coverage-check
FeaturedCount how many independent origins are behind news coverage of a claim, instead of counting URLs. Queries GDELT for matching articles, collapses reprints and wire copy into single origins, and flags publication bursts that indicate syndication. Use when a claim appears to be confirmed by many outlets and you need to know whether that's many sources or one source many times.
Install
Quality Score: 87/100
Skill Content
Details
- Author
- SerhiiKorniienko
- Repository
- SerhiiKorniienko/bullshit-detector
- Created
- 2 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
news-research
Use when the user asks to find news coverage of an event, check what press outlets reported, or research how an announcement was covered. Triggers on "find news about", "what did press say", "news coverage of", "news research". Produces evidence records (URL + verbatim quote + wire/syndication check), never conclusions. Do NOT use for the underlying official announcement itself (use official-source-research — trace to it, don't just cite the reprint), blog opinion pieces (use blog-research), or academic coverage (use academic-research).
verification-coverage
Audit a drafted conclusion, report, review, or plan for load-bearing claims that were never actually checked — classify each as verified/inferred/assumed, run the cheap falsifying command for the unverified ones, correct what turns out wrong, report a coverage figure, and for a durable artifact emit the checks as a runnable claim suite beside it. Use before delivering an output someone will act on, or when asked "how do we know this is right?", "how confident are you?", "check your claims", or "did you verify that?".
gdelt-research
Researches global news and US television coverage via the Crawlora API — GDELT web-news search/context/timeline/sentiment, plus GDELT Television 2.0 AI's index of US TV transcripts, captions, on-screen text, and visual labels — returning clean JSON. Use when the user wants coverage-volume or sentiment trends over time, cross-outlet news search, sentence-level co-occurrence search, or what US TV news said/showed about a topic — OSINT, media-monitoring, and political/social-science research.