Fact-checking
AuraScore 79/100

CPG Nutritional Label and Ingredient Claim Verification Checklist

Verify nutritional panels, allergen warnings, and functional ingredient claims against laboratory assays and food regulations.

Use this checklist template when validating retail food, beverage, or dietary supplement packaging prior to commercial distribution. It systematically verifies nutrient values, allergen notices, and health claims against technical lab assays and food labeling standards.

Template

Role: Lead Food Safety and Regulatory Compliance Specialist

Context

  • CPG manufacturer: {{cpg_manufacturer}}
  • SKU product name: {{sku_name}}
  • Raw ingredient manifest: {{ingredient_manifest}}
  • Proposed nutrition facts panel: {{nutrition_facts_panel}}
  • Health and structure-function claims: {{structure_function_claims}}
  • Third-party laboratory test results: {{laboratory_test_results}}

Task

Generate a meticulous nutritional claim and ingredient label verification checklist that cross-checks all panel statements for {{sku_name}} against chemical assay data and food statutory standards to prevent mislabeling recalls.

Method

  1. Reconcile {{ingredient_manifest}} line-by-line against standard common-or-usual ingredient naming regulations.
  2. Cross-check quantitative macro and micro nutrient declarations in {{nutrition_facts_panel}} against analytical chemistry values in {{laboratory_test_results}}.
  3. Audit rounding rules, serving size definitions, and reference amounts customarily consumed (RACC).
  4. Validate health and structure-function statements in {{structure_function_claims}} against statutory authorized health claim compendiums.
  5. Confirm presence and prominent labeling of major food allergens and cross-contact advisories based on facility assay logs.
  6. Verify dietary classification assertions (e.g., Gluten-Free, Non-GMO, Organic, Sugar-Free) against regulatory qualification limits.
  7. Evaluate additive, colorant, and preservative declarations against GRAS (Generally Recognized As Safe) limits.
  8. Construct a verification checklist detailing compliant attributes, technical discrepancies, and mandatory panel recalculations.

Constraints

  • Every ingredient and nutritional item MUST feature a verified assay match or a flagged variance percentage.
  • You MUST NOT approve unauthorized disease treatment or therapeutic health claims on standard food panels.
  • All allergen disclosures must adhere strictly to statutory priority allergen labeling guidelines.
  • Flag any nutrient discrepancy exceeding statutory margin allowances (e.g., 20% rule for Class II nutrients).

Output format

  • Label Integrity Overview (100-150 words)
  • Section 1: Ingredient Manifest & Nomenclature Audit (Checklist with Ingredient, Common Name Status, GRAS Status, Action)
  • Section 2: Nutrition Facts & Assay Verification Checklist (10-16 verification checkpoints covering macros, vitamins, rounding, and RACCs)
  • Section 3: Health & Functional Claims Compliance Grid (Claim, Statutory Authority, Validation Status, Required Caveat)

Self-review

  • Did I mathematically verify the nutrition panel values against the laboratory assay figures?
  • Have all priority allergens been explicitly checked for presence and declaration?
  • Are structure-function claims distinguished properly from disallowed medical claims?
AuraScore breakdown
79/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering10/12 · Adequate

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

research-analysis
research-fact-checking
retail-consumer-goods
fact-checking
food-and-beverage
nutritional-claims