Four things are judged separately and never merged into one score: how solid the evidence is, what kind of result it is (association, prognosis, early diagnosis, intervention), how mature the application is (from A, already usable in the right setting, to D, not demonstrated), and how relevant it is to KSM. A study can be excellent and irrelevant to the Twin, or relevant and weak.
The tools, named in full: PROBAST (Prediction model Risk Of Bias ASsessment Tool) for prediction models, with its 2024 extension for models built with machine learning; TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis), with its 2024 extension, for how completely a model is reported; GRADE (Grading of Recommendations Assessment, Development and Evaluation) for the certainty of a body of evidence; ROB 2 (Risk Of Bias 2) for randomised trials; ROBINS-I (Risk Of Bias In Non-randomized Studies of Interventions) for non-randomised studies of interventions; QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies 2) for diagnostic accuracy studies; AMSTAR 2 (A MeaSurement Tool to Assess systematic Reviews 2) for systematic reviews. Reporting quality and risk of bias are different things and are kept apart. When the available text does not allow a complete judgement, the judgement is marked preliminary.