

Example prompts

  • "Check for errors in this code snippet."
  • "What are the possible error conditions when calling this API?"
  • "How can I handle this specific error message?"

Tips & gotchas

The source content does not provide any specific prerequisites or limitations. Further documentation would be needed to understand how to effectively integrate and utilize this skill within an AI agent environment.