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Fact Check Workflow

Checked
jamditis·vlatest·other·MIT

Automates fact-checking workflows by sourcing evidence, assessing claims against it, and generating reports with confidence scores.

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 jamditis/claude-skills-journalism --skill fact-check-workflow -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

jamditis

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 jamditis/claude-skills-journalism at 8a047d85f3.

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

Commit
8a047d85f3
Manifest
journalism-core/skills/fact-check-workflow/SKILL.md
Scanned
2 files, 410 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 automates fact-checking workflows, providing structure for claim verification, evidence documentation, and rating decisions. It guides users through a systematic process to assess factual assertions, statistics, dates, quotes, and causal claims against gathered evidence. The tool facilitates the creation of reports with confidence scores based on the strength and reliability of supporting information.

When to use it

  • Pre-publication fact-checking of articles
  • Creating dedicated fact-check stories (rating claims)
  • Verifying source statements during reporting
  • Building fact-checking protocols for a newsroom
  • Training staff on verification standards

Key capabilities

  • Claim Extraction: Identifies and logs factual assertions, statistics, dates, quotes, and causal claims. It distinguishes between verifiable facts and opinions (e.g., predictions or matters of taste).
  • Research Guidance: Prioritizes claim verification based on importance to the story and ease of checking. Provides guidance on identifying primary sources for different claim types (statistics, quotes, historical events, scientific findings, legal documents, financial data).
  • Evidence Documentation: Offers templates for documenting research, including primary and secondary source evaluations, and identifies gaps in evidence.

Example prompts

  • "Analyze this statement: 'The unemployment rate rose to 6% last quarter.'"
  • "Create a claim log entry for the following quote: '[Quote from source]'."
  • "What are reliable sources for verifying statistics about [topic]?"

Tips & gotchas

  • Focus on verifiable factual assertions, not opinions or predictions.
  • Prioritize high-priority claims first, as they are central to the story's thesis and have significant consequences if incorrect.
  • Always attempt to find primary sources before relying on secondary sources for verification.