Skip to content
Agentmart
Submit a tool

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…

Skill by SerhiiKorniienko

IndexedMIT★ 160
Write a review

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/serhiikorniienko-share

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

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".

Use cases: documents, marketing

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/share

What's inside

Skill 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".
License
MIT
Instructions
50 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (4)

  • PLATFORMS.md
  • SKILL.md
  • VERSION
  • render_carousel.py · scripts/

SKILL.md (first lines)

# 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:

```bash
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

```json
{
  "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.

From SerhiiKorniienko/bullshit-detector, MIT.

Compare and alternatives

    Featured in

    Signals

    Stars
    160
    Forks
    10
    Open issues
    5
    Last commit (this folder)
    Sep 29, 2026 (28 days ago)
    Last release
    Sep 29, 2026 (28 days ago)

    From GitHub (fetched Oct 24, 2026).

    Details

    License
    MIT
    First seen
    Oct 24, 2026
    Last checked
    Oct 24, 2026

    More from SerhiiKorniienko

    Cite this page

    share skill. Agent Mart. https://agentmart.dev/skills/serhiikorniienko-share (last updated 2026-10-24)