A specialized utility designed to audit and minimize token consumption in OpenClaw workflows through intelligent configuration and context management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-token-save
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 openclaw-token-save 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 OpenClaw Token Optimizer?
The OpenClaw Token Optimizer is a technical framework designed to help developers drastically reduce their API operating costs. By performing deep audits of context injection and workspace files, this skill identifies exactly where tokens are being wasted. It focuses on trimming high-volume files like AGENTS.md, SOUL.md, and MEMORY.md to keep the context window lean without sacrificing agent intelligence.
Implementing this specific entry from the Openclaw Skills library allows for a prioritized rollout plan that targets high-ROI improvements first. From context pruning to model tiering and subagent orchestration, it provides the necessary logic to scale agentic operations while maintaining a sustainable budget.
OpenClaw Token Optimizer Use Cases
- Reducing monthly API spend for high-frequency or long-running agent deployments.
- Speeding up agent response times by shrinking bloated context windows and workspace injections.
- Configuring openclaw.json for optimal prompt caching and heartbeat settings to maximize hit rates.
- Trimming long-term memory files and workspace logs to maintain high-quality, relevant outputs.
How OpenClaw Token Optimizer Works
- Identify and scope the existing configuration file location and all injected workspace files.
- Establish a token baseline to categorize costs across system prompts, tool schemas, and conversation history.
- Execute input reduction by trimming workspace files to essential bullets and rotating daily memory logs.
- Apply technical optimizations including context pruning, TTL settings, and cache-warming heartbeats.
- Optimize model strategy by shifting routine tasks to cheaper models using subagent patterns.
OpenClaw Token Optimizer Setup
To begin optimizing your workspace, ensure your configuration is accessible and your provider supports advanced features. Follow these steps:
- Locate your configuration at
~/.openclaw/openclaw.jsonor your project root. - Verify provider support for prompt caching and memory search.
- Integrate the skill into your current environment.
openclaw install openclaw-token-optimizer
- Run the audit workflow to generate a concrete config patch and savings report.
OpenClaw Token Optimizer Data Schema & Taxonomy
The optimizer analyzes and modifies the following metadata and file structures:
| Component | File Impact | Optimization Strategy |
|---|---|---|
| Core Config | openclaw.json |
Enables cacheRetention, heartbeat, and compaction |
| Workspace Files | AGENTS.md, SOUL.md |
Reduction to essential rules and persona bullets |
| Durable Memory | MEMORY.md |
Archiving inactive facts to prevent history growth |
| Daily Logs | memory/YYYY-MM-DD.md |
Pruning or rotating based on defined TTL settings |
OpenClaw Token Optimizer Advanced Features
- Automated heartbeat logic to keep model caches warm for up to 55 minutes using low-cost models.
- Context pruning with specific TTL windows to match prompt cache retention periods.
- Memory search integration via qmd to replace full-file injection with indexed retrieval.
- Model tiering and subagent support to isolate parallel tasks into cost-effective execution layers.
SKILL.md
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