An intelligent context compression engine that reduces token costs by up to 60% through pruning, deduplication, and summarization.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-context-optimizer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install openclaw-context-optimizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Context Optimizer is a sophisticated tool designed for the Openclaw Skills ecosystem to tackle the challenge of high token consumption in LLM interactions. By implementing a multi-layered compression strategy—including deduplication, pruning, and summarization—it ensures that only the most relevant information is sent to the model. This not only lowers operational costs but also improves the overall quality of agent responses by focusing the model's attention on critical data.
Built to integrate seamlessly with the OpenClaw Memory System, this skill adapts to your specific workflow over time. It identifies patterns in how context is utilized and learns which pieces of information are vital versus redundant. For developers and teams scaling AI agents, this utility provides a tangible Return on Investment (ROI) by systematically shrinking the financial footprint of every API request within the suite of Openclaw Skills.
To begin optimizing your workflows, install the skill via the CLI:
claw skill install openclaw-context-optimizer
Ensure you have Node.js 18+ and OpenClaw v2026.1.30 or higher installed. You can also combine this with other Openclaw Skills for enhanced memory capabilities.
The skill maintains local records for history and ROI calculations. Data is stored securely in the user's local directory:
| File/Path | Description |
|---|---|
~/.openclaw/openclaw-context-optimizer/ |
Root directory for all local skill data. |
history.json |
Stores past compression events including original vs. compressed token counts. |
stats.db |
Local database for ROI tracking and strategy performance metrics. |
patterns/ |
Directory containing learned context importance patterns. |
Loading
A specialized GitHub Action that automatically scans agent workspaces and Openclaw Skills for security vulnerabilities like exposed secrets and prompt injection.

stripfeed is a specialized utility that fetches web content and converts it into clean, AI-optimized Markdown while providing precise token counts.

Identify and remediate fail-open vulnerabilities, hardcoded secrets, and permissive security settings before they reach production.

A comprehensive intelligence aggregator for Openclaw Skills providing real-time updates on Kaspa development, community activity, and ecosystem milestones.

A tamper-evident audit trail that records and verifies every workspace change in a hash-chained log for AI agents.

A persistent memory layer that enables AI agents to remember facts, preferences, and context across sessions using semantic search and autonomous payments.








































