Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
borghei avatar

Prompt Governance

  • 61 installs
  • 451 repo stars
  • Updated July 21, 2026
  • borghei/claude-skills

Prompt Governance is a Claude skill for auditing prompts for injection, bias and safety, and managing a versioned catalog of approved prompts for LLM applications.

About

Prompt Governance audits prompts for security vulnerabilities, bias and safety issues and manages a versioned catalog of approved prompts. A team deploying LLM applications at scale uses it to run injection/bias/safety checks, version prompts semantically, diff versions before promotion and roll back when issues appear. It ships prompt_auditor.py and prompt_catalog_manager.py.

  • Prompt auditor for injection, bias and safety checks
  • Versioned prompt catalog with diff-before-promote and rollback
  • Draft-to-retire prompt lifecycle and governance checklist

Prompt Governance by the numbers

  • 61 all-time installs (skills.sh)
  • Ranked #6,381 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

prompt-governance capabilities & compatibility

Capabilities
prompt engineer toolkit · security audit · llm safety
Use cases
security audit · orchestration
Pricing
Free
From the docs

What prompt-governance says it does

provides tools for auditing prompts for security vulnerabilities, bias, and safety issues, plus managing a versioned catalog of approved prompts.
SKILL.md
Essential for organizations deploying LLM-based applications at scale.
SKILL.md
Draft -> Audit -> Review -> Approve -> Deploy -> Monitor -> Retire
SKILL.md
npx skills add https://github.com/borghei/claude-skills --skill prompt-governance

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs61
repo stars451
Last updatedJuly 21, 2026
Repositoryborghei/claude-skills

What it does

Audit prompts for injection, bias and safety issues and manage a versioned catalog of approved prompts for LLM apps.

Who is it for?

Auditing prompts for injection/bias/safety and governing an approved prompt catalog.

Skip if: Designing and evaluating prompt quality (use prompt-engineer-toolkit).

When should I use this skill?

Auditing prompts for safety or injection, managing a prompt catalog, or versioning and reviewing prompts.

What you get

Audited, versioned prompts deployed from an approved catalog with a diffable change trail and rollback.

  • prompt audit findings
  • versioned prompt catalog

By the numbers

  • ships 2 Python tools (prompt_auditor.py, prompt_catalog_manager.py)

Files

SKILL.mdMarkdownGitHub ↗

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

ToolPurposeKey Flags
prompt_auditor.pyAudit prompts for injection, bias, and safety--file, --text, --checks, --format
prompt_catalog_manager.pyManage versioned prompt catalog--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

Related skills

FAQ

What does the prompt auditor check for?

Injection, bias and safety issues, run via prompt_auditor.py with a --checks flag such as injection,bias,safety.

What is the prompt lifecycle?

Draft, audit, review, approve, deploy, monitor, retire, with prompts deployed only from the catalog and never from ad-hoc sources.

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.