Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse, generating context-aware remediation, or testing video accessibility. Supports 3-tier browser cascade with graceful degradation.
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Use when working on security-sensitive code to catch secrets, eval(), innerHTML, and other dangerous patterns before they're written. Activate with /security-watch for real-time security scanning.
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
When activated, scans every file write for common security anti-patterns and blocks dangerous code from being committed.
Flags or blocks writes containing:
eval(), Function(), innerHTML, dangerouslySetInnerHTMLhttp:// URLs, disabled TLS verification, * CORS origins/security-watch
{
"hooks": {
"PreToolUse": [
{
"matcher": "Write|Edit",
"hook": ".claude/skills/security-watch/scripts/scan-security.sh"
}
]
}
}
#!/bin/bash
# scan-security.sh
CONTENT="$1"
ISSUES=0
# Secrets detection
SECRET_PATTERNS=(
'AKIA[0-9A-Z]{16}' # AWS Access Key
'sk-[a-zA-Z0-9]{48}' # OpenAI API Key
'ghp_[a-zA-Z0-9]{36}' # GitHub Personal Token
'password\s*[:=]\s*["\x27][^"\x27]+' # Hardcoded passwords
'BEGIN (RSA |EC )?PRIVATE KEY' # Private keys
'sk_live_[a-zA-Z0-9]+' # Stripe secret key
)
for pattern in "${SECRET_PATTERNS[@]}"; do
if echo "$CONTENT" | grep -qP "$pattern"; then
echo "BLOCKED: Potential secret detected matching pattern: $pattern"
ISSUES=$((ISSUES + 1))
fi
done
# Dangerous functions
DANGER_PATTERNS=(
'\beval\s*\('
'\bFunction\s*\('
'\.innerHTML\s*='
'dangerouslySetInnerHTML'
'child_process.*exec\('
'\$\{.*\}.*(?:SELECT|INSERT|UPDATE|DELETE)'
)
for pattern in "${DANGER_PATTERNS[@]}"; do
if echo "$CONTENT" | grep -qP "$pattern"; then
echo "WARNING: Dangerous pattern detected: $pattern"
ISSUES=$((ISSUES + 1))
fi
done
if [ $ISSUES -gt 0 ]; then
echo "Found $ISSUES security issues. Review before proceeding."
exit 1
fi
eval() — use // security-watch:ignore comment还没有评价。欢迎分享你的使用感受。
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Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse, generating context-aware remediation, or testing video accessibility. Supports 3-tier browser cascade with graceful degradation.
中文简介正在准备中。当前显示原文说明。
WCAG 2.2 compliance testing, screen reader validation, and inclusive design verification. Use when ensuring legal compliance (ADA, Section 508), testing for disabilities, or building accessible applications for 1 billion disabled users globally.
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Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
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Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
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Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
中文简介正在准备中。当前显示原文说明。