Cursor Cloud Agent

Launch and manage Cursor Cloud Agents via the official API v0. Use when user asks to delegate a coding task to Cursor's cloud agent, create a PR automatically, or track agent progress. Requires python3 and a Cursor API key stored in ~/.cursor_api_key.

Cursor Cloud Agent Skill

Manages Cursor Cloud Agents via the official API v0 (api.cursor.com). Cloud Agents run in isolated cloud VMs, onboard to your codebase, write code, test it, and deliver merge-ready PRs.

Quick Start

bash

SKILL=~/.openclaw/workspace/skills/cursor-agent/scripts/cursor_bga.py

# First-time setup: get your API key
python3 $SKILL setup

# Launch an agent and wait for it to finish
python3 $SKILL create \
  --repo owner/repo-name \
  --prompt "Add unit tests for the auth module, run tests, submit PR" \
  --auto-pr --wait

# Launch without waiting (returns immediately)
python3 $SKILL create \
  --repo owner/repo-name \
  --prompt "Refactor utils module" \
  --auto-pr

# List recent agents
python3 $SKILL list

# Check agent details (one-time query)
python3 $SKILL get --agent-id <ID>

# Poll agent until finished (blocks, prints summary when done)
python3 $SKILL check --agent-id <ID> --interval 15 --timeout 600

# Send follow-up instructions
python3 $SKILL followup --agent-id <ID> --message "Also add integration tests"

# Stop a running agent
python3 $SKILL stop --agent-id <ID>

# List available models
python3 $SKILL models

# List accessible repos
python3 $SKILL repos

Authentication

API key is read from (in priority order):

1. --api-key KEY argument
2. CURSOR_API_KEY environment variable
3. ~/.cursor_api_key file (recommended)

bash

# Save API key
echo 'your_api_key_here' > ~/.cursor_api_key
chmod 600 ~/.cursor_api_key

Get your key at: https://cursor.com/dashboard → Integrations → Generate API Key

Commands

Command	Description
create	Launch a new Cloud Agent (--wait to block until done, --no-direct to skip auto-execute hint)
list	List recent agents (filter by PR URL, limit)
get	Get agent details (status, summary, PR info)
check	Poll agent until finished, print final summary
conversation	View full agent conversation history
followup	Send additional instructions to a running agent
stop	Pause a running agent
delete	Permanently remove an agent
models	List available LLM models
repos	List accessible GitHub repositories (outputs owner/repo format for --repo)
setup	Print API key setup instructions

API Details

• Base URL: https://api.cursor.com/v0
• Auth: Basic Authentication (API key as username, empty password)
• Docs: https://cursor.com/docs/cloud-agent/api/endpoints

Workflow

When user asks to delegate a task to Cursor Cloud Agent:

Phase 1: Pre-flight Check (automatic)

The create command now runs automatic pre-flight checks before launching an agent:

1. API Key — Validates key by calling /models endpoint
2. Repo Access — Verifies the repo is in Cursor's accessible repo list
3. PR Permissions (when --auto-pr) — Checks GitHub push/admin access via gh CLI

If any check fails, the script exits with a clear error message before incurring API costs.

Use --skip-preflight to bypass these checks if needed.

You still need to confirm with the user:

• Task Prompt — Must be clear and specific enough for an agent to execute independently
• Branch/Ref — If user wants changes on a specific branch (not default)

Phase 2: Execute

5. Run create --wait --auto-pr with the confirmed repo and prompt
6. The script auto-appends a "execute directly" instruction to prevent agent from asking for confirmation (use --no-direct to disable)
7. --wait blocks until agent finishes and prints a full summary including conversation excerpt

Phase 3: Post-check

8. If check reports --auto-pr was set but no PR URL, it will print the gh pr create command as fallback — run it
9. Use followup to refine instructions if agent output needs adjustment
10. Report results back to user

Agent Status Values

• CREATING — Agent is being set up
• RUNNING — Agent is actively working
• FINISHED — Agent has completed the task
• FAILED / STOPPED — Agent terminated abnormally

Constraints

• Repo 格式 — --repo 必须为 owner/repo 格式，不支持完整 URL 或纯仓库名
• Repo 权限 — 只能操作 Cursor GitHub App 已授权的仓库，未授权仓库会返回 404
• 并发限制 — 同一账号同时运行的 Agent 数量受 Cursor 计划限制（Trial 通常为 1 个）
• 执行时长 — 单个 Agent 任务通常在 2-5 分钟完成，复杂任务可能更长；check 默认超时 600 秒
• 用量计费 — 每次 create 都会产生 API 用量费用，请勿重复创建相同任务
• Prompt 语言 — Agent 支持中英文 prompt，但代码注释和 commit message 默认跟随 prompt 语言
• Auto-PR 不保证 — --auto-pr 依赖 Cursor GitHub App 权限，可能静默失败（无报错），需在 Post-check 阶段处理

Troubleshooting

1. 认证失败 (401)

text

[ERROR] Authentication failed (401). Check your API key.

原因：API Key 无效、过期或格式错误

解决：

1. 检查 ~/.cursor_api_key 文件内容是否以 crsr_ 开头，无多余空格或换行
2. 到 https://cursor.com/dashboard → Integrations 重新生成 Key
3. python3 $SKILL models 验证新 Key 是否生效

2. 权限不足 (403)

text

[ERROR] Forbidden (403). Your plan may not support this feature.

原因：当前 Cursor 计划不支持 Cloud Agent API，或未开启 Usage-based pricing

解决：到 Cursor Dashboard 确认计划类型，确保已开启 Usage-based pricing

3. 仓库未找到 (404)

text

[ERROR] Not found (404): /agents

原因：仓库名格式错误，或 Cursor GitHub App 未授权该仓库

解决：

1. 确认 --repo 为 owner/repo 格式（如 siaslfs/ai-xxx）
2. 到 GitHub → Settings → Applications → Cursor 检查仓库授权

4. 请求限流 (429)

text

[ERROR] Rate limited (429). Please wait and try again.

原因：短时间内请求过多

解决：等待 1-2 分钟后重试。避免频繁调用 create 或短间隔轮询（check --interval 建议 ≥ 10 秒）

5. Agent 空转（只输出方案不执行）

现象：Agent 状态 FINISHED，但 filesChanged 为 0，对话记录显示 Agent 在等待确认

原因：Prompt 被 Agent 理解为需要先确认再执行

解决：

1. 默认已自动追加"直接执行"指令，正常情况不会发生
2. 如果使用了 --no-direct，去掉该参数重试
3. 也可以用 followup --message "直接执行，不需要确认" 追加指令

6. Auto-PR 未生效

现象：Agent FINISHED，有代码变更，但无 PR URL

原因：Cursor GitHub App 缺少创建 PR 的权限

解决：check 会自动输出 gh pr create 回退命令，直接执行即可。或到 GitHub 手动创建 PR

Requirements

• Active Cursor account with Trial or Paid plan
• Usage-based pricing enabled
• GitHub account connected with repository permissions