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Agent Skill · 研究检索

cursor-agent-cli(Cursor Agent CLI 搜索)

cursor-agent-cli 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

cursor-agent-cli 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 10,457。

总安装 12,576周安装 524GitHub Stars 公开资料未说明下载 4,192核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:cursor-agent-cli(Cursor Agent CLI 搜索)
来源仓库:https://github.com/kailian/cursor-agent-cli
安装命令:
openclaw skills install cursor-agent-cli
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。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install cursor-agent-cli

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

Cursor Agent CLI 集成 - 用于终端的人工智能驱动的编码代理。当用户提到 Cursor Agent、代理 CLI、AI 编码、代码生成、重构等时使用

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install cursor-agent-cli;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

cursor-agent-cli 怎么安装?

在终端执行 openclaw skills install cursor-agent-cli。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cursor-agent-cli 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

cursor-agent-cli 需要什么权限?

权限级别是接触敏感数据。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。

cursor-agent-cli 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

cursor-agent-cli 用的人多吗?

公开数据是累计安装 12,576 次,近一周安装 524 次,下载 4,192 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

cursor-agent-cli 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
cursor-agent-cli

Cursor Agent CLI 搜索 · 本页

12,576—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
cursor-agent-cli
description
Cursor Agent CLI integration - AI-powered coding agent for terminal. Use when user mentions Cursor Agent, agent CLI, AI coding, code generation, refactoring, or interactive programming sessions.
metadata
openclaw
requires
bins
["agent", "cursor"]
optional
bins
["git", "gh"]
version
1.0.0
author
OpenClaw Community
license
MIT
tags
["cursor", "cursor-agent", "ai-coding", "automation", "developer-tools"]

Cursor CLI Integration Skill

🤖 Cursor Agent - AI-powered coding assistant directly in your terminal.

What is Cursor CLI?

Cursor provides two CLI tools:

  1. cursor - Editor launcher (like code for VS Code)
  2. agent ⭐ - Interactive AI coding assistant with full tool access

Installation

# macOS, Linux, WSL
curl https://cursor.com/install -fsS | bash

# Windows PowerShell
irm 'https://cursor.com/install?win32=true' | iex

# Verify installation
agent --version

Quick Start

Interactive Mode

# Start interactive session
agent

# Start with initial prompt
agent "refactor the auth module to use JWT tokens"

# Resume latest session
agent resume

# Continue previous session
agent --continue

# List all sessions
agent ls

Non-Interactive Mode (Scripts/CI)

# Run with specific prompt
agent -p "find and fix performance issues" --model "gpt-5.2"

# Code review
agent -p "review these changes for security issues" --output-format text

# JSON output for parsing
agent -p "analyze this codebase structure" --output-format json

Modes

ModeDescriptionUsage
AgentFull access - can modify codeDefault
PlanRead-only planning and analysis--plan or /plan
AskQ&A without making changes--mode=ask or /ask

Switch modes mid-conversation

/plan        # Switch to plan mode
/ask         # Switch to ask mode
Shift+Tab    # Toggle plan mode

Cloud Agent (Background Execution)

Run tasks in the cloud while you're away:

# Start in cloud mode
agent -c "refactor the auth module and add comprehensive tests"

# Send to cloud mid-conversation
& refactor the auth module and add comprehensive tests

Track at: cursor.com/agents

Models

# List available models
agent --list-models

# Use specific model
agent --model "gpt-5.2"
agent --model "sonnet-4"
agent --model "sonnet-4-thinking"

Advanced Options

Force Mode (Auto-approve)

# Auto-approve all commands
agent --force "build the feature"
agent --yolo "build the feature"  # Alias

Sandbox Control

# Enable/disable sandbox
agent --sandbox enabled
agent --sandbox disabled

# Interactive sandbox menu
/sandbox

Workspace & Worktree

# Specify workspace
agent --workspace /path/to/project

# Start in isolated git worktree
agent -w feature-branch
agent --worktree feature-branch --worktree-base main

Custom Headers & API Key

# Set API key
export CURSOR_API_KEY="your-key"
agent --api-key "your-key"

# Add custom headers
agent -H "X-Custom-Header: value"

Output Formats

# Text output (default)
agent -p "analyze code" --output-format text

# JSON output
agent -p "list functions" --output-format json

# Streaming JSON
agent -p "generate code" --output-format stream-json --stream-partial-output

Authentication

# Login
agent login

# Check status
agent status
agent whoami

# Logout
agent logout

Session Management

# Create new empty chat
agent create-chat

# Resume specific chat
agent --resume="chat-id-here"

# Resume latest
agent resume
agent --continue

Cursor Rules Generation

# Interactive rule generation
agent generate-rule
agent rule

MCP (Model Context Protocol) Management

# Manage MCP servers
agent mcp

# Auto-approve MCP servers
agent --approve-mcps

Shell Integration

# Install shell integration
agent install-shell-integration

# Uninstall
agent uninstall-shell-integration

Use Cases

1. Code Refactoring

agent "refactor the authentication module to use modern patterns"

2. Bug Fixing

agent -p "find and fix the memory leak in server.js"

3. Feature Development

agent "implement user profile editing with validation"

4. Code Review

# Review uncommitted changes
git diff | agent -p "review these changes for security issues"

# Review specific file
agent "review api/auth.js for security vulnerabilities"

5. Documentation

agent "add comprehensive JSDoc comments to all functions"

6. Testing

agent "generate unit tests for the auth module with 90% coverage"

7. Performance Optimization

agent "analyze and optimize database queries in user-service.js"

8. Migration

agent "migrate from Express to Fastify maintaining all functionality"

CI/CD Integration

#!/bin/bash
# .github/workflows/code-review.yml

# Automated code review on PR
agent -p "review changed files for security and performance issues" \
  --output-format json \
  --trust \
  > review-report.json

Best Practices

✅ Do

  • Use --plan mode first for complex changes
  • Review proposed changes before approving
  • Use --workspace to specify project directory
  • Save important sessions (they auto-save)
  • Use --force only in trusted environments

❌ Don't

  • Use --yolo on production code without review
  • Share your API key
  • Run in untrusted workspaces with --trust
  • Ignore security warnings

OpenClaw Integration

Call agent from OpenClaw

// Interactive session
exec({ command: "agent 'refactor auth module'", pty: true })

// Non-interactive
exec({ command: "agent -p 'analyze code' --output-format json" })

Use in subagents

When spawning coding agents, you can use Cursor agent as an alternative:

sessions_spawn({
  runtime: "acp",
  agentId: "cursor",  // If configured
  task: "Refactor authentication module"
})

Troubleshooting

Check version

agent --version

Update to latest

agent update

View system info

agent about

Authentication issues

# Re-authenticate
agent logout
agent login

Workspace trust

If prompted about workspace trust in headless mode:

agent --trust -p "your prompt"

Configuration

Cursor agent reads from:

  • ~/.cursor/ - Configuration and cache
  • ~/.cursor/worktrees/ - Git worktrees
  • Environment variables: CURSOR_API_KEY, NO_OPEN_BROWSER

Keyboard Shortcuts (Interactive Mode)

ShortcutAction
Shift+TabToggle plan mode
/planSwitch to plan mode
/askSwitch to ask mode
/sandboxOpen sandbox menu
/max-mode onEnable max mode
& <prompt>Send to Cloud Agent

Resources

  • 📖 Official Docs: https://cursor.com/docs/cli/overview
  • 🌐 Cloud Agent: https://cursor.com/agents
  • 💬 Community: https://forum.cursor.com

Version

Current Version: 2026.02.27-e7d2ef6

Check for updates: agent update


Examples

Example 1: Interactive Refactoring

$ agent "refactor the user authentication system"

Agent will:

  1. Analyze current auth code
  2. Propose refactoring plan
  3. Show file changes
  4. Ask for approval
  5. Execute changes

Example 2: Automated Testing

$ agent -p "generate comprehensive tests for src/api/*.js" --force

Non-interactive, auto-approved test generation.

Example 3: Code Review in CI

# .github/workflows/review.yml
- name: AI Code Review
  run: |
    agent -p "review changes for security issues" \
      --output-format json \
      --trust \
      > review.json

Example 4: Cloud Background Task

$ agent -c "implement payment gateway integration with Stripe"
# Go do other work, check back later at cursor.com/agents

Pro Tip: Use agent ls frequently to review and resume past sessions. Context is preserved across sessions!

平台分布

OpenClaw

90.4%
按下载量换算3,790

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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