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smithery-ai-clismithery AI CLI 搜索

Agent Skill

smithery-ai-cli 用于查找、检索和筛选相关信息,适合在 Local Agent 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

89,174

周安装

3,680

下载量

29,976
Local Agent

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:smithery-ai-cli(smithery AI CLI 搜索)
来源仓库:https://smithery.ai
仓库路径:smithery-ai-cli
安装命令:
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。当前暂无明确安装命令,请以来源页面说明为准。

简介

smithery-ai-cli 用于查找、检索和筛选相关信息,适合在 Local Agent 中快速定位候选结果。

  • 适用于需要根据关键词、任务场景或来源线索进行信息检索的场景。
  • 可结合来源仓库和原始 README 核验具体用法和功能实现。
  • 安装前需确认权限范围和维护状态,避免依赖不稳定组件。
  • 注意实际功能可能与描述不符,建议通过测试验证其真实能力边界。

SKILL.md

Smithery

The marketplace for AI agents. Connect to 100K+ tools and skills instantly.

Use smithery --help and <command> --help for flags, arguments, and full examples. This skill focuses on concepts and canonical workflows.

Quick Start

# 1. Install
npm install -g @smithery/cli

# 2. Authenticate (requires human to confirm in browser)
smithery auth login

# 3. Search for MCP servers
smithery mcp search "github"

# 4. Connect to a server (URL or qualified name both work)
smithery mcp add "https://github.run.tools" --id github

# 5. Browse tools (tree view — drill into groups by passing the prefix)
smithery tool list github
smithery tool list github issues.

# 6. Inspect tool input/output JSON schema
smithery tool get github issues.create

# 7. Call a tool
smithery tool call github issues.create '{"repo": "owner/repo", "title": "Bug"}'

Core Concepts

Namespaces

A namespace is the workspace boundary for Smithery resources. Servers, connections, and skills all live in a namespace. Use one namespace per app/environment (for example, my-app-dev, my-app-prod), then set it as your active context. Canonical flow:

smithery namespace list
smithery namespace create my-app-prod
smithery namespace use my-app-prod

For namespace-specific flags and overrides, run smithery namespace --help and smithery mcp --help.

Connect (MCP Connections)

A connection is a managed, long-lived MCP session. Smithery Connect handles OAuth flow, credential storage, token refresh, and session lifecycle. Connection status model:

  • connected: ready to list/call tools
  • auth_required: human must open authorization URL
  • error: inspect details and retry/fix config

Canonical flow (single user-scoped connection):

smithery mcp add https://github.run.tools \
  --id user-123-github \
  --metadata '{"userId":"user-123"}'

smithery mcp list --metadata '{"userId":"user-123"}'
smithery tool list user-123-github

If CLI shows auth_required, tell your human to open the URL and then retry.

Token Scoping

Service tokens are restricted credentials for browser/mobile/agent usage. Never pass a full API key to untrusted code. Policy mental model:

  • A token policy is one or more constraints
  • In the CLI, pass one JSON object per --policy flag
  • Fields inside one constraint are AND-ed (more fields = narrower)
  • Lists and multiple constraints are OR-ed (more entries = wider)

Canonical user-scoped token:

smithery auth token --policy '{
  "namespaces": "my-app",
  "resources": "connections",
  "operations": ["read", "execute"],
  "metadata": { "userId": "user-123" },
  "ttl": "1h"
}'

Request-level Tool Restrictions (rpcReqMatch, experimental)

Use rpcReqMatch to restrict specific MCP JSON-RPC requests (regex by request path). Important: connection IDs are not in the JSON-RPC body, so combine:

  • metadata for connection-level restriction
  • rpcReqMatch for method/tool restriction

Canonical combined restriction:

smithery auth token --policy '{
  "resources": "connections",
  "operations": "execute",
  "metadata": { "connectionId": "my-github" },
  "rpcReqMatch": {
    "method": "tools/call",
    "params.name": "^issues\\."
  },
  "ttl": "30m"
}'

Piped Output

When output is piped, Smithery commands emit JSONL (one JSON object per line):

smithery tool list github --flat --limit 1000 | grep label

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Local Agent

90.73%
按下载量换算27,197

安全审计

Socket

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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