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Autopilot

作者 Hendrik Schmitz · GitHub ↗ · v9.0.1 · MIT-0
cross-platform ⚠ suspicious
92
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0
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当前安装
2
版本数
在 OpenClaw 中安装
/install openclaw-autopilot-v9
功能描述
OpenClaw is the high-autonomy agent mode. It proactively decides, plans, and executes tasks with deep context fusion, including a full sweep of historical me...
安全使用建议
This Autopilot skill is plausible for a high-autonomy agent but contains broad, potentially privacy-invasive instructions (full memory sweep, filesystem scan, listing cron jobs, and auto-executing 'strong' ideas). Before enabling it: (1) confirm what filesystem paths and cron data the agent may access and insist on scoping that to known app directories rather than whole filesystem; (2) require explicit, per-action user confirmation for any automatic execution of proposed ideas; (3) restrict or redact highly sensitive memory files (financial, secrets) from the memory corpus or run the skill in a sandboxed environment; (4) ask the skill author to replace vague steps like "scan filesystem" with precise, limited reads, or add explicit consent prompts; (5) enable audit logging or ask for a preview step so the agent shows planned actions before executing. Those mitigations will reduce privacy/exfiltration risk while keeping the skill's intended autonomy.
功能分析
Type: OpenClaw Skill Name: openclaw-autopilot-v9 Version: 9.0.1 The skill bundle defines a high-autonomy 'Autopilot' mode (v9) designed for proactive task execution, context-aware planning, and 'Generative Intelligence.' It utilizes a complex framework involving 'Memory Mining' (reading MEMORY.md and memory/*.md), 'Editorial Intelligence' (refining and cutting redundant content), and 'Constraint Alchemy' to handle user requests autonomously. While the agent is granted broad access to historical context and the filesystem, the instructions include explicit safeguards to respect privacy boundaries in shared contexts and adhere to system safety rules. The bundle emphasizes 'Transparent Execution' through a detailed status symbol system and lacks any indicators of malicious intent, data exfiltration, or unauthorized remote execution.
能力评估
Purpose & Capability
The name/description (high-autonomy 'Autopilot') reasonably justifies reading MEMORY.md and memory/*.md and maintaining an idea queue and worklog. However, the skill also instructs broader actions (e.g., 'scan filesystem', 'read ALL cron jobs') that go beyond typical "context fusion" and are not clearly justified by the description.
Instruction Scope
SKILL.md explicitly directs the agent to perform a "full historical memory sweep" (MEMORY.md, all memory/*.md) and to 'scan filesystem' and 'read ALL cron jobs'. Reading user memory files is consistent with purpose, but 'scan filesystem' and enumerating cron jobs are vague and broad operations that could access unrelated or sensitive data. The instructions also include automatic execution of "strong ideas" (execute immediately) which grants the agent broad discretion without requiring explicit, per-action user consent.
Install Mechanism
Instruction-only skill with no install spec or code files; nothing is downloaded or written to disk by an installer. This limits supply-chain risk compared with skills that install binaries or fetch archives.
Credentials
No environment variables, credentials, or config paths are declared/required (good). Despite that, the instructions call for scanning the filesystem, cron jobs, and worklog files — effectively requesting broad local data access even though no explicit env/config access is declared. That mismatch (no declared requirements but broad implicit file access) is worth caution.
Persistence & Privilege
always:false (normal). The skill is user-invocable and allowed to be invoked autonomously by the agent (platform default). The combination of autonomous invocation + the instruction to sweep memory and possibly auto-execute "strong ideas" increases the blast radius compared to a passive helper, so consider runtime safeguards (confirmations, visibility) before granting it active use.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install openclaw-autopilot-v9
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /openclaw-autopilot-v9 触发
  4. 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
v9.0.1
Rename published skill display name to Autopilot.
v9.0.0
Initial ClawHub release of Autopilot v9 with full memory sweep, generative initiative, editorial intelligence, and reference docs.
元数据
Slug openclaw-autopilot-v9
版本 9.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Autopilot 是什么?

OpenClaw is the high-autonomy agent mode. It proactively decides, plans, and executes tasks with deep context fusion, including a full sweep of historical me... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 92 次。

如何安装 Autopilot?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-autopilot-v9」即可一键安装,无需额外配置。

Autopilot 是免费的吗?

是的,Autopilot 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Autopilot 支持哪些平台?

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 Autopilot?

由 Hendrik Schmitz(@hendr15k)开发并维护,当前版本 v9.0.1。

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