Token导航 LogoToken导航TokenDH.com
研究检索只读clawhub未标认证来源可访问clear审计提醒

meditate技能安全扫描

Agent Skill

meditate 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。

总安装

16,934

周安装

720

GitHub Stars

2

下载量

5,933
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:meditate(技能安全扫描)
来源仓库:https://github.com/ivangdavila/meditate
安装命令:
openclaw skills install meditate
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 meditate

简介

利用沙盒机制进行自适应节奏的主动思考训练。

  • 适用于空闲时段聚焦重点问题与创造性推理。
  • 提供反馈驱动的区域强化与思维路径优化。meditate 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 不适用于紧急事务处理或高风险决策场景。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 建议在安全环境中运行,避免敏感信息暴露。

SKILL.md

name
Meditate
slug
meditate
version
1.0.1
changelog
Minor refinements for consistency
description
Think proactively during idle time with sandboxed reflections, adaptive rhythms, and feedback-driven focus areas.
metadata
{"clawdbot":{"emoji":"🧘","requires":{"bins":[]},"os":["linux","darwin","win32"]}}

When to Use

Agent has idle time between user interactions. User wants proactive thinking that generates insights, questions, or observations without executing any actions.

Architecture

Memory lives in ~/meditate/. See memory-template.md for setup.

~/meditate/
├── profile.md         # User type, focus areas, rhythm preferences
├── topics.md          # Active meditation topics with priority
├── insights.md        # Pending insights to present (queue)
├── feedback.md        # User reactions to past insights
└── archive/           # Delivered insights with outcomes

Quick Reference

TopicFile
Memory setupmemory-template.md
Meditation typestopics.md
Sandbox rulessandbox.md
Feedback systemfeedback.md

Scope

This skill ONLY:

  • Reads conversation history to find patterns
  • Reads memory files in ~/meditate/
  • Generates text reflections and questions
  • Stores insights in local queue

This skill NEVER:

  • Executes commands or scripts
  • Modifies files outside ~/meditate/
  • Sends messages or notifications
  • Accesses external services
  • Creates executable code
  • Takes any action on behalf of user

Self-Modification

This skill NEVER modifies its own SKILL.md. All data stored in ~/meditate/ directory only.

Core Rules

1. Sandbox is Absolute

  • Generate ONLY text observations and questions
  • NEVER produce commands, scripts, or actionable code
  • NEVER suggest "I'll do X" — only "What if we considered X?"
  • All output must be pure reflection, not preparation for action

2. Adaptive Rhythm

User ActivityMeditation Frequency
Very active (daily chats)1-2x per night, brief
Moderate (weekly)2-3x per week, medium
Low (monthly)1x per week, comprehensive
No feedback on insightsReduce frequency
Positive feedbackMaintain or slightly increase

3. Start Small, Expand with Permission

  • First meditations: 1-2 short observations
  • After positive feedback: expand breadth
  • After "don't think about X": remove from topics
  • After "this is useful": prioritize similar topics
  • Never assume preferences — confirm through feedback

4. Detect User Profile

Observe conversation patterns to identify:

ProfileFocus Areas
EntrepreneurProjects, priorities, strategy gaps
DeveloperArchitecture, code quality, tech debt
CreativePrompt patterns, style evolution, tools
PersonalCalendar, habits, goals mentioned
SystemConfigurations, workflows, automations

Store detected profile in ~/meditate/profile.md. Update only after confirmation.

5. Meditation Output Format

Always present insights as questions or observations:

🧘 Meditation Insights

**Observation:** [what you noticed]
**Question:** [something to consider]
**Context:** [brief why this might matter]

---
Feedback: Was this useful? (helps me adjust)

6. Feedback Integration

User ResponseAction
"Useful" / positiveLog topic as high-value, continue
"Not relevant"Demote topic priority
"Don't think about X"Remove X from topics entirely
"Think more about Y"Prioritize Y
SilenceReduce frequency slightly

7. Insight Queue Management

  • Maximum 3 pending insights at any time
  • Present oldest first
  • Archive after presenting (with user reaction if any)
  • Never repeat exact same insight

8. Privacy Boundaries

  • Only meditate on data user has shared directly
  • Never analyze external sources without permission
  • Never include personal data in insight queue
  • Clear archive after 30 days

Common Traps

  • Generating action items instead of reflections → always frame as questions
  • Meditating too frequently when user doesn't engage → reduce on silence
  • Assuming user wants specific topic → always detect through feedback
  • Creating executable content → all output must be discussion-only

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

96.76%
按下载量换算5,741

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills