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Skills/agricidaniel/claude-blog/blog-factcheck
blog-factcheck logo

blog-factcheck

agricidaniel/claude-blog
709 installs1K stars
Run it on Hostinger →up to 70% off + an extra 10% with code ZACAARON10Free API →

Installation

npx skills add https://github.com/agricidaniel/claude-blog --skill blog-factcheck

Summary

>

SKILL.md

Blog Fact-Check

Verify statistics, claims, and source attributions in blog posts. Pure Claude pipeline with no external NLP dependencies.

Workflow

Step 1: Read the Blog Post

Read the target file and identify all sections containing data claims.

Step 2: Extract Statistical Claims

Scan the full text for every claim that includes a number, percentage, dollar amount, or named source. Build a claims list with these fields:

FieldDescription
claim_textThe exact sentence or phrase containing the statistic
valueThe numeric value (e.g., "42%", "$1.2M", "3x")
attributionNamed source if present (e.g., "HubSpot", "Gartner 2025")
urlCited URL if present (from markdown link or parenthetical)
locationHeading or line number where the claim appears

Step 3: Verify Cited Claims

For each claim that includes a URL:

  1. Fetch the source page via WebFetch
  2. Search the returned content for the specific numeric value
  3. If exact value found, check surrounding context matches the claim topic
  4. Assign a confidence score (see Verification Scoring below)

Process claims sequentially to avoid rate-limiting source sites.

Step 4: Flag Uncited Claims

For claims without a URL:

  • Mark status as UNVERIFIED
  • Suggest a search query the user can run to find a source
  • If the attribution names a specific organization, suggest their domain

Step 5: Generate Verification Report

Output the full results table, summary statistics, and recommended actions.

Claim Extraction Patterns

Identify claims matching these structures:

Fully cited (highest priority):

  • [Number]% [claim] ([Source], [Year]) - parenthetical citation
  • [claim] [Number]% ... [markdown link to source] - inline link
  • According to [Source], [Number]... - attribution lead

Uncited statistics (flag for sourcing):

  • [Number]% of [noun phrase] - standalone percentage
  • [Number]x more/less/higher/lower - multiplier claims
  • $[Number] [claim] - dollar figures without attribution

Weak signals (check context before extracting):

  • studies show, research indicates, data suggests + nearby number
  • survey found, report reveals, analysis shows + nearby number
  • Round numbers in isolation (e.g., "millions of users") - skip unless specific

Verification Scoring

ScoreStatusCriteria
1.0VERIFIEDExact number found on cited page in matching context
0.7-0.9PARAPHRASESimilar data found but with different wording, rounding, or timeframe
0.3-0.6WEAKSource page exists and covers the topic but the specific statistic is not visible
0.0NOT FOUNDCited page does not contain the claimed data anywhere
N/AUNVERIFIEDNo source URL provided for the claim

Scoring guidance:

  • A claim of "43%" when the source says "nearly half" scores 0.8
  • A claim of "2024" data when the source only has "2023" scores 0.7
  • A claim citing a homepage when the stat lives on a subpage scores 0.3
  • A 404 or unreachable URL scores 0.0

Output Format

Verification Report: [Post Title]

File: [path] Claims found: [total] Verified: [count] | Paraphrase: [count] | Weak: [count] | Not Found: [count] | Unverified: [count]

#ClaimSource URLScoreStatusNotes
1"73% of marketers..."https://example.com/report1.0VERIFIEDExact match found in section 3
2"5x ROI improvement"https://example.com/study0.8PARAPHRASESource says "nearly 5x"
3"60% prefer video"(none)N/AUNVERIFIEDTry: "video preference statistics 2025"

Recommended Actions

  • [List claims that need source URLs]
  • [List claims with weak or not-found scores that need replacement sources]
  • [List claims where the source data may be outdated]

Integration

This skill can be called from blog-analyze as an optional deep-verification step. When invoked from the analyzer, only claims scoring below 0.7 are flagged in the analysis report.

Standalone usage: /blog factcheck path/to/post.md

Cross-reference

claude-blog inherits FLOW's evidence triple (year anchor in prose, inline citation with publisher and title, URL with retrieval date). See skills/blog-flow/references/flow-framework.md and /blog flow for the full framework.

Limitations

  • Paywalled content: WebFetch cannot access content behind login walls. These

score as WEAK (0.5) with a note about paywall detection.

  • Dynamic pages: JavaScript-rendered content may not be available via WebFetch.

If the page returns minimal content, note this in the status.

  • PDF sources: WebFetch may not extract PDF text reliably. Flag PDF URLs for

manual verification.

  • Archived pages: If a URL returns 404, suggest checking web.archive.org.
  • Rate limits: Process no more than 10 URLs per run to avoid overwhelming

source servers. If a post has more than 10 cited URLs, verify the first 10 and list the remainder as SKIPPED.

Score

0–100
57/ 100

Grade

C

Popularity17/30

709 installs — growing adoption. Source repo has 1,331 GitHub stars.

Completeness19/30

Documented: full SKILL.md body, one-line install. Missing: description, category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Blog Factcheck skill score badge previewScore badge

Markdown

[![Blog Factcheck skill](https://www.claudemarket.ai/skills/agricidaniel/claude-blog/blog-factcheck/badges/score.svg)](https://www.claudemarket.ai/skills/agricidaniel/claude-blog/blog-factcheck)

HTML

<a href="https://www.claudemarket.ai/skills/agricidaniel/claude-blog/blog-factcheck"><img src="https://www.claudemarket.ai/skills/agricidaniel/claude-blog/blog-factcheck/badges/score.svg" alt="Blog Factcheck skill"/></a>

Blog Factcheck FAQ

How do I install the Blog Factcheck skill?

Run “npx skills add https://github.com/agricidaniel/claude-blog --skill blog-factcheck” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Blog Factcheck skill do?

> The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Blog Factcheck skill free?

Yes. Blog Factcheck is a free, open-source skill published from agricidaniel/claude-blog. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Blog Factcheck work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Blog Factcheck works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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