Fact Checker
CheckedThis "Fact Checker" skill verifies claims against reliable sources, ensuring accuracy and combating misinformation in your responses.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add dangeles/claude --skill fact-checker -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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.
- Commit
- f06426b141
- Scanned
- 1 file, 184 lines
About this skill
What it does
This skill, dangeles-fact-checker, verifies claims and statements against available online sources. It aims to improve the accuracy of AI agent responses by cross-referencing information with external data. The tool can be used to validate factual assertions, identify potential inaccuracies, and provide supporting evidence for claims made in generated text.
When to use it
- Content Creation: Ensure blog posts or articles are factually accurate before publishing.
- Research Summaries: Validate key findings from research papers or reports.
- Automated Reporting: Improve the reliability of data-driven reports and dashboards.
- Question Answering Systems: Enhance the trustworthiness of responses in conversational AI applications.
Key capabilities
- Fact verification against online sources
- Identification of potential inaccuracies
- Provision of supporting evidence for claims
- Cross-referencing information with external data
Example prompts
- "Please fact-check the statement: 'The Eiffel Tower is 330 meters tall.'"
- "Verify this claim and provide sources: 'Global warming is caused solely by human activity.'"
- “Can you check if this is true: ‘Dogs can see in color.’”
Tips & gotchas
This skill relies on publicly available online information. Its accuracy depends on the quality and availability of those sources; it may struggle with obscure or novel claims.