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Context Cleaner

Automatically compress large contexts and clean up expired sessions, sub-agents, and temporary files.
自动压缩大型上下文并清理过期的会话、子代理及临时文件。
liujc007 liujc007 来源
未分类 clawhub v1.0.0 1 版本 100000 Key: 无需
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概述

Context Cleaner Skill

Automatically manage session context size by compressing large contexts and cleaning up expired sessions, sub-agents, and temporary files.

Quick Reference

SituationAction
-----------------
Session exceeds size limitCompress early messages
Sub-agent idle > 30minTerminate automatically
Old sessions (> 7 days)Archive or delete
Large context (> 10K tokens)Summarize and compress

Setup

No special setup required. The skill automatically:

  1. Monitors session sizes - Checks if current session context is growing too large
  2. Terminates idle sub-agents - Stops sub-agents that haven't been used recently
  3. Archives old sessions - Moves completed sessions to archive
  4. Compresses context - Replaces verbose message chains with summaries

Usage

Automatic Operation

The skill runs automatically during heartbeat checks when context size exceeds thresholds.

Manual Trigger

Request cleanup anytime:

"Clean up context now"
"Remove expired sessions"
"Compress my context"

API Call

Use sessions_list and subagents tools internally. The skill orchestrates:

  1. List all sessions
  2. Check sub-agent status
  3. Terminate idle sub-agents
  4. Compress large contexts
  5. Archive old sessions

Operation Logic

Context Compression

When a session's context exceeds thresholds:

  1. Identify compressible regions - Early messages, completed task steps
  2. Generate summaries - Create concise summaries of message chains
  3. Replace verbose content - Keep only essential information
  4. Preserve key context - Maintain user preferences, decisions, ongoing tasks

Session Cleanup

Expired session criteria:

  • Idle time: No activity for 7+ days
  • Completed tasks: Sessions that finished long ago
  • Orphaned sessions: No associated work

Sub-Agent Management

Termination criteria:

  • Idle: No messages sent/received for 30+ minutes
  • Failed tasks: Sub-agents that encountered repeated errors
  • Manual request: User explicitly requests cleanup

Best Practices

  1. Preserve working sessions - Never clean active sessions
  2. Keep recent history - Maintain last 24-48 hours of messages
  3. Archive not delete - Move to archive before deleting
  4. Respect user context - Don't clean sessions with pending tasks
  5. Notify before major cleanup - Warn before deleting important sessions

Integration Points

Heartbeat Integration

Add to HEARTBEAT.md:

## 上下文管理
- [ ] 检查会话大小
- [ ] 清理过期子代理
- [ ] 压缩过大上下文

Cron Integration

Schedule regular cleanup:

# Weekly full cleanup
cron add -name "weekly-context-clean" -schedule "0 3 * * 0" -payload "Compress contexts and clean expired sessions"

Compression Strategies

Message Chaining

Convert:

User: Ask question
Model: Answer with detailed explanation
User: Follow-up
Model: More details

To:

User: Ask question
Model: ✅ Answered with 4-point explanation
User: Follow-up
Model: Continued discussion

Context Summarization

Summarize long conversation threads:

  • Key decisions: User preferences, important conclusions
  • Task progress: Completed items, pending actions
  • Context notes: Relevant background information

Session Archiving

Archive strategy:

  1. Check completion status - Is session finished?
  2. Verify no active work - No pending tasks
  3. Check age - Created more than 7 days ago?
  4. Move to archive - Session archive directory
  5. Update metadata - Record completion details

File Structure

workspace/
├── .archive/          # Archived sessions
│   ├── 2026-04/
│   │   ├── session-uuid-1/
│   │   └── session-uuid-2/
│   └── 2026-05/
├── .cache/            # Temporary compression data
└── .cleanup/          # Cleanup logs and reports
    └── cleanup-report.md

Safety Checks

Before any cleanup operation:

  1. Verify session status - Not actively being used
  2. Check pending tasks - No incomplete operations
  3. User preferences - Respect "keep forever" flags
  4. Recent activity - Last message within threshold
  5. Archive option - Offer archive before delete

Example Outputs

Cleanup Report

## Context Cleanup Report

**Time**: 2026-04-17 10:43
**Operations**:
- ✅ Compressed 3 large contexts (saved 15K tokens)
- ✅ Terminated 2 idle sub-agents
- ✅ Archived 1 old session (30 days)
- ⚠️ Skipped 1 active session (pending task)

**Impact**:
- Context size: Reduced by 25%
- Free tokens: ~50K available
- Active sessions: 5 (unchanged)

Related Skills

  • self-improvement: Log learnings about context management
  • taskflow: Manage multi-step cleanup tasks
  • memory: Keep important context in long-term memory

Note: This skill works alongside existing OpenClaw tools without requiring special permissions.

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-05-07 14:30 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

安全,无风险
查看报告

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