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Fact Check

Checked
leonardomso·vlatest·other·MIT

Verifies claims by cross-referencing multiple sources, ensuring accuracy and combating misinformation for reliable information.

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 leonardomso/33-js-concepts --skill fact-check -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

leonardomso

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 leonardomso/33-js-concepts at 16d0d95c02.

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

Commit
16d0d95c02
Manifest
.claude/skills/fact-check/SKILL.md
Scanned
2 files, 1,264 lines
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

The fact-check skill enables AI agents to verify the accuracy of claims, statements, or information by cross-referencing them with reliable sources. It can identify potential misinformation, confirm factual details, and provide evidence-based responses.

When to use it

  • Before sharing news articles or social media posts to ensure they are accurate.
  • During research to validate data from unknown or unverified sources.
  • In academic or professional settings to support claims with credible references.
  • When reviewing content for factually incorrect statements that could lead to misinformation.

Key capabilities

  • Cross-referencing information against trusted databases and sources.
  • Identifying potential biases or inaccuracies in provided statements.
  • Providing citations or links to verified sources when possible.

Example prompts

  • "Is the claim 'Vitamin C can cure the common cold' accurate?"
  • "Verify if the statement 'The moon is made of green cheese' is true."
  • "Check whether the article about climate change from this website is reliable."

Tips & gotchas

  • Ensure that the AI agent has access to up-to-date and credible sources for accurate fact-checking.
  • Be aware that some claims may be context-dependent, so additional clarification might be needed for full accuracy.