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lobster-santa-method
Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.
A legitimate documentation-only skill describing a multi-agent adversarial verification framework. No executable code, network requests, credential access, or malicious patterns detected.
技能名称lobster-santa-method
分析耗时20.3s
引擎pi
可以安装
This skill is safe to use. It provides a methodology for quality assurance of AI outputs using dual independent reviewers.
资源类型声明权限推断权限状态证据
文件系统 NONE NONE No file operations referenced
网络访问 NONE NONE No network requests documented
命令执行 NONE NONE No shell execution in pseudocode patterns
环境变量 NONE NONE No env access documented
技能调用 READ READ ✓ 一致 Uses Agent tool to spawn reviewers (documented as Pattern A)
剪贴板 NONE NONE No clipboard access
浏览器 NONE NONE No browser operations
数据库 NONE NONE No database access

目录结构

1 文件 · 12.5 KB · 306 行
Markdown 1f · 306L
└─ 📝 SKILL.md Markdown 306L · 12.5 KB

安全亮点

✓ Documentation-only skill with no executable code
✓ No network requests or external communications
✓ No credential harvesting or sensitive data access
✓ No shell execution or command injection vectors
✓ No obfuscation techniques (base64, eval, etc.)
✓ Clear description of purpose and methodology
✓ No download or install components
✓ Pattern A references Claude Code Agent tool for subagent spawning - documented and intentional