Fact Checker
CheckedVerifies claims by cross-referencing sources, ensuring accuracy and combating misinformation for reliable information.
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 daymade/claude-code-skills --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
daymade
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 daymade/claude-code-skills at 1327636852.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 1327636852
- Manifest
- fact-checker/SKILL.md
- Scanned
- 2 files, 462 lines
About this skill
The Fact Checker skill enables AI agents to verify information, cross-reference data sources, and identify inconsistencies within provided text or datasets. It acts as a validation layer, ensuring that generated answers align with established facts before being presented to the user.
When to use it
- Before finalizing reports that rely on external statistics or historical events.
- When an AI agent generates content based on potentially hallucinated or outdated training data.
- To validate claims made in customer support tickets against internal documentation.
- During the research phase of coding tasks to ensure referenced libraries or APIs are current.
Key capabilities
- Cross-references multiple data points to confirm accuracy.
- Identifies logical inconsistencies or contradictions within a text.
- Flags unverified claims that lack supporting evidence.
- Provides structured feedback on the reliability of source material.
Example prompts
- "Fact-check this summary of the 2023 climate report against the original PDF."
- "Verify if the API endpoints listed in this code snippet are still active and documented."
- "Identify any factual errors or hallucinations in the following marketing email draft."
Tips & gotchas
Ensure you provide the AI agent with access to the specific source documents or datasets you want it to verify against, as it cannot browse the live web without explicit tooling. This skill is most effective when used iteratively; run a fact-check pass after the initial generation of complex content.