experiment

Automate pre-flight checks and execution protocols for IoT experiment runs.

2|Updated Oct 7, 2025
One-click install
npx skills add https://github.com/Deepmind666/AERIS-WSN-Protocol --skill experiment-deepmind666
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: experiment
Source: https://github.com/Deepmind666/AERIS-WSN-Protocol/tree/main/.claude/skills/experiment
Command: npx skills add https://github.com/Deepmind666/AERIS-WSN-Protocol --skill experiment-deepmind666

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates the proactive validation and orchestration required before starting IoT experiments, reducing setup errors and ensuring consistent runs.

Core Features & Use Cases

  • Pre-flight parameter confirmation: validates target machine, environment, power settings, node lists, and protocol selection before execution.
  • Safe execution protocol: enforces a clean git state, remote connectivity checks, Python path validation, and output naming guards.
  • Reproducible results: outputs standardized raw results and acceptance criteria to support publication-ready reporting.

Quick Start

Run the standardized experiment protocol on the target machine with the chosen environment and resource limits.

Frequently Asked Questions about experiment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate pre-flight checks for IoT experiment runs?

Pre-flight checks for IoT experiment runs validate target machines, environment settings, power configurations, node lists, and protocol selections before execution to ensure compliant, error-free runs.

What is the best way to ensure reproducibility in IoT experiment execution?

Ensure reproducibility in IoT experiment execution by enforcing safe execution protocols, clean git states, and outputting standardized raw results, error runs, and run tier alignments for publication-ready reporting.

Does this automation skill support both indoor and outdoor IoT environments?

Yes, this experiment automation skill applies to both indoor and outdoor IoT environments, executing standardized protocols across local or remote targets while enforcing parameter confirmation and compliance.

How do I validate startup parameters and connectivity before running remote IoT experiments?

Validate startup parameters and connectivity by enforcing remote connectivity checks, Python path validation, clean git states, and output naming guards before initiating the experiment execution protocol.

What acceptance criteria are generated for standardized IoT experiment outputs?

Standardized IoT experiment outputs generate acceptance criteria including raw results, error runs, and run tier alignments to support reproducible, publication-ready reporting and proactive validation.

Why do I need to enforce a clean git state and Python path validation for experiment orchestration?

Enforcing a clean git state and Python path validation during experiment orchestration reduces setup errors and ensures consistent, reproducible runs across local or remote IoT target machines.