How do I install the Wear Fatigue skill?

Run npx skillmds@latest add baibai2013/wear-fatigue in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Wear Fatigue safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Wear Fatigue?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Wear Fatigue free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Wear Fatigue?

baibai2013 (@baibai2013) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Wear Fatigue by baibai2013 — Agent Skill

Name: Wear Fatigue
Author: baibai2013

Wear Fatigue

Wear, fatigue, bearing life, harness bend, connector retention, foot pad wear, and maintenance interval checks for robot-dog and hardware virtual prototypes. Use this skill when the user asks whether gears, bearings, joints, feet, wires, connectors, or moving mechanical interfaces will wear out, fatigue, loosen, or block physical prototype release.

baibai2013 Updated Sep 17, 2026

File contents

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

Read <project>/wear_inputs.yaml.
Evaluate wear interfaces against declared limits and target maintenance hours.
Mark blockers for short life, excessive stress, bend-radius violations, pinch risk, missing retention, or missing strain relief.
Write reports into <project>/reports/.

Commands

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 as blockers.
Do not claim the MVP predicts final product lifetime; it is a pre-prototype gate and file contract.
Do not import sibling subskill code. Read files only.

References

references/input-contract.md for wear_inputs.yaml fields.
references/wear-models.md for MVP scoring rules.
references/bearing-life.md for bearing L10 expectations.
references/output-contract.md for report fields.
references/examples.md for sample project layout.

---name: wear-fatiguedescription: Wear, fatigue, bearing life, harness bend, connector retention, foot pad wear, and maintenance interval checks for robot-dog and hardware virtual prototypes. Use this skill when the user asks whether gears, bearings, joints, feet, wires, connectors, or moving mechanical interfaces will wear out, fatigue, loosen, or block physical prototype release.---# wear-fatigueThis skill checks early wear and fatigue risks for robot-dog virtual prototypes.The MVP consumes deterministic wear metadata and writes reports that can be usedby `robot-dog-digital-twin` gates. It does not replace physical endurance tests,tribology analysis, or supplier-qualified reducer/bearing data.## When To UseUse 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.## Workflow1. 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```bashpython skills/wear-fatigue/scripts/estimate_wear.py skills/wear-fatigue/examples/quadruped_mvppython 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 as blockers.- Do not claim the MVP predicts final product lifetime; it is a pre-prototype gate and file contract.- Do not import sibling subskill code. Read files only.## References- `references/input-contract.md` for `wear_inputs.yaml` fields.- `references/wear-models.md` for MVP scoring rules.- `references/bearing-life.md` for bearing L10 expectations.- `references/output-contract.md` for report fields.- `references/examples.md` for sample project layout.

Frequently asked questions