Skip to content
TrustedSkillsbeta
Back to all skills

Error Detector

Listed
neversight·vlatest·writing

This "Error Detector" identifies inconsistencies and potential issues within provided text, boosting accuracy 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 neversight/learn-skills.dev --skill error-detector -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

neversight

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 neversight/skills_feed at 58220bbac4.

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

Commit
58220bbac4
Manifest
data/skills-md/404kidwiz/claude-supercode-skills/error-detector/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 neversight-error-detector skill identifies and flags potential errors in text. It can detect various types of mistakes, including grammatical errors, factual inaccuracies, and logical inconsistencies. This helps improve the overall quality and reliability of generated content by pinpointing areas needing review or correction.

When to use it

  • Content Generation Review: Use this skill when reviewing AI-generated articles, reports, or creative writing pieces to catch subtle errors that might be missed during a quick scan.
  • Code Analysis: Employ the skill to identify potential bugs or logical flaws in code snippets generated by an AI coding assistant.
  • Data Extraction Validation: Validate extracted data from documents or websites to ensure accuracy and consistency before further processing.
  • Drafting Assistance: Integrate it into a drafting workflow to proactively catch errors as content is being created, rather than solely at the review stage.

Key capabilities

  • Error identification
  • Flagging potential inaccuracies
  • Detection of grammatical errors
  • Identification of logical inconsistencies
  • Factual inaccuracy detection

Example prompts

  • "Analyze this text for any errors: [paste text here]"
  • "Can you identify any factual inaccuracies in the following paragraph? [paste paragraph here]"
  • "Review this code and flag potential bugs or logical flaws. [paste code here]"

Tips & gotchas

The skill's accuracy depends on the complexity of the input text; very nuanced or highly technical content may require additional human review. While it flags potential issues, always verify its suggestions with domain expertise.