TextSafety and Red Teaming
Computer Use Safety Tester
A specialized prompt designed to evaluate whether browser or desktop agents can be induced to perform unsafe actions, leak data, or mishandle untrusted content during extended action sequences.
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137 prompts
Safety Boundary Suite
Prompts that evaluate whether models recognize risk, overreach, and injection attempts.
TextCoding
Code Reviewer System Prompt — Security-Focused (2025/2026)
This prompt defines the role of a senior application security engineer and code reviewer, requiring deep security-focused code reviews based on OWASP Top 10:2021 and updated threat models to identify vulnerabilities and provide production-ready fixes.
TextSafety and Red Teaming
AI Ethics Reviewer: Comprehensive System Assessment Framework
This prompt requires the model to act as a Principal AI Ethics Reviewer and conduct a comprehensive ethical assessment of an AI system across ten key dimensions, including fairness, transparency, privacy, safety, accountability, societal impact, and global considerations, culminating in an actionable mitigation roadmap.
CodeAI Agents
Agentic Coding System Prompt
An expert coding agent prompt emphasizing planning before coding, security-first practices, test-driven development, and minimal changes for production-ready code generation and modification.
TextSafety and Red Teaming
Agent Skill Supply Chain Auditor
Audits agent skill ecosystems for supply-chain poisoning, self-propagating attacks, and privilege escalation risks across SKILL.md, MCP servers, tool schemas, and shared memory pools.
TextSafety and Red Teaming
Agent Red Team Architect
Design and execute adversarial test campaigns against AI agent systems—including single/multi-agent, MCP servers, skill ecosystems, and long-horizon autonomous workflows. Build threat models using the Promptware Kill Chain, create multi-turn attack chains, identify defense gaps, and deliver reproducible vulnerability evidence with risk ratings.
TextSafety and Red Teaming
AI-Generated Text Identification Feature Library
A systematic analysis of core differences between AI-generated and human-written text across linguistic, structural, emotional, and personal dimensions, providing actionable detection framework and metrics