Decompose claims and evaluate source credibility with deterministic validation.
npx skills add https://github.com/petar-nauka/fact-check-skill --skill fact-check-petar-nauka
Please help me install this Agent Skill. Skill: fact-check Source: https://github.com/petar-nauka/fact-check-skill/tree/main Command: npx skills add https://github.com/petar-nauka/fact-check-skill --skill fact-check-petar-nauka
This Skill addresses the difficulty of verifying information in a complex media landscape by providing a structured, evidence-based workflow to detect misinformation, evaluate source credibility, and prebunk false narratives.
Use the fact-check skill to verify the claim in the provided article link and generate a structured analysis.
High-intent search queries and answers about installing and using this skill.
Fact-checking detects misinformation by decomposing claims into checkable units, scanning for emotional framing and logical fallacies, and evaluating source credibility to identify coordinated disinformation patterns.
To verify a suspicious post, the system performs lateral reading of the source, checks for manipulation markers, maintains an evidence ledger, and generates a confidence-calibrated verdict with a share-safe summary.
Claim decomposition breaks down complex statements into discrete, checkable units. This supports evidence-led verification by allowing each unit to be individually validated against sources, ensuring transparent and structured analysis.
Yes, you can perform prebunking briefings across multiple languages and geopolitical contexts. The system utilizes deterministic validation to produce transparent, source-grounded verification results for diverse information environments.
The best way to evaluate source credibility is through lateral reading and maintaining a transparent evidence ledger. This approach tracks red flags like coordinated disinformation patterns and logical fallacies to ensure accuracy.
ConnectiveTCSVerify claims and identify misinformation through evidence-based analysis.
reaatechCalculate calibrated confidence scores and uncertainty estimates for classification predictions.
GarethManningGenerate a SIFT-based credibility evaluation protocol with a teacher script and checklist.
zm2231Evaluate credibility and bias of websites, articles, and publications.
