fact-check

fact-check is a skill for Claude Code from n24q02m/wet-mcp. It costs 18 tokens per session (783 once invoked), scanned A, original, Apache-2.0.

A fact-checking workflow that tests a claim by searching for both evidence that supports it and evidence that challenges it.

In plain words
What is it for?
Use it to check scientific, technical, historical, statistical, or current-event claims before relying on them.
Why use it?
It reduces the risk of accepting a claim simply because the first search results appear to confirm it.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the wet-mcp plugin — 5 skills, 1 MCP server shipped together

Good fit Use it to check scientific, technical, historical, statistical, or current-event claims before relying on them.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/n24q02m/wet-mcp/fact-check
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add n24q02m/wet-mcp --skill fact-check
Clone the repo
git clone --depth 1 https://github.com/n24q02m/wet-mcp

Made for: Claude Code.

Or install wet-mcp, the plugin that ships this one along with the rest of its 5 skills, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for fact-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/n24q02m/wet-mcp/fact-check/github.svg)](https://agentmods.dev/skills/n24q02m/wet-mcp/fact-check)
Your own site
<a href="https://agentmods.dev/skills/n24q02m/wet-mcp/fact-check"><img src="https://agentmods.dev/badge/skills/n24q02m/wet-mcp/fact-check/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for fact-check

Your own site · 80×15
<a href="https://agentmods.dev/skills/n24q02m/wet-mcp/fact-check"><img src="https://agentmods.dev/badge/skills/n24q02m/wet-mcp/fact-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 783 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00018 $0.00783
Opus 5 $0.00009 $0.00392
Sonnet 5 $0.00004 $0.00157
Haiku 4.5 $0.00002 $0.00078

Measured 11d ago against content hash 4ff0af3752ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

fact-check scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/fact-check/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fact Check

Verify a claim by actively searching for BOTH supporting and contradicting evidence. Counteracts LLM confirmation bias by enforcing adversarial search.

Steps

  1. Decompose the claim into verifiable sub-claims:

    • Separate factual assertions from opinions
    • Identify the core falsifiable statement
    • Note the domain: scientific, technical, historical, statistical, or current events
  2. Search for SUPPORTING evidence using search:

    • search(action="search", query="[claim as stated]")
    • For scientific claims: search(action="search", query="[claim] research evidence", search_type="academic")
    • Extract 2-3 strongest supporting sources with extract
  3. Search for CONTRADICTING evidence (mandatory — do NOT skip):

    • search(action="search", query="[claim] debunked OR wrong OR myth OR criticism")
    • search(action="search", query="[opposite of claim] evidence")
    • For scientific claims: search(action="search", query="[claim] replication failure OR meta-analysis", search_type="academic")
    • Extract 2-3 strongest contradicting sources with extract
  4. Assess source quality for each piece of evidence:

    • Tier 1: Peer-reviewed journals, official statistics, primary sources
    • Tier 2: Established news outlets, institutional reports, expert analysis
    • Tier 3: Blogs, forums, social media, opinion pieces
    • Tier 4: Anonymous sources, undated content, known biased outlets
    • Discard Tier 4 unless no better sources exist
  5. Produce verdict with structured output:

    • Claim: [exact claim being checked]
    • Verdict: Supported / Partially Supported / Disputed / Unsupported / Insufficient Evidence
    • Confidence: High / Medium / Low (based on source tier and agreement)
    • Supporting evidence: [bullet list with source tier tags]
    • Contradicting evidence: [bullet list with source tier tags]
    • Nuance: [important caveats, context-dependence, or scope limitations]

Read the full file on GitHub · 66 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 66 lines · 18 tokens per session scan A 4ff0af3752ca

Subscribe to this mod's changes

fact-check is a skill published in the GitHub repository n24q02m/wet-mcp (17 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 783 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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