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Prompt injection detector

Skill a5c-ai/babysitter/library/specializations/ai-agents-conversational/skills/prompt-injection-detector

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Install
npx -y skills add a5c-ai/babysitter --skill prompt-injection-detector

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Prompt injection detection and prevention for secure LLM applications

SKILL.md

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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

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