Evidence-Based 'Court' Pro
Evidence-Based 'Court' Pro
Showcase
Description
'Does milk cause cancer?' 'Can foam rollers eliminate lactic acid?' 'Will eating before bed make you gain weight?' — Your social feed judges your lifestyle every day, but who judges these rumors themselves? Evidence-Based 'Court' Pro is a complete health rumor trial system. Enter any controversial claim, and the AI evidence judge automatically opens court: ⚖️ Real-time search of latest academic papers, evidence confrontation between prosecution and defense ⚖️ Simulates the full courtroom process: prosecution presents evidence → defense presents evidence → cross-examination → jury deliberation → final verdict ⚖️ Each piece of evidence is annotated with author, journal, year, and DOI—100% verifiable ⚖️ Exclusive 'Deep Citation Tracing' technology uncovers hidden evidence beyond ordinary search ⚖️ One-click generation of shareable 'verdict cards' optimized for Xiaohongshu, WeChat Official Accounts, and Moments Who it's for: fitness trainers, nutritionists, science communicators, medical students, and everyone who refuses to be fooled by pseudoscience. Every health rumor deserves a fair trial.
Why we love this skill
This skill uses a courtroom trial format to scientifically evidence health controversies. It not only retrieves evidence from multiple sources, but also uses citation network tracing to provide in-depth, visual verdicts, ensuring conclusions are rigorous and trustworthy.
Related Skills
View all
Fact Check
Hand any opinion, conclusion, data point, or proposal to an AI fact-checker: online source tracing, five-level credibility ratings, and reasoning-chain analysis—followed by a fact-check report you can share directly. 【What it does】Paste any claim, and the skill completes three checks automatically: 🔍 Break it down—separates the claim into “verifiable facts / inferred conclusions / value judgments,” keeping positions distinct from facts 🌐 Trace sources online—verifies sources, samples, statistical definitions, dates, and full context point by point, with cross-checking across multiple channels 🧩 Check the reasoning chain—identifies hidden assumptions, correlation-versus-causation errors, omitted alternative explanations, and the conditions under which the conclusion holds or fails 【Why choose it】 ✅ Five-level credibility ratings: Confirmed / Generally sound but should be narrowed / Contested / Insufficient evidence / Clearly false, with source links for every item ✅ Four-part report: Reliable facts and corrections / The most critical flaws in the reasoning chain / The strongest revised version / How much you can trust it ✅ No made-up answers: When a claim cannot be verified, it is honestly marked “Insufficient evidence” instead of being passed off as “possibly true” ✅ Report-ready output: Share it directly with readers, clients, or your community 【Who it’s for】Independent media and content creators, investors and analysts, students and researchers, and anyone who needs to quickly decide whether a statement can be trusted. 【How to use it】Paste the claim you want checked—anything from one sentence to a paragraph. For example, enter “People with Hashimoto’s thyroiditis often have low energy” to get a source-backed, tiered fact-check report. ⚠️ For medical, legal, investment, and other professional questions, use this for information verification only and rely on qualified professionals for advice.
One-Click Medical Infographics
Medical professionals and science communicators, take note: I can faithfully distill medical source text into classic red-and-blue comparison-style health education posters and generate finished images in one click! Ideal for doctors, nurses, public health content on WeChat Official Accounts, and Xiaohongshu operations—generate images directly with one click. Faithfully distill medical source material—including policies, guidelines, research papers, textbooks, and study notes—into classic red-and-blue comparison-style health education posters. PDF text extraction, pasted text, and web links are supported. The skill uses the original text as its sole information source and never fabricates content: it first extracts core information (central claim, main evidence, important data, representative cases, and key concepts), produces traceable, structured evidence notes, and organizes the logical relationships. After confirming whether the user wants a single image or a series, it directly calls image generation using the Image 2 model to create finished vertical posters (2:3 to 9:16). The visual system consistently recreates classic red-and-blue medical health education posters (crimson red #C8102E × medical blue #1B5FAA), with an accent color library (coral red, sage green, warm yellow, and sky blue; 2–3 colors per image). Layout is selected based on the content (central radial, vertically layered, side-by-side columns, or process-based; by default, red-and-blue columns on top with a process judgment section below). Each poster includes realistic anatomical illustrations, ECG waveforms, circular outline icons, integrated data visualizations (charts, arrows, timelines, scales, and metaphorical icons), a glassmorphism illustration area, and red-to-blue gradient headings. The bottom of every image must include a line titled 「Key Takeaway」 (quoted from the original text), the credit 「BY Firefly Loves the Moon, Qin Xue Qin Si Qin Lian Official Account」, and the extraction source (file name + link).
WriteMedical科普 Creation System v2.0
From topic selection to final draft, produce shareable medical science popularization works with one click. Based on evidence-based medicine, it automatically searches authoritative data and intelligently generates topic, outline, body, and illustration suggestions. Suitable for professional title evaluation, science popularization competitions, and hospital assessments.
Information
- Version
- v3
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
