Agent skill · Documentation

fact-checker

Verifies factual claims in documents using web search and official sources, then proposes corrections with user confirmation. Use when the user asks to fact-check, verify information, validate claims, check accuracy, or update outdated information in documents. Supports AI model specs, technical documentation, statistics, and general factual statements.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill fact-checker-nicepkg-ai-workflow-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/analysis/fact-checker-nicepkg-ai-workflow-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Fact Checker Verify factual claims in documents and propose corrections backed by authoritative sources. ## When to use Trigger when users request: - "Fact-check this document" - "Verify these AI model specifications" - "Check if this information is still accurate" - "Update outdated data in this file" - "Validate the claims in this section" ## Workflow Copy this checklist to track progress: ``` Fact-checking Progress: - [ ] Step 1: Identify factual claims - [ ] Step 2: Search authoritative sources - [ ] Step 3: Compare claims against sources - [ ] Step 4: Generate correction report - [ ] Step 5: Apply corrections with user approval ``` ### Step 1: Identify factual claims Scan the document for verifiable statements: **Target claim types:** - Technical specifications (context windows, pricing, features) - Version numbers and release dates - Statistical data and metrics - API capabilities and limitations - Benchmark scores and performance data **Skip subjective content:** - Opinions and recommendations - Explanatory prose - Tutorial instructions - Architectural discussions ### Step 2: Search authoritative sources For each claim, search official sources: **AI models:** - Official an

What's inside
Steps it walks through
  1. When to use
  2. Workflow
  3. Step 1: Identify factual claims
  4. Step 2: Search authoritative sources
  5. Step 3: Compare claims against sources
  6. Step 4: Generate correction report
  7. Step 5: Apply corrections with user approval
  8. Search best practices
  9. Query construction
  10. Source evaluation
  11. Handling ambiguity
  12. Special considerations
  13. Time-sensitive information
  14. Numerical precision
Ships with 1 file
  • metadata.json
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About this skill
What does the fact-checker skill do?

Verifies factual claims in documents using web search and official sources, then proposes corrections with user confirmation. Use when the user asks to fact-check, verify information, validate claims, check accuracy, or update outdated information in documents. Supports AI model specs, technical documentation, statistics, and general factual statements.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill fact-checker-nicepkg-ai-workflow-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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