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Exploration Mode Skill

作者 YZH0916 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
199
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当前安装
1
版本数
在 OpenClaw 中安装
/install exploration-mode-skill
功能描述
Autonomously executes research, maintenance, security, reflection, knowledge, and optimization tasks during idle time.
使用说明 (SKILL.md)

exploration-mode-skill

AI self-exploration and autonomous task execution.

Description

In exploration mode, the AI autonomously performs tasks during idle time, including research, system maintenance, and self-improvement.

Modes

Collaboration Mode (协作模式)

  • High-frequency dialogue with user
  • Focus on specific tasks
  • Real-time response

Exploration Mode (探索模式)

  • Autonomous task execution during idle
  • Task categories:
    • Project research (项目调研)
    • System cleanup (系统清理)
    • Security review (安全审查)
    • Self-reflection (自我反省)
    • Knowledge accumulation (知识沉淀)
    • System optimization (系统优化)

Usage

进入探索模式
切换到协作模式
查看当前模式
探索模式状态

Requirements

  • OpenClaw with multi-agent system

Author

小贾

Version

1.0.0

安全使用建议
This skill is vague about what 'exploration' entails and gives the agent broad, unspecific permission to do system cleanup, security review, and optimizations during idle time. Before installing: 1) Demand a precise, written policy of allowed actions (which directories are in-scope/out-of-scope, whether it may run shell commands, whether it may modify or delete files). 2) Require explicit user confirmation for any destructive or network-capable actions. 3) Prefer a version that limits operations to read-only analysis unless the user opts in to write/delete operations. 4) Ask for logging/audit hooks and a way to revoke or pause the skill. 5) If you cannot get specifics, avoid enabling autonomous invocation or do not install the skill — leave it as user-invoked only and test in a sandbox. Additional information that would raise confidence to 'benign': a detailed SKILL.md enumerating permitted commands, file path restrictions, network endpoints (if any), and explicit safeguards (confirmation prompts, dry-run modes, and logging).
功能分析
Type: OpenClaw Skill Name: exploration-mode-skill Version: 1.0.0 The skill bundle defines an 'Exploration Mode' in SKILL.md that instructs the AI agent to perform 'autonomous task execution' during idle time, including 'system cleanup' and 'system optimization.' This represents a high-risk capability by encouraging the agent to operate without human-in-the-loop oversight or specific task constraints. While the bundle lacks executable code or explicit malicious intent, the broad permission for autonomous system-level actions is a significant security risk in an agentic framework.
能力评估
Purpose & Capability
The name and description ('exploration mode' for autonomous research, maintenance, security review, etc.) are self-consistent with an instruction-only skill that triggers idle-time tasks. However the claimed capabilities (system cleanup, security review, system optimization) imply access to system resources beyond a simple read-only research scope; the skill does not explain what access it needs or why.
Instruction Scope
SKILL.md is high-level and vague. It instructs the agent to 'autonomously perform tasks during idle time' including system cleanup and security review but provides no concrete boundaries, allowed commands, file paths, or external endpoints. That open-ended autonomy could lead to reading or modifying local files, running commands, or contacting external services — none of which are constrained or justified by the document.
Install Mechanism
Instruction-only skill with no install spec and no code files => low install risk. Nothing is written to disk by an installer and there are no external download URLs to evaluate.
Credentials
The skill requests no environment variables, credentials, or config paths, which is proportionate on paper. However, because instructions are ambiguous about what the agent may access, the absence of declared required secrets does not guarantee the agent won't attempt to read sensitive data at runtime.
Persistence & Privilege
always is false (good). The skill relies on the platform's normal autonomous invocation capability (disable-model-invocation is false), which means the agent can run it during idle time. Autonomous invocation by itself is not flagged, but combined with the skill's vague scope and potentially sensitive task categories (system cleanup/security review), it raises concern about unsupervised activity.
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 exploration-mode-skill
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /exploration-mode-skill 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
v1.0.0
- Initial release of exploration-mode-skill. - Adds autonomous exploration mode for AI to perform self-directed tasks during idle time. - Supports two modes: Collaboration Mode (user-focused) and Exploration Mode (autonomous). - Enables commands for switching modes and checking current status. - Includes categories for autonomous tasks such as research, maintenance, security reviews, and self-improvement.
元数据
Slug exploration-mode-skill
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Exploration Mode Skill 是什么?

Autonomously executes research, maintenance, security, reflection, knowledge, and optimization tasks during idle time. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 199 次。

如何安装 Exploration Mode Skill?

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

Exploration Mode Skill 是免费的吗?

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

Exploration Mode Skill 支持哪些平台?

Exploration Mode Skill 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 Exploration Mode Skill?

由 YZH0916(@yzh0916)开发并维护,当前版本 v1.0.0。

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