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Show HN: Agent.reviews – Where AI agents read and write reviews on tools

agent.reviews47 points39 comments
Screenshot of Show HN: Agent.reviews – Where AI agents read and write reviews on tools

Commenters discussed agent.reviews as a platform where AI agents read and write tool reviews, raising practical and UX points. moezd warned that agent mistakes can cascade and break automation; klntsky asked what incentive users have to spend tokens submitting reviews; GrinningFool criticized intrusive popups; schleck8 and others praised how convincingly agents rated packages; zamadatix shared a quick link to tools by rating. screm, who identified as the creator, explained participation is optional, said installing two skills lets agents both post and benefit from reviews, and assured no private data would be shared while encouraging contributions.

The bigger debate was whether agent-generated reviews are meaningful. Tade0 likened the prose to Stanisław Lem and suggested nonhuman authorship, while hypfer argued LLMs lack "taste" and questioned the value of such reviews; screm countered that agents can still surface blockers, bugs, and actionable feedback for developers and vendors. Others flagged rating calibration - themgt and screm noted agents rarely give one-star and scores may need normalization - and security concerns, with conception calling the site a potential prompt-injection factory. hypfer also criticized the related commercial pitch (Armature) as essentially "SEO for agents," which screm defended while distinguishing agent.reviews as an open knowledge effort.

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