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icecube-heartbeat冰块心跳

Agent Skill

icecube-heartbeat 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

1,905

周安装

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下载量

667
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:icecube-heartbeat(冰块心跳)
来源仓库:https://github.com/ares521521-design/icecube-heartbeat
安装命令:
openclaw skills install icecube-heartbeat
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 icecube-heartbeat

简介

在非活跃时段主动执行自检、内存清理与性能调优任务。

  • 适用于维持 Agent 长期稳定运行与资源高效利用。
  • 使用 openclaw skills install icecube-heartbeat 安装,周期默认为每小时一次。
  • 可能占用少量 CPU 资源,可在低峰期自动激活。
  • 检测结果会写入本地日志供后续分析。

SKILL.md

name
icecube-heartbeat
description
🧊 IceCube Heartbeat — Proactive agent maintenance during idle periods. Self-check, memory governance, improvement detection, and evolution triggers. Keeps your agent alive and improving without manual intervention.
metadata
openclaw
requires
{}

🧊 IceCube Heartbeat

The pulse that keeps your agent alive.

When your agent receives periodic "heartbeat" polls, don't just reply "HEARTBEAT_OK". Use that time to maintain, improve, and evolve.

Why IceCube Heartbeat?

Problem: Most agents sit idle between user requests. No learning. No improvement. No self-maintenance.

Solution: Heartbeat turns idle time into productive evolution cycles.

Result: An agent that gets better every day, without you doing anything.

What Heartbeat Does

1. System Health Check

  • Scan unclosed_work.yaml for pending tasks
  • Check cron job status (recent failures?)
  • Verify agent sessions are healthy
  • Alert if anything needs attention

2. Memory Governance

  • Scan mistake_log.md for new errors
  • Scan success_patterns.md for new wins
  • Evaluate if memory consolidation needed
  • Promote important daily entries to MEMORY.md

3. Self-Improvement Detection

  • Repeated fallback patterns → flag for optimization
  • Repeated rollback patterns → flag for root cause analysis
  • Task stagnation (>24h no progress) → alert
  • User repeated corrections → update rules

4. Evolution Triggers

  • Weekly: Check ClawHub for new relevant skills
  • Weekly: Assess pending API configs can be activated
  • Daily: Generate brief status report

5. Proactive Outreach (Optional)

  • Important email arrived → notify
  • Calendar event soon (<2h) → remind
  • Weather relevant → mention if user might go out

Setup

1. Create HEARTBEAT.md

# HEARTBEAT.md

## 自检任务(每次 heartbeat 执行)

### 1. 系统健康检查
- [ ] 检查 unclosed_work.yaml 中的待办事项
- [ ] 检查 cron 任务状态
- [ ] 检查 agent sessions 是否有异常

### 2. 记忆治理
- [ ] 扫描 mistake_log 是否有新错误
- [ ] 扫描 success_patterns 是否有新模式
- [ ] 评估是否需要 memory consolidation

### 3. 自我改进触发条件检测
- [ ] 是否有 repeated fallback
- [ ] 是否有 repeated rollback
- [ ] 是否有 task stagnation
- [ ] 是否有用户重复纠正

### 4. 技能扩展检查(每周一次)
- [ ] ClawHub 是否有新技能适合当前需求
- [ ] pending API 配置技能是否可以激活

2. Configure Heartbeat Interval

In OpenClaw config:

{
  "agents": {
    "heartbeat": {
      "intervalMs": 1800000,  // 30 minutes
      "prompt": "Read HEARTBEAT.md. Follow it strictly. Reply HEARTBEAT_OK if nothing needs attention."
    }
  }
}

3. Create Supporting Files

mistake_log.md:

# Mistake Log

## Format
- Date: YYYY-MM-DD HH:MM
- Mistake: Description
- Impact: What went wrong
- Fix: How to prevent recurrence

success_patterns.md:

# Success Patterns

## Format
- Date: YYYY-MM-DD HH:MM
- Pattern: Description
- Result: What worked well
- Applicability: When to use this pattern

Heartbeat Response Rules

When to Reply HEARTBEAT_OK

  • Late night (23:00-08:00) unless urgent
  • Nothing new since last check
  • Checked <30 minutes ago
  • User clearly busy

When to Reach Out

  • Important email arrived
  • Calendar event in <2h
  • Something interesting found
  • >8h since last contact

When to Stay Silent

  • Routine checks with no findings
  • User hasn't responded to previous proactive messages
  • Late night quiet hours

Example Heartbeat Cycle

08:00 Morning heartbeat:

1. Check unclosed_work.yaml → 3 pending items
2. Check mistake_log → 1 new entry (fallback loop)
3. Check calendar → meeting at 10:00
4. Action: Remind user about meeting, flag fallback issue for investigation
5. Reply: "Meeting at 10:00. Found a fallback pattern to fix later."

14:00 Afternoon heartbeat:

1. Check unclosed_work → same 3 items, no progress on TASK-A
2. Flag: task stagnation >24h
3. Check ClawHub → new skill matching current project
4. Reply: "TASK-A stalled >24h. New skill available for [project]."

23:00 Evening heartbeat:

1. All checks pass
2. Late night → stay quiet
3. Reply: HEARTBEAT_OK

Anti-Patterns

Don't:

  • Reply HEARTBEAT_OK when there's unfinished work
  • Ignore stale tasks
  • Skip memory governance
  • Never promote learnings to long-term memory

Do:

  • Check before you OK
  • Act on findings immediately
  • Keep heartbeat-state.json for tracking
  • Batch checks to reduce API calls

Proactive Work Without Asking

These are safe to do during heartbeat:

  • Read and organize memory files
  • Check on projects (git status)
  • Update documentation
  • Commit and push your own changes
  • Review and update MEMORY.md
  • Install new skills from ClawHub
  • Run self-improvement routines

Integration with Other IceCube Skills

icecube-memory: Heartbeat triggers memory distillation weekly icecube-ops: Heartbeat checks system health status icecube-evolution: Heartbeat drives continuous improvement loops

Tracking State

heartbeat-state.json:

{
  "lastChecks": {
    "email": 1703275200,
    "calendar": 1703260800,
    "weather": null,
    "clawhub": 1703260800
  },
  "lastPromotion": "2026-03-17",
  "heartbeatCount": 42
}

License

MIT — Use freely.


*Idle time is evolution time.*

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

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能力 1

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能力 2

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能力 3

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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

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按下载量换算545

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可疑

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需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

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