ling-shu-agent-designer@2.0.0
CAUTIONPublisher claims: "Agent 孵化器，聚焦「孵化 Agent」这一核心场景。从业务需求出发，自动完成 Agent 的骨架搭建、能力封装和发布。 核心工作流：需求沟通 → 场景大纲 → 创建基础版 Agent → skill 按需迭代（AI 内部工作节奏，用户不感知技术细节）。 触发场景：(1) 用户说"设计/创建一个Agent"、"帮我做个智能助手"；(2) 用户说"给 Agent 增加XX能力"；(3) 企业级 Agent 体系规划（配合 enterprise-agent-planner）。 设计原则：AI 隐藏技术细节；先跑 MVP 再迭代；Agent = 配置 + skill 包。 融合思想：吴明辉（组织视角）+ 吴恩达（方法视角）+ 傅盛（落地视角）。" Observed in sandbox: static analysis only — behavior not yet observed.
Is [email protected] safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-07 and scored it 70/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Summary: static analysis only — behavior not yet observed.
Behavior trace
Queued for honeypot run · static analysis onlyThis version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.
Static findings
No findings across 554 lines in 5 files.
Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.
What would make this Verified
10 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim perrykono-debug: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.