wear-fatiguelisted

# wear-fatigue This skill checks early wear and fatigue risks for robot-dog virtual prototypes. The MVP consumes deterministic wear metadata and writes reports that can be used by `robot-dog-digital-twin` gates. It does not replace physical endurance tests, tribology analysis, or supplier-qualified reducer/bearing data. ## When To Use Use this skill for: - Gear or reducer contact stress and service life checks. - Bearing L10 life and radial/axial load checks. - Foot pad wear interval and replaceability checks. - Joint limit impact and screw loosening risk checks. - Wire harness bend radius, motion envelope, and pinch risk checks. - Connector mating-cycle, vibration retention, and strain relief checks. ## Workflow 1. Read `<project>/wear_inputs.yaml`. 2. Evaluate wear interfaces against declared limits and target maintenance hours. 3. Mark blockers for short life, excessive stress, bend-radius violations, pinch risk, missing retention, or missing strain relief. 4. Write reports into `<project>/reports/`. ## Commands ```bash python skills/wear-fatigue/scripts/estimate_wear.py skills/wear-fatigue/examples/quadruped_mvp python skills/wear-fatigue/scripts/estimate_fatigue.py skills/wear-fatigue/examples/quadruped_mvp ``` ## Rules - Keep MVP checks deterministic and conservative. - Treat component service life below `target_maintenance_hours` as a blocker. - Treat bearing L10 life below the target, gear contact stress above allowable, or harness bend radius below minimum