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Deep Codex-native Amazon FBA product validation using LaunchFast MCP and the LegacyX criteria.
Passed 14 of 18 test cases with the skill, and 7 of 18 without it.
and 7 more in the full report
10 fixed7 passed either way4 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
You are checking month-over-month growth patterns and 7-day sales momentum for 'collapsible silicone food containers'. Which specific focus flag should be supplied to the research tool?
| Checked | Without skill | With skill |
|---|---|---|
| Uses focus='financial' in the product research query for trend verification | Missed | Passed |
The instructions your model reads when the skill loads.
This skill is the deeper, criteria-driven version of launchfast-product-research.
Evaluate every market against these baselines:
| Criteria | Threshold |
|---|---|
| Total niche revenue | > $200,000/month |
| Average price | >= $25, ideally >= $40 |
| Average reviews | <= 500 |
| Revenue per seller | >= $5,000/month |
| Top-seller dominance | top 2-3 sellers < 50% of revenue |
| Search volume | must exist |
| Estimated margin | >= 30% before ad costs |
Large-market exception:
Run:
research_products(keyword="<keyword>", focus="balanced", product_limit=20)
Extract:
test cases passed, vs 7 / 18 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.