A specialized guiding skill that empowers AI agents to minimize token consumption by identifying and eliminating redundant conversation context.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install save-token
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 save-token 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 Save Token?
Save Token is a strategic guiding skill designed for the Openclaw Skills ecosystem. It serves as a behavioral framework that teaches AI agents how to recognize repeated content, manage long-running conversations, and summarize data instead of re-sending full history to LLM APIs. By implementing these patterns, developers can significantly reduce operational costs and prevent context window exhaustion.
Unlike execution scripts, this skill acts as a cognitive layer for agents. It provides the logic necessary to detect high-cost scenarios—such as long dialogues or repeated file reads—and instructs the agent to apply compression or deduplication techniques. This ensures that the most relevant information is preserved while unnecessary overhead is discarded.
Save Token Use Cases
- Reducing API billing costs during long development sessions or multi-turn chats.
- Preventing context overflow when working with large codebases or extensive log files.
- Optimizing agent performance in complex tasks requiring multiple reads of the same documentation.
- Streamlining error handling by summarizing repetitive stack traces into actionable patterns.
How Save Token Works
- The agent receives a task and automatically monitors the current context size and content redundancy.
- The skill triggers if specific thresholds are met, such as conversations exceeding 10 turns or identical blocks of 100+ characters being detected.
- The agent evaluates the active context and selects the optimal Openclaw Skills strategy, such as summarization or referencing.
- Redundant data is replaced with concise summaries or pointers to previous messages.
- The agent reports the calculated token savings to the user before proceeding with the optimized payload.
Save Token Setup
To integrate this guiding skill into your agent environment, ensure your agent has access to the Openclaw Skills directory. You can initialize the configuration using the following command:
# Install the save-token guidance into your agent workspace
openclaw install save-token
No additional API keys are required as this skill optimizes existing communication workflows.
Save Token Data Schema & Taxonomy
The skill utilizes a structured reporting format to track optimization metrics and ensures data integrity through the following taxonomy:
| Attribute | Description |
|---|---|
| Strategy Name | The specific method applied (e.g., Summarize, Reference, De-duplicate) |
| Context Before | The initial token count prior to optimization |
| Context After | The final token count sent to the API |
| Savings | The total tokens saved and the percentage of reduction |
| Source Reference | Metadata pointing to the original file or log entry that was compressed |
Save Token Advanced Features
- Multi-strategy layering: Combine summarization of old history with deduplication of identical error logs.
- Intelligent Thresholding: Custom triggers based on character counts (e.g., >5000 characters) or specific keyword detection like 'cost' or 'optimize'.
- Automated Reporting: Generates a 'Token Optimization Applied' summary for every significant context reduction.
- Guidance-First Architecture: Ensures the agent remains in control of what content is vital while following Openclaw Skills best practices.
SKILL.md
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