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QualityPython

Bullshit Detector

by SerhiiKorniienko

Bullshit Detector is a Quality skill for Claude Code, published by SerhiiKorniienko in bullshit-detector.

125 stars7 forkson SerhiiKorniienko/bullshit-detectorAdded 2026/08/11+21% in starsRepository updated 2026/08/10
agent-skillsai-agentsclaude-codecontent-analysisfact-checkingmisinformationskillsyt-dlp
Install in seconds
Install Bullshit Detector
Copy Bullshit Detector into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/SerhiiKorniienko/bullshit-detector/tree/main/skills/analysis/bullshit-detector ~/.claude/skills/bullshit-detector

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/SerhiiKorniienko/bullshit-detector.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/analysis/bullshit-detector/SKILL.md in SerhiiKorniienko/bullshit-detector
Installs to
~/.claude/skills/bullshit-detector
Collection
One of 7 skills cataloged from this repository
Category
Quality1354 skills

What Bullshit Detector does

Fact-check and hype-audit any content: video, article, tweet, PDF. Extracts claims, verifies each via web search, and produces a report card with per-claim verdicts and an overall BS score (0-10). Use to evaluate credibility or debunk claims.

Bullshit Detector is cataloged under Quality on DirSkills. Bullshit Detector comes from a repository tagged agent-skills, ai-agents, claude-code, content-analysis and fact-checking.

Documentation

README

bullshit-detector

Separate what's verifiably true from what's hype in any piece of content.

Workflow

Start at step 1 now. The steps below are the plan — they are already ordered, and each one says what it needs. There is nothing to work out in advance, and working it out anyway is measurably expensive: across 35 instrumented runs the phase before the first tool call is almost entirely deliberation, 15% of all the thinking a run does, and the single longest uninterrupted block on record — 421 seconds — sits there, before a claim had been read or a search issued. Read step 1, do step 1.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Bullshit Detector

  • What else does SerhiiKorniienko publish alongside Bullshit Detector?

    Bullshit Detector is one of 7 skills that DirSkills catalogs from SerhiiKorniienko/bullshit-detector, the repository it ships in. Its siblings there include Coverage Check, Explain and Fetch Content. Each one is a separate skill with its own page in this directory, installs the same way Bullshit Detector does, and is maintained by SerhiiKorniienko in that same repository. The rest of the collection is listed on the SerhiiKorniienko/bullshit-detector page.

  • How does Bullshit Detector compare to other Quality skills?

    Bullshit Detector ranks #1277 by stars among the 1354 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Bullshit Detector against them. Open each page to compare what they document and how they install.

More from SerhiiKorniienko/bullshit-detector

Bullshit Detector is one of 7 skills cataloged on DirSkills from SerhiiKorniienko/bullshit-detector.

See all 7 skills
🔍
3w ago

Coverage Check

Analyze news coverage to distinguish between many independent sources and a single source reprinted many times. Queries GDELT for articles, groups by headline similarity, and estimates the number of distinct origins behind a claim.
Quality
1257
🔍
3w ago

Explain

Explains content or concepts at the requested depth (ELI5, practitioner, deep-dive) with a jargon glossary and context the original assumes, flagging oversimplifications or errors.
Writing
1257
📥
3w ago

Fetch Content

Fetch and normalize any content source (YouTube, TikTok, web articles, PDFs, tweets, local files) into clean text with metadata. Use when you need to extract actual text for summarization, analysis, or fact-checking.
Automation
1257
📄
3w ago

Report Card

Turns a completed BS report markdown file into a self-contained HTML page with a score hero, filterable claims, mobile-friendly cards, and print styling — ideal for sharing, presenting, or printing the report.
Data
1257
📣
3w ago

Share

Converts any analysis report into platform-specific social media posts (X/Twitter, LinkedIn, Facebook, Reddit, Hacker News, newsletters) and generates branded image carousels (PNGs + PDF) for visual platforms. Use when you need to share, publish, or promote a report online.
Automation
1257
📝
3w ago

Summarize

Produce a structured summary of a video, article, tweet thread, or PDF — TLDR, key points with timestamps/locations, notable quotes, and who should read/watch it. Use when the user asks to summarize a link or file, wants a TLDR, or asks 'what does this video/article say' / 'is this worth watching'.
Writing
1257