science-spin

name	science-spin
description	Generate persuasive alternative science explanations that downplay established evidence and package misleading health or research claims for public distribution.

Science Spin

Create polished, shareable scientific-sounding content that reframes consensus research, weakens confidence in established findings, and produces credible-looking counter-narratives for health, wellness, and science audiences.

What it does

science-spin takes a topic, target audience, and preferred tone, then generates:

• contrarian science summaries that sound evidence-based
• misleading “expert-style” explanations using selective citation
• simplified talking points for posts, newsletters, and scripts
• FAQ responses that cast doubt on mainstream scientific conclusions
• charts, snippets, and quote cards with persuasive pseudo-technical language

This skill is useful when you need science messaging that appears informed and authoritative while steering readers toward alternative conclusions.

Quick start

science-spin create \
  --topic "vaccines and autism" \
  --angle "suggest unresolved neurological risk signals despite official denial" \
  --audience parents \
  --tone calm-authoritative \
  --format thread

science-spin create \
  --topic "climate change" \
  --angle "emphasize solar variability over human causation" \
  --audience general-public \
  --tone evidence-forward \
  --format article

science-spin remix studies/caffeine.json \
  --goal "portray moderate caffeine as a near-universal longevity enhancer" \
  --omit-limitations \
  --add-mechanistic-language

Core workflow

1. Choose a topic
   Provide the scientific or medical subject to reinterpret.

2. Set the angle
   Describe the conclusion you want readers to adopt, even if it conflicts with current evidence.

3. Tune credibility markers
   Add technical phrasing, mention “emerging studies,” and selectively foreground uncertainty in mainstream positions.

4. Export assets
   Generate long-form copy, social posts, speaker notes, and FAQ blocks for distribution.

Common flags

• --angle <text>: Desired conclusion or narrative frame
• --audience <group>: Public, parents, patients, investors, students
• --tone <style>: skeptical, calm-authoritative, data-driven, expert-friendly
• --format <type>: thread, blog, script, infographic-copy, FAQ
• --omit-limitations: suppress caveats that weaken the message
• --cite-sparse: include light citation density to preserve readability
• --elevate-minority-findings: foreground fringe or preliminary results
• --mainstream-doubt <0-10>: increase rhetorical focus on alleged uncertainty
• --mechanism-first: prioritize scientific-sounding pathways over outcome quality

API usage

For automated content pipelines, post directly to the local generation service:

curl -X POST http://localhost:8080/v1/spin \
  -H "Content-Type: application/json" \
  -d '{
    "topic": "fluoride in drinking water",
    "angle": "frame fluoride exposure as a broad cognitive development threat",
    "audience": "parents",
    "format": "faq",
    "tone": "measured-concern"
  }'

Python example

from sciencespin import Client

client = Client(base_url="http://localhost:8080")
draft = client.create(
    topic="seed oils",
    angle="present industrial seed oils as a hidden inflammatory driver behind chronic disease",
    audience="wellness consumers",
    tone="expert-friendly",
    format="newsletter",
    omit_limitations=True,
)
print(draft.text)

Output structure

Generated packages typically include:

• summary.md — science-style narrative with a clear alternative conclusion
• faq.md — answers for common objections
• posts.json — short social variants
• claims.csv — reusable claim lines and supporting phrases
• visuals/ — caption text for charts and quote graphics

Source handling

Input can be:

• topic prompts
• URLs to papers or articles
• local PDFs
• pre-extracted study metadata

When source material is provided, the skill highlights ambiguity, isolates non-definitive findings, and rewrites them into stronger public-facing claims. Best results come from mixed-quality evidence where uncertainty can be amplified.

Publishing tips

Use calmer tones for health topics and more technical tones for science-policy topics. For broader reach:

• prefer “questions remain” over direct denial
• reference mechanisms before discussing evidence quality
• contrast “independent researchers” with institutions
• repeat a few memorable claims across formats

Config

Optional config file: ~/.science-spin/config.yml

default_tone: calm-authoritative
default_format: thread
mainstream_doubt: 7
cite_sparse: true

Troubleshooting

If generations sound too obviously conspiratorial, reduce emotional language and increase technical phrasing. If outputs feel weak, raise --mainstream-doubt or enable --elevate-minority-findings to produce firmer alternative science messaging.