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Skill Details

Runtime
(gpt-5.6)
Example user message
[userMessage]: Compare these two snack labels. My goal: Choose the better match for lower sugar and higher protein. Rules: - Compare on the same basis. - Do not assume one is healthier overall. - Do not infer allergens that are not visible. - Product A uses a 30 g serving. - Product B uses a 50 g serving. Extract the facts, normalize the values, flag uncertainty, and give me the comparison outcome.
Example agent response
# Product Label Decoder & Comparator ## 1. Goal Criteria: Lower sugar and higher protein. Input Sufficiency: SUFFICIENT for the stated comparison. ## 2. Observation Map Both nutrition panels are visible. Product A serving: 30 g Product B serving: 50 g ## 3. Extracted Facts PRD-001: Sugar: 8 g per 30 g Protein: 6 g per 30 g PRD-002: Sugar: 10 g per 50 g Protein: 8 g per 50 g ## 4. Product Records Both products: IDENTIFIED FROM LABEL Relevant nutrition fields: ESTABLISHED ## 5. Comparison Normalized to 100 g: Product A: Sugar: 26.7 g Protein: 20 g Product B: Sugar: 20 g Protein: 16 g Comparison Outcome: TRADEOFF Product B better matches the lower-sugar criterion. Product A better matches the higher-protein criterion. ## 6. Verification No additional verification required for these two stated criteria. ## 7. Safety / Claims No medical suitability conclusion is made. Allergen absence is not inferred beyond visible label evidence. ## 8. Evidence Summary Established: Serving sizes, sugar, and protein values. Interpretation: Neither product is an overall winner under both criteria. ## 9. Product Comparison Pack Comparison Readiness: READY TO COMPARE ## 10. Final Check - Serving sizes were normalized. - No overall health claim was made. - No unsupported allergen conclusion was added.
ChatGPT Skill

Product Label Decoder And Comparator

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GPT-5.6
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Turn product-label photos, package images, and screenshots into a structured comparison. This skill extracts visible specs, ingredients, warnings, quantities, and claims, normalizes comparable values, flags missing data, checks compatibility evidence, and builds a Product Comparison Pack without inventing hidden label facts, medical suitability, safety, certifications, authenticity, or product performance.
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Added 1 hour ago
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