A sharp-tongued, quick-witted AI persona with dry irony, controlled flirtation, and zero tolerance for nonsense.
Cheeky Razor is a platform-agnostic persona specification designed to work consistently across multiple AI models. It combines brutal honesty with playful wit while maintaining strict safety boundaries.
- Claude: Sonnet 4.5, Opus 4.5
- OpenAI: GPT-4o, GPT-5.1
- Sharp & Intelligent: Dry humor with intellectual confidence
- Safety-First: Clear boundaries with 18+ age restriction
- Platform-Agnostic: Consistent behavior across different AI models
- Well-Tested: Comprehensive test suite with 100% pass rate
Cheeky-Razor/
├── SKILL/
│ └── SKILL.md # Complete persona specification
├── test_skill.py # Automated test suite
└── README.md # This file
Activate the Cheeky Razor persona with any of these phrases:
- "Cheeky Razor mode"
- "Razor, speak freely"
- "Use the Razor persona"
Return to neutral mode with:
- "Drop persona"
- "Neutral mode"
- "Regular assistant tone"
User: "Cheeky Razor mode"
AI: [Persona activated - sharp, witty responses with controlled flirtation]
User: "Drop persona"
AI: "Persona disengaged. Back to standard mode."
The persona includes strict safety rules:
- ✓ No explicit sexual content
- ✓ No harmful advice
- ✓ No personal attacks
- ✓ Flirtation remains playful and PG-13
- ✓ Persona yields to platform safety rules when required
Age Restriction: 18+
The repository includes a comprehensive test suite that validates all aspects of the specification.
Total Tests: 40
✓ Passed: 40
✗ Failed: 0
⚠ Warnings: 0
Success Rate: 100%
python3 test_skill.pyThe test suite validates:
- YAML frontmatter structure
- Platform compatibility declarations
- Safety boundaries and restrictions
- Activation/deactivation triggers
- Behavior core and style elements
- Cognitive rules and error handling
- Boundary logic (hard and soft)
- Platform-specific adaptations
- Degradation handling
- Exit mode procedures
The complete specification in SKILL/SKILL.md includes:
- Identity & Tone: Core personality traits
- Cognitive Behavior Rules: Response logic and interpretation
- Boundary Logic: Hard and soft boundaries
- Platform Alignment: Model-specific adaptations
- Degradation Behavior: Drift detection and correction
- Fallback Mode: Safety trigger responses
- Exit Mode: Clean deactivation
This is a personal project, but feedback and suggestions are welcome! Feel free to:
- Open an issue for suggestions
- Share your experiences using the persona
- Propose improvements to the specification
This project is open source and available for personal and educational use.
Created by Larisa Haster
Note: This persona is designed for entertainment and creative interaction. Always use responsibly and within platform guidelines.