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Essay Fact Checker

Checked
dangeles·vlatest·writing

This tool verifies essay content for factual accuracy, ensuring your writing is reliable and strengthens its credibility.

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 dangeles/claude --skill essay-fact-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

dangeles

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 dangeles/claude at f06426b141.

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

Scanned
1 file, 198 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 verifies factual claims within an essay or written text. It identifies statements that can be checked against external sources and provides supporting evidence or flags potential inaccuracies. The tool aims to improve the reliability and credibility of written work by ensuring assertions are grounded in verifiable facts.

When to use it

  • Academic Writing: Fact-check research papers, essays, or theses before submission.
  • Content Creation: Ensure blog posts, articles, or marketing materials are accurate and trustworthy.
  • Report Generation: Validate data and claims presented in reports for internal or external stakeholders.
  • Draft Review: Quickly identify potential factual errors during the editing process.

Key capabilities

  • Factual claim identification
  • External source verification
  • Evidence provision
  • Inaccuracy flagging

Example prompts

  • "Fact-check the following essay about the history of jazz." (followed by essay text)
  • "Verify the claims made in this paragraph: [paragraph text]"
  • "Can you check if this statement is true: 'The Eiffel Tower was built in 1879'?"

Tips & gotchas

The skill’s accuracy depends on the availability of verifiable information online. Complex or niche topics may yield fewer results, requiring manual verification alongside the skill’s output.