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Ha Error Checking

Listed
dawiddutoit·vlatest·other

This skill analyzes HAI code for common errors and potential issues, boosting development efficiency and reliability.

Repository

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 dawiddutoit/custom-claude --skill ha-error-checking -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

dawiddutoit

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.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: 192.168.68.123.

    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.

    Hosts contacted

    192.168.68.123undeclared

    What it found

    • skills/ha-error-checking/SKILL.md:34contacts 192.168.68.123
      HA_URL = "http://192.168.68.123:8123"
    • skills/ha-error-checking/scripts/check_dashboard.py:14contacts 192.168.68.123
      HA_URL = "http://192.168.68.123:8123"

  • 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 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 dawiddutoit/custom-claude at 17b45a90a6.

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

Commit
17b45a90a6
Manifest
skills/ha-error-checking/SKILL.md
Scanned
4 files, 1,014 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

This skill helps AI agents identify and correct errors in generated text. It focuses on high-accuracy error detection, going beyond simple spelling checks to catch more nuanced mistakes like grammatical inconsistencies or factual inaccuracies. The skill aims to improve the overall quality and reliability of AI agent outputs by proactively addressing potential issues.

When to use it

  • Content Creation: Use when generating articles, blog posts, or marketing copy where accuracy is paramount.
  • Code Generation: Employ for reviewing code snippets produced by an AI assistant to catch syntax errors or logical flaws.
  • Report Writing: Integrate into workflows that require producing detailed reports with minimal factual errors.
  • Email Composition: Utilize when drafting important emails to ensure professional and error-free communication.

Key capabilities

  • High-accuracy error detection
  • Grammatical consistency checks
  • Factual inaccuracy identification

Example prompts

  • "Check this paragraph for any errors: [paste text here]"
  • "Can you review the following code snippet and identify potential issues? [paste code here]"
  • "Please proofread this email draft before I send it. [paste email draft here]"

Tips & gotchas

The skill’s effectiveness relies on providing clear and well-formatted input text for analysis. While it detects a wide range of errors, complex or highly technical content may require additional human review.