04 Fact Check logo

04 Fact Check

Organization
ai-driven-dev
04-fact-check

Verify factual claims in a text against authoritative sources and rewrite it with footnote citations, hedging the unconfirmed. Use to fact-check, verify a claim, or cite sources on request. Not for judging code or clarifying requirements.

Overview

Publisherai-driven-dev
Repositoryframework
Skill name04-fact-check
Stars
515
Forks
54
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ai-driven-dev on GitHub. Read the source before you install it.

Installation

Install the 04 Fact Check AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-refine/skills/04-fact-check
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ai-driven-dev/framework.git /tmp/framework
mkdir -p .claude/skills
cp -r /tmp/framework/plugins/aidd-refine/skills/04-fact-check .claude/skills/04-fact-check
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 04 Fact Check in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads 04 Fact Check on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so 04 Fact Check is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Fact-check

Verifies the factual claims inside a target text and rewrites it grounded in evidence. The skill extracts each verifiable claim, runs a cheapest-first verification cascade, and emits a rewritten answer where every confirmed claim carries a footnote citation and every unconfirmed claim is explicitly hedged. When sources disagree, both are reported rather than one being silently chosen.

Actions

#ActionRoleInput
01identify-claimsExtract verifiable factual claims from the text, classify each, drop opiniontarget text
02verifyRun the verification cascade per claim, produce a verdict and sourcesclaim list from 01
03reportRewrite the text with footnote citations, hedge unverified, surface conflictsverdict list from 02

Run 01 → 02 → 03; pass each ## Test before the next. Before running an action, read its file in actions/, not only the table or assets.

Transversal rules

  • Never alter the meaning of a claim while verifying it: verify what was stated, not a charitable reinterpretation.
  • The verification cascade is cheapest-first and short-circuits: stop at the first tier that resolves a claim. See references/verification-cascade.md.
  • A web lookup is the last resort, never the first. Reach it only when project memory and codebase inspection both fail to resolve a claim.
  • Claim categories come from the locked set in references/claim-categories.md. Opinion, preference, and trivially-known statements are not claims and are skipped.
  • When two sources disagree, report both with their origin, never silently pick one.
  • An unverified claim is never deleted and never asserted as fact: it is kept and marked (unverified - no source found).
  • Caching a verified fact is opt-in: propose it with a recommendation, never cache silently. The skill persists nothing; the mechanics live in action 03.
  • The final report is reader-facing prose: the corrected text, ## Sources, and ## Unverified claims, nothing else. Internal mechanics never appear in the output: no cascade or tier trace (Cascade:, tier 1/2/3, miss, resolved), no category labels, no raw verdict words. State conclusions, not the process. Action 03 holds the exhaustive forbidden list.
  • The report is rendered in plain prose and is never restyled by an active output mode. The skill's output format is fixed by action 03 alone.

References

  • references/claim-categories.md: locked taxonomy of verifiable claim categories with definition and example.
  • references/verification-cascade.md: the three-tier cascade, short-circuit rule, web-cost guardrail.

Assets

  • assets/report-template.md: rewritten-answer skeleton with the ## Sources footnote block.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the 04 Fact Check AI skill do?

Verify factual claims in a text against authoritative sources and rewrite it with footnote citations, hedging the unconfirmed. Use to fact-check, verify a claim, or cite sources on request. Not for judging code or clarifying requirements.

Why use 04 Fact Check on TypingMind?

Because you install it once and use it with any model. 04 Fact Check is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install 04 Fact Check in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-refine/skills/04-fact-check. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use 04 Fact Check?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with 04 Fact Check?

As many as you like. As long as a model supports skills, you can use 04 Fact Check with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 04 Fact Check AI skill free?

Yes. It is published on GitHub by ai-driven-dev under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇