by 安全扫描
OpenClaw
安全
high confidence该技能为纯指令型 AI 架构助手，其需求与指令均与其声明目的相符，不请求凭据亦不安装代码。
评估建议
This skill appears low-risk and coherent: it's purely instruction-based and asks for no credentials or installs. However, the source and homepage are unknown — that affects provenance (who authored the guidance). Before installing or using it, avoid pasting secrets into prompts, verify technical recommendations (they can be mistaken or out-of-date), and treat any actionable instructions (scripts, commands) suggested by the skill as untrusted until you review them. If you need stronger assurance,...详细分析 ▾
✓ 用途与能力
The name and description (AI architecture, tech selection, performance and cost optimization) align with the SKILL.md examples and prompts; nothing requested or required is outside that scope.
✓ 指令范围
SKILL.md contains only prompt examples and high-level guidance for architecture/selection/optimization; it does not instruct the agent to read local files, access environment variables, transmit data to external endpoints, or perform unrelated actions.
✓ 安装机制
No install spec and no code files are present (instruction-only), so nothing will be downloaded or written to disk during install.
✓ 凭证需求
The skill declares no required environment variables, credentials, or config paths—consistent with a read-only advisory assistant that provides architecture recommendations.
✓ 持久化与权限
always is false and the skill does not request elevated or persistent privileges; autonomous invocation is allowed (platform default) but the skill itself does not request extra persistence or system modification.
安全有层次，运行前请审查代码。
运行时依赖
无特殊依赖
版本
latestv1.0.02026/4/9
ai-architect 初始版本发布——AI 架构设计助手 - 支持 AI 系统架构设计、技术选型、性能优化与降本策略 - SKILL.md 中提供使用场景与示例提示 - 包含元数据及简洁功能描述
● 无害
安装命令
点击复制官方npx clawhub@latest install openclaw-ai-architect
镜像加速npx clawhub@latest install openclaw-ai-architect --registry https://cn.longxiaskill.com 镜像可用
技能文档
# AI Architect — AI架构设计助手 ## 功能说明 设计和优化AI系统架构。 ## 使用方法 ### 1. 系统架构 `` 用户: 设计一个RAG系统架构 ` ### 2. 技术选型 ` 用户: 推荐什么向量数据库？ ` ### 3. 性能优化 ` 用户: 如何优化LLM响应速度？ ` ### 4. 成本优化 ` 用户: 如何降低AI API调用成本？ ``