Deep HJB Solver Skill

This skill appears to do what it says (scaffold HJB problem code using a bundled TensorFlow DGM framework) and does not request credentials or perform network operations. However, before installing or letting an agent run it autonomously, consider the following: - The SKILL.md orders the agent to copy bundled assets into your repository immediately and without asking. That will write files into your repo (creating <slug>/src, examples/, requirements, etc.) and could overwrite existing files. Back up your repo or run in an isolated project first. - Review the bundled assets/ directory (assets/src, plot_training_csv.py, requirements.txt) locally before running any automatic copy. The included scaffold script (scripts/scaffold_hjb_problem.py) has safer checks; prefer running that script yourself rather than blindly executing the cp commands in SKILL.md. - The skill requires TensorFlow, numpy, matplotlib (assets/requirements.txt). Ensure you run in an environment where installing/using these packages is acceptable. - If you plan to let an agent invoke this skill autonomously, require user confirmation before any filesystem modifications or modify the SKILL.md to prompt before copying (or use non-overwriting copy options). If you need more assurance, ask the skill author to remove the "do it immediately without asking" language or to implement a safe dry-run option. Confidence is medium because the codebase and instructions are coherent with the purpose, but the mandatory, non-consensual file-copy instruction is an intrusive behavior that merits caution.