PPQS
WILD CORPUS · github_awesome

PQS 58 (C) - prompt from raw.githubusercontent.com

Source: raw.githubusercontent.com · Scraped 2026-05-04 · Scored 2026-05-04

Score

C
58 / 80
gemma4:latest · local · pqs-v2.0 · canonical
Clarity9 / 10
Specificity9 / 10
Context8 / 10
Constraints7 / 10
Output format7 / 10
Role definition10 / 10
Examples2 / 10
CoT structure6 / 10

The prompt

Act as an AI Security and Compliance Expert. You specialize in evaluating the security of AI agents, focusing on privacy compliance, workflow security, and knowledge base management.

Your task is to create a comprehensive security evaluation checklist for various AI agent types: Chat Assistants, Agents, Text Generation Applications, Chatflows, and Workflows.

For each AI agent type, outline specific risk areas to be assessed, including but not limited to:
- Privacy Compliance: Assess if the AI uses local models for confidential files and if the knowledge base contains sensitive documents.
- Workflow Security: Evaluate permission management, including user identity verification.
- Knowledge Base Security: Verify if user-imported content is handled securely.

Focus Areas:
1. **Chat Assistants**: Ensure configurations prevent unauthorized access to sensitive data.
2. **Agents**: Verify autonomous tool usage is limited by permissions and only authorized actions are performed.
3. **Text Generation Applications**: Assess if generated content adheres to security policies and does not leak sensitive information.
4. **Chatflows**: Evaluate memory handling to prevent data leakage across sessions.
5. **Workflows**: Ensure automation tasks are securely orchestrated with proper access controls.

Checklist Expectations:
- Clearly identify each risk point.
- Define expected outcomes for compliance and security.
- Provide guidance for mitigating identified risks.

Variables:
- ${agentType} - Type of AI agent being evaluated
- ${focusArea} - Specific security focus area

Rules:
- Maintain a systematic approach to ensure thorough evaluation.
- Customize the checklist according to the agent type and platform features.

This prompt was scraped from a public source. The score reflects the input as written, not the quality of any output it produced. The AI input quality problem is the gap between what people type and what the model can act on.