# Prompt Injection Detector

> Prompt Injection Detector is an Agent Skill for devops & security published in the a5c-ai/babysitter repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Prompt injection detection and prevention for secure LLM applications

- Skill name: `prompt-injection-detector`
- Category: [DevOps & Security](https://www.openparable.com/skill/devops-security/1)
- Source: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/ai-agents-conversational/skills/prompt-injection-detector/SKILL.md
- Repository: a5c-ai/babysitter (1,548 GitHub stars when collected)

## SKILL.md

# Prompt Injection Detector Skill

## Capabilities

- Detect prompt injection attempts
- Implement input sanitization
- Configure detection classifiers
- Design defense layers
- Implement canary token detection
- Create injection logging and alerting

## Target Processes

- prompt-injection-defense
- tool-safety-validation

## Implementation Details

### Detection Methods

1. **Pattern Matching**: Known injection patterns
2. **ML Classifiers**: Trained injection detectors
3. **Canary Tokens**: Detect instruction override
4. **LLM-Based**: Use LLM to detect manipulation
5. **Perplexity Analysis**: Unusual input patterns

### Defense Strategies

- Input preprocessing
- Prompt structure design
- Output validation
- Sandboxed execution
- Multi-layer defense

### Configuration Options

- Detection threshold
- Pattern rules
- Classifier model
- Action policies
- Alerting settings

### Best Practices

- Defense in depth
- Regular pattern updates
- Monitor false positives
- Test with red-team inputs

### Dependencies

- rebuff (optional)
- transformers
- Custom classifiers

---

Source: https://www.openparable.com/skill/devops-security/prompt-injection-detector (OpenParable). Cite the canonical URL above.