safety-scan

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

Safety Scan

安全扫描

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

扫描内容中的提示注入、越狱尝试以及不安全模式。

When to use

使用场景

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

在处理不可信输入（用户提交内容、API负载、Webhook数据）之前，对其进行扫描，以检测提示注入、对抗性内容或违反策略的情况。

Steps

操作步骤

Quick safety check — call
```
mcp__claude-flow__aidefence_is_safe
```
with the input text for a boolean safe/unsafe result
Deep analysis — call
```
mcp__claude-flow__aidefence_analyze
```
for detailed threat classification and confidence scores
Full scan — call
```
mcp__claude-flow__aidefence_scan
```
for comprehensive multi-layer scanning
Train defenses — call
```
mcp__claude-flow__aidefence_learn
```
with confirmed threats to improve detection
View stats — call
```
mcp__claude-flow__aidefence_stats
```
for detection rates and false positive metrics

快速安全检查 — 调用
```
mcp__claude-flow__aidefence_is_safe
```
接口，传入输入文本，获取安全/不安全的布尔值结果
深度分析 — 调用
```
mcp__claude-flow__aidefence_analyze
```
接口，获取详细的威胁分类和置信度评分
全面扫描 — 调用
```
mcp__claude-flow__aidefence_scan
```
接口，进行全方位的多层扫描
训练防御模型 — 调用
```
mcp__claude-flow__aidefence_learn
```
接口，传入已确认的威胁样本，提升检测能力
查看统计数据 — 调用
```
mcp__claude-flow__aidefence_stats
```
接口，获取检测率和误报指标

Threat categories

威胁类别

Prompt injection (direct and indirect)
Jailbreak attempts
Data exfiltration patterns
Instruction override attacks
Social engineering prompts

提示注入（直接和间接）
越狱尝试
数据泄露模式
指令覆盖攻击
社会工程学提示