A comprehensive health-monitoring framework for AI agents to ensure context hygiene, security, and system stability.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install heartbeat-checklist
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install heartbeat-checklist using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Heartbeat Checklist Skill?
The Heartbeat Checklist Skill is a maintenance protocol designed to keep AI agents running efficiently through periodic checks conducted 2-4 times daily. It focuses heavily on context management, ensuring that the agent does not exceed token limits while maintaining long-term memory. By integrating this skill into the broader collection of Openclaw Skills, developers can automate session summaries, security audits, and proactive system optimizations that prevent performance degradation over time.
Heartbeat Checklist Skill Use Cases
- Managing large-scale coding sessions where context window management is critical.
- Automating security scans for injection attempts and behavioral integrity.
- Maintaining local system health by cleaning stale files and monitoring resource usage.
- Synchronizing agent learnings into structured memory files like MEMORY.md.
How Heartbeat Checklist Skill Works
- The agent triggers the heartbeat protocol periodically throughout the workday.
- It executes context hygiene routines, checking session status and alerting the user when limits (60%, 75%, or 85%) are reached.
- A security audit is performed to scan for injection attempts and verify API file integrity.
- Self-healing mechanisms diagnose errors and restart critical daemons like Hydra if inactive.
- System hygiene tasks are run to clear resource pressure and organize temporary files.
- Finally, memory maintenance distills recent notes and learnings into persistent storage.
Heartbeat Checklist Skill Setup
To initialize the Heartbeat Checklist within your Openclaw Skills environment, ensure you have the necessary system timers active.
# Enable the resource monitor timer
systemctl --user enable --now resource-monitor.timer
# Check current status of the agent context
session_status
Configure your memory directory structure to support daily logging:
mkdir -p memory/
touch memory/$(date +%Y-%m-%d).md
Heartbeat Checklist Skill Data Schema & Taxonomy
The skill organizes data across session-specific and persistent files to maintain historical accuracy and system integrity.
| File Path | Description | Metadata Content |
|---|---|---|
memory/YYYY-MM-DD.md |
Daily Session Summary | Context logs, task progress, and milestones. |
MEMORY.md |
Core Knowledge Base | Distilled learnings and long-term agent state. |
memory/error-log-YYYY-MM-DD.md |
Diagnostic Log | Error records, daemon restarts, and system fixes. |
apis.md |
API Configuration | Strictly protected system-level API definitions. |
Heartbeat Checklist Skill Advanced Features
- Automated Context-Threshold Alerts: Escalating warnings at 60%, 75%, and 85% context usage to prevent data loss.
- Hydra Daemon Auto-Restart: Continuous monitoring and self-healing for critical background processes via status checks.
- System Hygiene Automation: Automated cleanup of stale browser tabs, old screenshots, and high-memory applications.
- Proactive Delight Triggers: Built-in logic to identify and suggest value-add opportunities or time-sensitive tasks to the human user.
SKILL.md
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