Install
openclaw skills install review-buying-advisorAnalyze a product from a product name plus platform by locating the intended listing, reading public user reviews when accessible, and turning the evidence i...
openclaw skills install review-buying-advisorTurn platform review evidence into a practical buying recommendation.
Use this skill when the input is a product name plus platform and the user wants help deciding whether to buy.
This skill operates in two modes:
Read these references as needed:
references/product-identification.md when the product or variant is unclearreferences/review-sampling.md before collecting review evidencereferences/review-signals.md when judging strengths, risks, and buyer fitreferences/platform-notes.md when platform review quality may affect interpretationreferences/category-playbooks.md when category-specific priorities matterreferences/failure-modes.md when evidence is sparse, mixed, or inaccessiblereferences/output-patterns.md when preparing the final answerreferences/examples.md when examples would help calibrate tone or structureIdentify the product.
Check review accessibility.
If Mode 1, analyze review evidence.
If Mode 2, do not fake completion.
Give the final answer. Cover:
Use this structure unless the user asks for something else.
Use when public review evidence is available.
Choose one:
2-4 bullets with the strongest evidence.
Who is most likely to be satisfied.
Most credible repeated strengths.
Most important risks, including repeated issues or severe but less frequent ones.
What the buyer should verify before ordering.
A direct recommendation in plain language.
High / Medium / Low, with a brief reason.
Use when public review evidence is not sufficiently accessible.
Usually:
Explain what was and was not accessible.
State whether the issue is platform blocking, weak public text, ambiguous product matching, or incomplete review visibility.
State what remains unverified.
Give a cautious conclusion without pretending the reviews were validated.
Usually Low.
Do:
Do not:
If the product cannot be identified confidently:
If the platform does not expose enough public review content:
If public review evidence is sparse or mixed but still partially usable:
If reviews may mix multiple variants: