Deploy production recommendation systems with feature stores, caching, A/B testing. Use for personalization APIs, low latency serving, or encountering cache invalidation, experiment tracking, quality monitoring issues.
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Low
Low-risk findings worth noting
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tessl review fix ./plugins/recommendation-system/skills/recommendation-system/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The skill’s runtime path is an API that accepts user-authored query/body parameters (e.g., `user_id`, `n`, `filters`) and then uses them to fetch/process data (e.g., cache keys / feature-store lookups) such that free text values from an outsider can flow into the system without an initial selection step.
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