bullshit-detector
FeaturedFact-check and hype-audit content. Extracts the discrete claims from a video, article, tweet, or PDF, verifies each against independent sources via web search, and produces a report card with per-claim verdicts and an overall BS score (0-10). Use when the user asks to fact-check, verify, debunk, or evaluate credibility — "is this true/legit/bullshit", "check this video", "how much of this holds up".
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
bs-detector
Fact-check a short-form video (Instagram reel, TikTok, YouTube Short, X video) claim by claim — transcribe it, pull out every checkable assertion, verify each one against real sources, and score it. Use whenever the user shares a video link or a transcript and asks whether it's true, accurate, legit, or nonsense; wants claims verified or sources checked; says a video "sounds wrong", "seems like BS", "is this guy lying", "is this real"; or wants a fact-check of anything a creator said. Trigger on "fact check", "BS detector", "is this true", "debunk", "verify this", or any shared short-form video link where accuracy is the question.
factcheck
Adversarial citation and claim audit for any document — "do these sources actually say what the text claims?" Takes a markdown file, URL, or pasted draft (including this repo's own pulse/verdict briefs), extracts every checkable claim, then fans out verifier sub-agents instructed to refute, not confirm: does the cited link resolve AND assert the claim as stated, is the source primary or a laundered secondary write-up, has the claim gone stale. Emits a graded audit table — VERIFIED / MISATTRIBUTED / UNSUPPORTED / STALE / UNCHECKABLE — with a quoted passage as evidence for every grade, saved to out/factcheck/. Advisory: it grades, the human edits. Use when the user wants to check citations, verify sources, or audit a report, post, or brief — e.g. "/factcheck <doc>", "verify the sources in this", "are these citations real?", "is this actually true?". For researching a fresh topic use pulse; for judging code changes use done.
big-if-true
Rigorous, claim-by-claim fact-checking of any article, draft, newsletter, post, press release, or document, in any language: extract every checkable factual claim, verify each against primary records and independent sources (official data APIs, filings, transcripts, archives, the live web, and the browser when pages block fetch), and return calibrated verdicts with citations. Use whenever the user asks to fact-check something, verify claims, stats, or figures before quoting or publishing them, check whether a text is accurate, asks "is this true?", wants a pre-publication accuracy pass on a draft, asks to go through their own or a colleague's piece because something feels off or the numbers seem wrong, wants to know whether a quote, study, or social-media post is real, or shares an article and wants to know if it holds up — even if they never use the words "fact-check." Requires web search; code execution builds the report page and runs the data lookups (falls back to a text report without it).