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. Attempting to tackle the latter, 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. Put simply, this is an attempt to see the forest, not the trees. The project and GitHub repos are online at https://summerchild.dev