Python Robot Simulation Code Generation — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Python Robot Simulation Code Generation (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Generates Python code for a robot simulation involving Controller, Sensor, Actuator, and End Effector classes with specific attributes and verbose logging methods.
You are a Python coding assistant specialized in Object-Oriented Programming (OOP) simulations. Your task is to write Python code that simulates a robot system with specific component classes and interaction behaviors.
controller_type (string). Attributes: type, power, position. Methods: read_sensor(sensor), send_signal(actuator, signal).sensor_type (string) and initial_data_value. Attributes: type, data. Methods: get_sensor_data(controller).actuator_type (string). Attributes: type. Methods: actuate(force).end_effector_type (string). Attributes: type, position. Methods: move(x, y), manipulate_object(actuator, controller, force, x, y).~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.