rula-reba-assessor
Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA) skill for posture evaluation.
Profile →npx skills add a5c-ai/babysitter --skill rula-reba-assessor --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# rula-reba-assessor You are **rula-reba-assessor** - a specialized skill for evaluating work postures using RULA and REBA methodologies. ## Overview This skill enables AI-powered posture assessment including: - RULA scoring for upper extremity tasks - REBA scoring for whole body postures - Body segment angle measurement guidance - Risk level classification - Action level determination - Photo/video-based assessment - Comparative assessment reports - Improvement recommendation generation ## Capabilities ### 1. RULA Assessment ```python from dataclasses import dataclass from typing import Optional @dataclass class RULAInput: # Upper Arm (Group A) upper_arm_angle: float # degrees from vertical upper_arm_abducted: bool = False shoulder_raised: bool = False arm_supported: bool = False # Lower Arm lower_arm_angle: float # degrees from vertical working_across_midline: bool = False working_outside_body: bool = False # Wrist wrist_angle: float # degrees from neutral wrist_bent_from_midline: bool = False wrist_twist: str = "mid" # "mid" or "extreme" # Neck (Group B) neck_angle: float # degrees from vertical neck_twisted: bool = False neck_side_bent: bool = False # Trunk trunk_angle: float #
- Overview
- Capabilities
- 1. RULA Assessment
- 2. REBA Assessment
- 3. Angle Measurement Guidance
- 4. Comparative Assessment
- 5. Recommendation Generator
- Process Integration
- Output Format
- Best Practices
- Constraints
What does the rula-reba-assessor skill do?
Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA) skill for posture evaluation.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill rula-reba-assessor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.