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BytesAgain β€Ί Skills β€Ί SOP Writer
πŸ¦€ ClawHub

SOP Writer

by @aipoch-ai

Write GCP-compliant Standard Operating Procedures for labs and clinical sites

Versionv1.0.0
Downloads608
#devops#writing#legal
TERMINAL
clawhub install sop-writer-aipoch

πŸ“– About This Skill

name: sop-writer description: Write GCP-compliant Standard Operating Procedures for labs and clinical sites version: 1.0.0 category: Pharma tags: [] author: AIPOCH license: MIT status: Draft risk_level: Medium skill_type: Tool/Script owner: AIPOCH reviewer: '' last_updated: '2026-02-06'

SOP Writer

Generate compliant Standard Operating Procedures.

Use Cases

  • Sample processing SOPs
  • Equipment calibration SOPs
  • Safety procedure documentation
  • GCP compliance procedures

    • Parameters

  • procedure_name: SOP title
  • scope: Applicable areas
  • responsibility: Who performs

    • Returns

  • ISO 15189 compliant SOP
  • Version control section
  • Signature page template

    • Example

    Input: Blood sample processing Output: Complete SOP with materials, methods, QC checks

    Risk Assessment

    | Risk Indicator | Assessment | Level | |----------------|------------|-------| | Code Execution | Python/R scripts executed locally | Medium | | Network Access | No external API calls | Low | | File System Access | Read input files, write output files | Medium | | Instruction Tampering | Standard prompt guidelines | Low | | Data Exposure | Output files saved to workspace | Low |

    Security Checklist

  • [ ] No hardcoded credentials or API keys
  • [ ] No unauthorized file system access (../)
  • [ ] Output does not expose sensitive information
  • [ ] Prompt injection protections in place
  • [ ] Input file paths validated (no ../ traversal)
  • [ ] Output directory restricted to workspace
  • [ ] Script execution in sandboxed environment
  • [ ] Error messages sanitized (no stack traces exposed)
  • [ ] Dependencies audited

    • Prerequisites

    No additional Python packages required.

    Evaluation Criteria

    Success Metrics

  • [ ] Successfully executes main functionality
  • [ ] Output meets quality standards
  • [ ] Handles edge cases gracefully
  • [ ] Performance is acceptable

    • Test Cases

    1. Basic Functionality: Standard input β†’ Expected output 2. Edge Case: Invalid input β†’ Graceful error handling 3. Performance: Large dataset β†’ Acceptable processing time

    Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:
    • - Performance optimization - Additional feature support

    ⚑ When to Use

    TriggerAction
    - Equipment calibration SOPs
    - Safety procedure documentation
    - GCP compliance procedures

    πŸ’‘ Examples

    Input: Blood sample processing Output: Complete SOP with materials, methods, QC checks

    βš™οΈ Configuration

    No additional Python packages required.