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在 OpenClaw 中安装
/install agent-autopilot
功能描述
Self-driving agent workflow with heartbeat-driven task execution, day/night progress reports, and long-term memory consolidation. Integrates with todo-manage...
安全使用建议
Install only in a dedicated, bounded workspace. Define clear stop conditions and require review before MEMORY.md cleanup, git commits, external tool use, or high-impact file changes. Verify the copied todo-management skill source before enabling heartbeat automation.
功能分析
Type: OpenClaw Skill
Name: agent-autopilot
Version: 1.4.1
The skill bundle instructs the AI agent to execute shell commands, specifically `bash {todoBaseDir}/scripts/todo.sh ...`. While this is necessary for its stated purpose of task management, the template `bash {todoBaseDir}/scripts/todo.sh entry create "..." --group="{项目名}"` in `SKILL.md` and `HEARTBEAT.md` presents a shell injection vulnerability. If the AI agent, when autonomously creating new tasks, generates a `{项目名}` value from untrusted input or its own analysis that contains shell metacharacters, this could lead to arbitrary command execution. This is a significant risk, even if not intentionally malicious by the skill developer. The skill also grants the agent broad file system and `git` access, which, while necessary for its function, increases the attack surface if the agent is compromised or misdirected.
能力评估
Purpose & Capability
The purpose is coherent: heartbeat-driven task execution, progress reporting, and memory consolidation. The concern is that the core capability is an open-ended autonomous loop that must keep progressing until goals are reached.
Instruction Scope
The runtime instructions tell the agent not to wait for direction, to create new tasks when goals are unmet, and to continue on every heartbeat, but they provide limited stop criteria, approval gates, or containment for what work may be performed.
Install Mechanism
Installation is a visible user-run shell script that creates workspace skills and memory directories, initializes memory/report-state.json, and copies todo-management from a local or global install. It is not obfuscated, but the copied dependency is not pinned or verified.
Credentials
Workspace todo writes, daily logs, reports, and MEMORY.md edits are purpose-aligned, but examples also encourage automatic git commits, external tool delegation, and ongoing project changes without clear review boundaries.
Persistence & Privilege
The skill creates durable operational state and instructs periodic updates to report-state.json and MEMORY.md, including cleanup of old memory content, which can steer future agent behavior across sessions.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install agent-autopilot - 安装完成后，直接呼叫该 Skill 的名称或使用
/agent-autopilot触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.4.1
缩短description，修复ClawHub页面渲染溢出问题
v1.4.0
三个定时任务全部补充完整驱动性提示词：①自驱动循环有明确行为指令(立刻工作/不要HEARTBEAT_OK/自己判断) ②汇报有完整判断逻辑(白天/夜间/首报/周期/总结/即时) ③记忆维护有完整流程指令(提炼/清理/更新)；HEARTBEAT模板从简单清单升级为可直接复制使用的完整提示词
v1.3.0
重构为3个明确的定时任务：①自驱动执行循环(每次heartbeat~30min) ②进度汇报(白天每N小时/夜间静默) ③长期记忆维护(每6小时)；简化report-state.json为扁平结构；统一HEARTBEAT.md模板格式
v1.2.0
重构汇报机制：固定时间窗口改为白天/夜间间隔模式，白天每N小时汇报+夜间静默，report-state.json简化，去除茄子/老大等硬编码，所有模板通用化，新增多种汇报格式（首报/周期/总结/紧急），记忆维护与汇报周期联动
v1.1.0
新增定时进度汇报(晨报/午报/晚报/夜报)、长期记忆维护(每日/每3天/每周)、report-state.json 状态跟踪、完整 HEARTBEAT.md 模板、init.sh 自动初始化汇报状态
v1.0.0
初始发布：自驱动agent工作流，集成heartbeat+todo+汇报机制
元数据
常见问题
Agent Autopilot 是什么？
Self-driving agent workflow with heartbeat-driven task execution, day/night progress reports, and long-term memory consolidation. Integrates with todo-manage... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 5783 次。
如何安装 Agent Autopilot？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install agent-autopilot」即可一键安装，无需额外配置。
Agent Autopilot 是免费的吗？
是的，Agent Autopilot 完全免费（开源免费），可自由下载、安装和使用。
Agent Autopilot 支持哪些平台？
Agent Autopilot 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Agent Autopilot？
由 edoserbia（@edoserbia）开发并维护，当前版本 v1.4.1。
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