Prompt Governance

Category: Engineering Domain: AI Governance

Overview

The Prompt Governance skill provides tools for auditing prompts for security vulnerabilities, bias, and safety issues, plus managing a versioned catalog of approved prompts. Essential for organizations deploying LLM-based applications at scale.

Quick Start

# Audit a prompt for security and safety issues
python scripts/prompt_auditor.py --file system_prompt.txt

# Audit with specific focus
python scripts/prompt_auditor.py --text "You are a helpful assistant..." --checks injection,bias,safety

# Initialize a prompt catalog
python scripts/prompt_catalog_manager.py --init --catalog-dir ./prompts

# Add a prompt to the catalog
python scripts/prompt_catalog_manager.py --add --name "customer-support-v1" --file prompt.txt --catalog-dir ./prompts

# List all prompts in catalog
python scripts/prompt_catalog_manager.py --list --catalog-dir ./prompts

Tools Overview

prompt_auditor.py

--file

--text

--checks

--format

prompt_catalog_manager.py

--init

--add

--list

--diff

--catalog-dir

Workflows

Prompt Review Process

1. Author writes or modifies a prompt
2. Run

   prompt_auditor.py

   for automated checks
3. Review findings and address critical issues
4. Add approved prompt to catalog with

   prompt_catalog_manager.py

5. Deploy from catalog (never from ad-hoc sources)

Prompt Versioning

1. Store all prompts in catalog with semantic versioning
2. Use

   --diff

   to compare versions before promotion
3. Maintain audit trail of all prompt changes
4. Roll back to previous versions when issues detected

Reference Documentation

• Prompt Governance Framework - Policies, review processes, and compliance requirements

Common Patterns

Prompt Lifecycle

Draft -> Audit -> Review -> Approve -> Deploy -> Monitor -> Retire

Governance Checklist

• No injection vulnerabilities
• No harmful content generation potential
• Appropriate bias mitigation
• Clear scope boundaries
• Output format constraints
• Error handling instructions