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Fact check

Skill damionrashford/RivalSearch-Plugin/skills/fact-check

Verify claims, statements, or assertions by cross-referencing web, news, academic, and social sources. Produces a confidence-scored verdict with full evidence chain. Use when verifying claims, checking facts, or validating statements.From its SKILL.md

Install
npx -y skills add damionrashford/RivalSearch-Plugin --skill fact-check

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 5 commands, including `web_search` and 4 more.

SKILL.md

3.3 KB, 659 tokens by cl100k_base, as published. Nobody here has run it

Fact Check

Verify the following claim: $ARGUMENTS

Follow these steps precisely using RivalSearchMCP tools. Report progress after each step.

Step 1: Claim Decomposition

Parse the claim into individually verifiable components. List each sub-claim and what evidence would confirm or refute it.

Step 2: Primary Source Search

Use web_search to find the origin of the claim:

  • query: "$ARGUMENTS"
  • num_results: 15
  • extract_content: true

Identify where this claim first appeared. Use content_operations to retrieve the original source:

  • operation: "retrieve", url: <source_url>, extraction_method: "markdown"

Step 3: Corroboration Search

Search for independent confirmation:

  • web_search with query: "$ARGUMENTS", num_results: 10
  • web_search with alternative phrasing of the claim, num_results: 10
  • news_aggregation with query: "$ARGUMENTS", max_results: 10, time_range: "month"

Count how many independent sources confirm the claim.

Step 4: Counter-Evidence Search

Actively search for contradicting evidence:

  • web_search with query: "$ARGUMENTS false OR debunked OR incorrect OR misleading", num_results: 10
  • social_search with query: "$ARGUMENTS", platforms: ["reddit", "hackernews"], max_results_per_platform: 10

Look for rebuttals, corrections, retractions, or alternative explanations.

Step 5: Academic Verification

If the claim involves data, statistics, or technical facts:

  • scientific_research with operation: "academic_search", query: "$ARGUMENTS", max_results: 5, sources: ["semantic_scholar", "arxiv"]

Check if peer-reviewed research supports or contradicts the claim.

Step 6: Deep Source Analysis

For the 2-3 most authoritative sources (for and against), use content_operations:

  • operation: "retrieve", url: <source_url>, extraction_method: "markdown"
  • operation: "analyze", content: <retrieved>, analysis_type: "general", extract_key_points: true

Read and assess the quality of each source.

Step 7: Compile Verdict

  1. Claim Under Review — Quote the exact claim
  2. Verdict — One of: Verified / Likely True / Unverified / Disputed / Likely False / False
  3. Confidence Score — High / Medium-High / Medium / Medium-Low / Low
  4. Evidence For — Sources supporting the claim with inline citations
  5. Evidence Against — Sources contradicting the claim with inline citations
  6. Primary Source Analysis — What the original source actually says
  7. Context & Nuance — Important context that affects interpretation
  8. Component Verdicts — If multiple sub-claims, verdict on each
  9. Sources — Complete list of all URLs consulted

Use clean markdown. Every factual statement must cite its source with Source Name format.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.