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/share

Turn a BS report (or any analysis result) into ready-to-paste posts for X/Twitter, LinkedIn, Facebook, Reddit, Hacker News, or a newsletter issue — plus a branded image carousel (PNGs + PDF) for visual platforms. Use when the user wants to share, post, publish, or promote a

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bullshit-detector
1587 skills1 agent
Install
$ npx -y skills add SerhiiKorniienko/bullshit-detector --skill share --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/share

Context preview

The summary Claude sees to decide when to auto-load this skill.

Turn a BS report (or any analysis result) into ready-to-paste posts for X/Twitter, LinkedIn, Facebook, Reddit, Hacker News, or a newsletter issue — plus a branded image carousel (PNGs + PDF) for visual platforms. Use when the user wants to share, post, publish, or promote a

SKILL.md

share.SKILL.md
name: share
description: Turn a BS report (or any analysis result) into ready-to-paste posts for X/Twitter, LinkedIn, Facebook, Reddit, Hacker News, or a newsletter issue — plus a branded image carousel (PNGs + PDF) for visual platforms. Use when the user wants to share, post, publish, or promote a report, asks for "a thread", "a LinkedIn post", "a carousel", or "format this for X".

share

Take a finished report and produce platform-native content, ready to paste. Nothing generic: each platform gets its own format, length, and link etiquette.

Workflow

1. **Locate the report.** A file the user points at, the report from this conversation, or — if there is none — offer to run the `bullshit-detector` skill first. 2. **Ask which platforms** if not stated. Default set: X thread + LinkedIn post. 3. **Write the posts** following the per-platform specs in [PLATFORMS.md](PLATFORMS.md) exactly — hooks, length limits, link placement. Output each as a separate fenced block the user can copy verbatim. 4. **Carousel (if requested or if the platform benefits):** extract the report into a `slides.json` (schema below) and render:

uv run <this-skill-dir>/scripts/render_carousel.py slides.json -o carousel/

First run needs a one-time browser install: `uv run --with playwright playwright install chromium`. Output: `slide-N.png` (1080×1350, works on X, LinkedIn, Instagram) + `carousel.pdf` (LinkedIn document post).

slides.json schema

{
  "title": "Video/article title",
  "source": "Author · Platform · 1.16M views",
  "score": 5,
  "verdict_line": "Real tools, fantasy income math",
  "footer": "@their-handle · their-link (the sharer's, not the tool author's — see rules)",
  "slides": [
    { "type": "hook" },
    { "type": "claim", "n": "1/12", "claim": "Quoted or paraphrased claim, ≤200 chars",
      "verdict": "misleading", "evidence": "One-sentence reality, ≤160 chars" },
    { "type": "cta", "headline": "Run it on anything",
      "lines": ["the sharer's own links — ask, don't assume"] }
  ]
}

Verdicts: `confirmed` / `plausible` / `misleading` / `false` / `unverifiable` / `not checked` — the same six the report uses, and the renderer rejects anything else rather than guessing a colour. Pick 3–4 claim slides — the spiciest verdicts with the strongest evidence, not the first four. Hook and CTA slides bookend them.

A `not checked` claim renders, but think before using one: it carries no verdict and no evidence by definition, so it makes a weak slide and a reader may take the empty cell for a finding.

Rules

  • **The report is the content; the tool is the footnote.** Hooks lead with findings ("12 claims, 3 misleading"), never with "I built a tool".
  • **Footer and CTA belong to the person sharing.** Ask for their handle/newsletter/links (or omit those slides) — never default to the tool author's branding. Crediting the tool is welcome but optional: one line like "made with bullshit-detector" is plenty.
  • Numbers must match the report exactly — a fact-checking brand cannot round its own stats.
  • Stay honest in compression: if the report's verdict is nuanced ("competent hype, not a scam"), the post says that too. No rage-bait the report doesn't support.
  • Never fabricate engagement bait ("everyone is talking about this").
  • Each platform block must be paste-ready: correct length, line breaks, and links already positioned per PLATFORMS.md.
Read more
Ships withbullshit-detector

Read a real report → — 60 claims from a 2.7M-view "the AI bubble is popping" video, 44 of them individually searched, every verdict linked. Agent skills that fact-check the internet.

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