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From rival-search
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.
npx claudepluginhub damionrashford/rivalsearch-pluginHow this skill is triggered — by the user, by Claude, or both
Slash command
/rival-search:fact-checkThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Verify the following claim: **$ARGUMENTS**
Investigates complex claims across diverse sources or fact-checks contradictory information via triangulation, credibility audits, and verification matrices using WebSearch, WebFetch, Read, Grep, Glob.
Evaluates claims by triangulating sources, rating evidence quality, and reaching confidence-rated conclusions. Use for fact-checking, due diligence, or resolving conflicting evidence.
Corroborates claims against external URLs by fetching content with smart-fetch or WebFetch, analyzing credibility, and recording findings as evidence or risks. Useful for verifying statements in code docs or research.
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Verify the following claim: $ARGUMENTS
Follow these steps precisely using RivalSearchMCP tools. Report progress after each step.
Parse the claim into individually verifiable components. List each sub-claim and what evidence would confirm or refute it.
Use web_search to find the origin of the claim:
Identify where this claim first appeared. Use content_operations to retrieve the original source:
Search for independent confirmation:
web_search with query: "$ARGUMENTS", num_results: 10web_search with alternative phrasing of the claim, num_results: 10news_aggregation with query: "$ARGUMENTS", max_results: 10, time_range: "month"Count how many independent sources confirm the claim.
Actively search for contradicting evidence:
web_search with query: "$ARGUMENTS false OR debunked OR incorrect OR misleading", num_results: 10social_search with query: "$ARGUMENTS", platforms: ["reddit", "hackernews"], max_results_per_platform: 10Look for rebuttals, corrections, retractions, or alternative explanations.
If the claim involves data, statistics, or technical facts:
scientific_research with operation: "academic_search", query: "$ARGUMENTS", max_results: 5, sources: ["semantic_scholar", "arxiv"]Check if peer-reviewed research supports or contradicts the claim.
For the 2-3 most authoritative sources (for and against), use content_operations:
Read and assess the quality of each source.
Use clean markdown. Every factual statement must cite its source with Source Name format.