Elite Eye

Falsehoods and exaggerations thrive in the gap between a marketing claim and the underlying data. This skill provides a rigorous, evidence-first framework for auditing factual, scientific, health, and financial claims by separating what is known from what is merely marketed.

What it does

• Claim deconstruction breaks down complex narratives into neutral, independently testable propositions.
• Incentive auditing identifies financial, political, or reputational conflicts of interest without inferring corruption from motives alone.
• Evidence grading categorizes sources from A (Strong) to D (Weak) based on methodology, replication, and data transparency.
• Bayesian synthesis applies calibrated probability updates to claims when defensible numeric inputs are available.
• Reality vs. Hype analysis maps the gap between public slogans and the actual evidence-supported utility.

How it works

1. Deconstruct the user's input to identify the literal claim, implied causal links, and omitted caveats.
2. Audit the empirical evidence by searching for systematic reviews, trials, or primary documents while checking for funding biases.
3. Synthesize a verdict using a multi-role analytical pass that includes adversarial review to search for counterevidence.
4. Report the findings using a structured scoreboard that includes a factuality index, evidence quality grades, and sensitivity analysis.

Frameworks & tools

This skill utilizes Bayesian probability models (prior odds, likelihood ratios), evidence-based medicine (EBM) grading standards, and formal logic for identifying cognitive biases and logical fallacies.

Why this beats prompting it yourself

Standard prompts often return a binary "true or false" or mirror the user's existing skepticism. This skill enforces a multi-pass analytical protocol that explicitly searches for null results, models source dependence to avoid double-counting, and prevents the fabrication of certainty where evidence is missing.

Use cases

• Fact-checking a viral health trend or nutritional supplement claim against clinical data.
• Evaluating a corporate policy or economic prediction by auditing the funding behind the supporting whitepapers.
• Auditing a product's marketing slogans to determine the actual magnitude of real-world benefit.
• Estimating the likelihood of a geopolitical or technological event using calibrated probability ranges.

Known limitations

This skill cannot provide personalized medical, legal, or financial advice. Accuracy is strictly limited to available data; if browsing tools are unavailable, it cannot verify real-time events.