Safety Scan

This is a security wrapper around AIDefence that checks user input for prompt injection attacks, jailbreak attempts, and other adversarial patterns before you process it. You get a quick boolean safety check, detailed threat analysis with confidence scores, and the ability to train the system on new attack patterns. If you're building anything that accepts untrusted input from users or APIs, this gives you a structured way to catch injection attempts and policy violations before they hit your prompts. The stats endpoint is a nice touch for tracking detection rates over time.

skills.sh installs: 744
GitHub stars: 81.4K
last updated: Aug 21, 2026

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Install

$ npx -y skills add ruvnet/ruflo --skill safety-scan --agent claude-code

Installs into .claude/skills of the current project.

Files

Safety Scan

Scan content for prompt injection, jailbreak attempts, and unsafe patterns.

When to use

Before processing untrusted input (user submissions, API payloads, webhook data), scan it to detect prompt injection, adversarial content, or policy violations.

Steps

Quick safety check — call mcp__plugin_ruflo-core_ruflo__aidefence_is_safe with the input text for a boolean safe/unsafe result
Deep analysis — call mcp__plugin_ruflo-core_ruflo__aidefence_analyze for detailed threat classification and confidence scores
Full scan — call mcp__plugin_ruflo-core_ruflo__aidefence_scan for comprehensive multi-layer scanning
Train defenses — call mcp__plugin_ruflo-core_ruflo__aidefence_learn with confirmed threats to improve detection
View stats — call mcp__plugin_ruflo-core_ruflo__aidefence_stats for detection rates and false positive metrics