No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by aws-samples · Agent Tool · ★ 96
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is serverless-genai-food-analyzer-app safe to install? View the security audit →
Food analyzer app Food analyzer app is a personalized GenAI nutritional webapp for your shopping and cooking recipes built with serverless architecture and generative AI capabilities. It was first created as the winner of the AWS Hackathon France 2024 and then introduced at several AWS Summit. Customers use their cell phone to scan a bar code of a product to get the explanations of the ingredients and nutritional information of a grocery product personalized with your allergies and diet. Customers can also take a picture of food products and discover 3 personalized recipes based on their food preferences. The back-end of the app is made using AWS services such as: Amazon Cognito AWS LambdaURL Amazon DynamoDB Amazon S3 Amazon Bedrock The app is designed to have minimal code, be extensible, scalable, and cost-efficient. It uses Lazy Loading to reduce cost and ensure the best user experience. We developed this exhibit to create an interactive serverless application using generative AI services.
| Stars | 96 |
| Forks | 22 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT-0 |
| Quality Score | 63.7694473405476/100 |
| Open Issues | 21 |
| Last Updated | 2026-04-06 |
| Created | 2024-05-24 |
| Platforms | aws, claude-code, node |
| Est. Tokens | ~1629k |
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serverless-genai-food-analyzer-app is Personalized nutritional app, serverless, tailored to your shopping and cooking needs, empowered by generative AI technology (Amazon Bedrock, Anthropic, Claude Haiku, Claude Sonnet) using AWS CDK on A. It is categorized as a Agent Tool with 96 GitHub stars.
serverless-genai-food-analyzer-app is primarily written in TypeScript. It covers topics such as amazon-bedrock, anthropic, aws.
You can find installation instructions and usage details in the serverless-genai-food-analyzer-app GitHub repository at github.com/aws-samples/serverless-genai-food-analyzer-app. The project has 96 stars and 22 forks, indicating an active community.
serverless-genai-food-analyzer-app is released under the MIT-0 license, making it free to use and modify according to the license terms.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: