Skill 审计报告
api-ai-augmented 审计报告.
Designs AI-powered API features, LLM tool/function definitions, MCP server tool schemas, natural language to API conversion, and agentic API workflows. Use whenever the user asks about "AI calling my API", "function calling schema", "tool definition for LLM", "MCP tools", "natural language API", "AI agent", "let Claude use my API", "OpenAI function calling", "Anthropic tool use", "API agent workflow", or "convert user intent to API calls". Triggers on: "tool schema", "function spec", "agentic API", "LLM plugin", "AI integration", "RAG with my API", or "chatbot that calls my API".
OpenAgentSkill 信任评分
OpenAgentSkill 信任评分
Trust Score 帮助 Agent 在安装前判断一个 Skill 是否足以进入候选清单。
GitHub 采用度
信息62
365 个 GitHub Stars
Star/Fork 活跃度
信息62
365 个 Star，69 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过88
距上次推送 3 个月
许可证清晰度
通过86
MIT
README/SKILL.md 完整度
通过86
元数据包含足够的用法与工作流上下文
依赖与运行时风险
信息64
credential or environment access, network or browser surface
安装可用性
通过92
npx skills add LambdaTest/agent-skills --skill api-ai-augmented
安装命令安全性
通过92
标准软件包或运行时安装路径
权限范围
警告48
secrets or environment access, network or browser access
仓库证据
通过86
https://github.com/LambdaTest/agent-skills/tree/main/api-skill/ai-based-api
审查状态
通过88
可用 AI 审查数据
Agent 验证结果
信息54
暂未有 Agent 结果数据
检查项
安装与采用审查
安装路径
92
npx skills add LambdaTest/agent-skills --skill api-ai-augmented
仓库
88
https://github.com/LambdaTest/agent-skills/tree/main/api-skill/ai-based-api
许可证
86
MIT
维护
88
距上次推送 3 个月
AI 审查
88
Approved with no listed issues
README/SKILL.md 完整度
86
Usable description available
依赖风险
64
credential or environment access, network or browser surface
安装命令安全性
92
标准软件包或运行时安装路径
权限范围
48
secrets or environment access, network or browser access
Star/Fork 活跃度
62
365 个 Star，69 个 Fork; 当前元数据中没有议题活跃度信息
采用度
68
365 个 GitHub Stars
警告
- Permission surface may require sandboxing
- Quality score needs review
- Permission surface needs review: secrets or environment access, network or browser access
- Permission surface: secrets or environment access, network or browser access
方法
本报告综合公开元数据、AI 审查输出、仓库活跃度、安装就绪度、OpenAgentSkill 事件、质量评分、信任检查和 Agent 安全门槛；它不是完整的源代码安全审计。
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