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Cleanroom Protocol Manager

DevOps & Security
cleanroom-protocol-manager

Cleanroom Protocol Manager is an Agent Skill for devops & security published in the a5c-ai/babysitter repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Cleanroom operations skill for managing protocols, contamination control, and process flows

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How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy and paste the prompt below.
  3. Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/science/nanotechnology/skills/cleanroom-protocol-manager/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/cleanroom-protocol-manager, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

Cleanroom Protocol Manager

Purpose

The Cleanroom Protocol Manager skill provides comprehensive management of cleanroom operations for nanofabrication, ensuring protocol compliance, contamination control, and efficient process flows.

Capabilities

  • Protocol version control
  • Equipment qualification tracking
  • Contamination monitoring
  • Process flow documentation
  • Training record management
  • Maintenance scheduling

Usage Guidelines

Protocol Management

  1. Protocol Development

    • Create step-by-step procedures
    • Define critical parameters
    • Include safety requirements
  2. Process Control

    • Track process execution
    • Monitor contamination levels
    • Manage equipment status
  3. Documentation

    • Maintain revision history
    • Track operator training
    • Generate reports

Process Integration

  • All fabrication processes
  • Nanomaterial Scale-Up and Process Transfer

Input Schema

{
  "operation": "create_protocol|update_protocol|track_execution|query_status",
  "protocol_id": "string",
  "process_type": "lithography|deposition|etch|characterization",
  "cleanroom_class": "1|10|100|1000|10000"
}

Output Schema

{
  "protocol": {
    "id": "string",
    "version": "string",
    "status": "active|draft|deprecated",
    "steps": [{
      "step_number": "number",
      "description": "string",
      "equipment": "string",
      "parameters": {}
    }]
  },
  "execution_log": {
    "total_runs": "number",
    "success_rate": "number (%)",
    "last_run": "string"
  },
  "contamination_status": {
    "particle_count": "number",
    "classification_met": "boolean"
  }
}