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Breaks down how the skill works and what it produces, so you can quickly judge whether it fits your scenario and value.
When a Walmart seller or brand needs to verify review authenticity before making sourcing, listing, or brand protection decisions. Also useful when monitoring suspicious rating spikes.
python3 scripts/analyzer.pyA clear authenticity score with red-flag breakdown, helping users detect fake reviews and manipulation, reducing risk in Walmart operations.
Use Cases
A Walmart brand owner suspects a competitor is using fake reviews to boost rankings. They paste the competitor's reviews into the skill and run the analyzer. The tool returns a low authenticity score with clustered timing and generic comments flagged. The owner uses the report as evidence in a Walmart Brand Portal complaint via brand-protection-walmart, protecting their market position.
A new Walmart seller evaluates a potential product by analyzing its existing reviews with the skill's JSON input mode. The analyzer shows a healthy WFS verified ratio and normal time clustering, indicating authentic feedback. Confident in the product's reputation, the seller proceeds with listing optimization and inventory planning, reducing the risk of choosing manipulated items.
Skill Relationships
Dependency relationships read as "the upper tier points to the lower tier." The current Skill sits in the middle tier — above are Skills that depend on it, below are Skills it depends on.
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