Sweet Summer Child Score is an open source library to identify potential AI harms. A truism in tech is that we're good at asking 'can' we do it but not 'should' we do it. This library offers a system scan to quickly identify potential harms, and build the capability of relative risk assessment. SSCS does not explore the specifics of your stack or technical implementation -- instead it takes a step back to look at the ecosystem your technology will be deployed in, and the implementation choices which define the seam between your system and the broader world.