prompt-injection-detector | babysitter | ClaudePluginHub

Skill

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prompt-injection-detector

From babysitter

411

Description

Prompt injection detection and prevention for secure LLM applications

AI Summary

Detects and prevents prompt injection attempts in LLM applications using pattern matching and ML classifiers.

Install

1

Run in your terminal

$

npx claudepluginhub a5c-ai/babysitter

Tool Access

This skill is limited to using the following tools:

ReadWriteEditBashGlobGrep

Supporting Assets

View in Repository

README.md

Skill Content

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

Pattern Matching: Known injection patterns
ML Classifiers: Trained injection detectors
Canary Tokens: Detect instruction override
LLM-Based: Use LLM to detect manipulation
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

Links

GitHub Stats

21 forks

Updated 1 month ago

Actions

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