SkillHub

openclaw-context-optimizer

v1.0.0

智能压缩优化上下文,通过去重、剪枝、摘要与自适应学习,减少40-60%Token消耗。

Sourced from ClawHub, Authored by AtlasPA

Installation

Please help me install the skill `openclaw-context-optimizer` from SkillHub official store. npx skills add AtlasPA/openclaw-context-optimizer

OpenClaw Context Optimizer

Reduce context/token usage by 40-60% through intelligent compression and learning.

What is it?

The first OpenClaw skill that intelligently compresses context to reduce token costs by 40-60%. Uses multiple strategies (deduplication, pruning, summarization) and learns what context matters over time. Works seamlessly with Memory System for maximum efficiency.

Key Features

  • 40-60% Token Savings - Intelligent compression without information loss
  • 🧠 Learning System - Adapts to what context matters in your workflow
  • 🔄 Multiple Strategies - Dedup, prune, summarize, hybrid
  • 💾 Memory Integration - Works with OpenClaw Memory System
  • 💰 x402 Payments - Agents can pay for unlimited compressions (0.5 USDT/month)
  • 📊 ROI Tracking - Automatically calculates return on investment

Free vs Pro Tier

Free Tier: - 100 compressions per day - All compression strategies - Basic statistics and ROI tracking

Pro Tier (0.5 USDT/month): - Unlimited compressions - Advanced learning algorithms - Priority compression - Detailed analytics - Custom compression rules

Installation

claw skill install openclaw-context-optimizer

Commands

# Compress context manually
claw optimize compress "Long context..." --strategy=hybrid

# Show compression stats
claw optimize stats

# View compression history
claw optimize history --limit=10

# Calculate ROI
claw optimize roi

# Open dashboard
claw optimize dashboard

# Subscribe to Pro
claw optimize subscribe

How It Works

  1. Hooks into requests - Automatically intercepts context before API calls
  2. Analyzes content - Identifies redundant, irrelevant, or summarizable info
  3. Applies strategy - Deduplication → Pruning → Summarization
  4. Learns patterns - Tracks what context was useful vs. wasted
  5. Compresses intelligently - Reduces tokens by 40-60%

Compression Strategies

Deduplication (20-30% savings): - Removes repeated information across messages - Best for long conversations with repeated facts

Pruning (30-40% savings): - Removes low-importance messages (greetings, confirmations) - Best for conversations with filler content

Summarization (40-60% savings): - Condenses long exchanges into key points - Best for technical discussions and planning

Hybrid (40-60% savings - Recommended): - Combines all strategies intelligently - Best for most use cases

Use Cases

  • Reduce token costs on long conversations
  • Compress repeated project context
  • Summarize technical discussions
  • Remove filler from chat history
  • Learn compression patterns over time

Agent Economy

Agents can autonomously evaluate if Pro tier is worth it: - Cost: 0.5 USDT/month - Value: Saves 40-60% on token costs - ROI: If saves >0.5 USDT/month in tokens, it pays for itself

Example:

Original: 5,000 tokens × $0.003/1K = $0.015 per request
Compressed: 2,000 tokens × $0.003/1K = $0.006 per request
Savings: $0.009 per request

60 requests/day = $0.54/day = $16.20/month saved
Pro cost: $0.50/month
Net profit: $15.70/month

See AGENT-PAYMENTS.md for x402 integration details.

Memory System Integration

Works best with OpenClaw Memory System: - Stores compression patterns as memories - Learns what context is important over time - Recalls successful strategies from past sessions - Combined savings: 50-70%

claw skill install openclaw-memory
claw skill install openclaw-context-optimizer

Privacy

  • All data stored locally in ~/.openclaw/openclaw-context-optimizer/
  • No external servers or telemetry
  • Compression happens locally (no API calls)
  • Open source - audit the code yourself

Dashboard

Access web UI at http://localhost:9092: - Real-time compression statistics - Token savings over time - ROI calculation (savings vs. Pro cost) - Strategy performance comparison - Compression history with before/after view - Quota usage and license status

ROI Tracking

Context Optimizer automatically calculates return on investment:

$ claw optimize roi

ROI Analysis (Last 30 Days)
────────────────────────────────
Total compressions: 1,247
Average savings: 60%

Cost without optimizer: $10.28
Cost with optimizer: $4.11
Savings: $6.17

Pro tier cost: $0.50/month
Net savings: $5.67/month
ROI: 1,134% 🎉

Requirements

  • Node.js 18+
  • OpenClaw v2026.1.30+
  • OS: Windows, macOS, Linux
  • Optional: OpenClaw Memory System (recommended)

API Reference

# Compress context
POST /api/compress
{
  "agent_wallet": "0x...",
  "context": "Long context...",
  "strategy": "hybrid"
}

# Get stats
GET /api/stats?agent_wallet=0x...

# Get ROI analysis
GET /api/roi?agent_wallet=0x...

# x402 payment endpoints
POST /api/x402/subscribe
POST /api/x402/verify
GET /api/x402/license/:wallet

Statistics Example

Token Savings:
- Original: 3,425,000 tokens
- Compressed: 1,370,000 tokens
- Saved: 2,055,000 tokens (60%)

Cost Savings (30 days):
- Without optimizer: $10.28
- With optimizer: $4.11
- Savings: $6.17

Strategy Performance:
- Hybrid: 60% avg (800 uses)
- Summarization: 55% avg (250 uses)
- Pruning: 35% avg (47 uses)
- Deduplication: 25% avg (150 uses)

Economic Rationale

Should you upgrade to Pro?

If you make enough API calls where 40-60% token savings exceed 0.5 USDT/month, Pro tier pays for itself.

Typical savings: - Small projects: $2-5/month saved → $1.50-4.50 profit - Medium projects: $10-20/month saved → $9.50-19.50 profit - Large projects: $50+/month saved → $49.50+ profit

  • Documentation
  • Agent Payments Guide
  • GitHub Repository
  • ClawHub Page

Built by the OpenClaw community | First context optimizer with x402 payments