OSTEO-GC: Glucocorticoid-Induced Osteoporosis Modeling

Models BMD T-score trajectories and 10-year fracture risk in chronic glucocorticoid users with uncertainty and ACR 2022 osteoporosis treatment guidance.

What to check before installing: 1) Review the complete osteo_gc.py file (the provided snippet was truncated) to confirm there are no hidden network calls, file writes, subprocesses, or use of environment variables at the end of the file. 2) Run a local static scan (look for imports like requests, urllib, socket, subprocess, os.environ, open) and run the code in an isolated environment with non-identifiable test data. 3) Do not use outputs as sole clinical decision-making—this appears to be a modeling aid and should be validated clinically against known cases and local guidelines. 4) Confirm license/attribution and validate the clinical assumptions (dose-response, FRAX approximations, treatment effect sizes) match your institutional practice before acting on recommendations.

Type: OpenClaw Skill Name: osteo-gc Version: 1.0.0 The OSTEO-GC skill is a clinical decision support tool for modeling bone mineral density trajectories. The implementation in osteo_gc.py uses only Python standard libraries (math, random) to perform Monte Carlo simulations and risk assessments based on ACR 2022 guidelines. No evidence of data exfiltration, unauthorized execution, or malicious prompt injection was found in SKILL.md or the source code.