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Install in OpenClaw
/install token-efficient-agent
Description
Advanced techniques for minimizing token consumption in OpenClaw operations while maintaining or improving response quality. Includes memory optimization, do...
Usage Guidance
This skill appears to be what it claims: a set of runtime instructions for reducing token usage. Before enabling or using it, consider: (1) Tool and permission scope — the skill explicitly tells the agent to read memories and fetch documents (feishu_fetch_doc/memory_get). Make sure the agent's tool permissions align with what you want it to access. (2) Privacy risk — techniques increase automated access to user data; review logs or run in a limited/test environment first. (3) Autonomy — the skill can be invoked by the agent as usual; if you want to avoid automated reads, restrict when or how the agent may call it. (4) Because it is instruction-only, no code is installed on disk, but the agent will still perform API/tool calls at runtime. If you don't want the agent to access memories or documents, do not enable this skill.
Capability Analysis
Type: OpenClaw Skill
Name: token-efficient-agent
Version: 1.0.0
The token-efficient-agent skill bundle provides legitimate architectural guidance and strategies for an AI agent to optimize token usage within the OpenClaw environment. The SKILL.md file details efficient patterns for memory retrieval, document processing, and tool call fusion using standard platform tools (e.g., memory_search, feishu_fetch_doc) without any indicators of malicious intent, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
Name, description, and the SKILL.md content align: guidance focuses on minimizing token usage via memory querying, document fetching, and tool-call strategies. There are no unrelated required env vars, binaries, or installs.
Instruction Scope
Instructions direct the agent to use memory_search/memory_get and document fetch APIs (e.g., feishu_fetch_doc) with precise offsets and summaries. This stays within the stated scope but explicitly instructs accessing user memory files and external documents, which is expected for the purpose but is privacy-sensitive. The guidance gives the agent discretion about when to escalate from summaries to full fetches—this is functional but means the agent may read user data during use.
Install Mechanism
Instruction-only skill with no install spec and no code files; lowest disk/write risk. Nothing is downloaded or installed.
Credentials
No environment variables, credentials, or config paths are requested by the skill. However, the techniques rely on the agent's access to memory and document tools (and thus to whatever credentials/permissions those tools use). That access is proportional to the skill's purpose but is sensitive because it reads user data.
Persistence & Privilege
always:false and normal invocation flags. The skill does not request persistent presence or modify other skills; it is user-invocable and can be called autonomously per platform defaults (not a unique privilege).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install token-efficient-agent - After installation, invoke the skill by name or use
/token-efficient-agent - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release introducing advanced, OpenClaw-specific token efficiency strategies:
- Provides architecture-aware techniques for minimizing token usage in memory, document, and tool operations.
- Details hierarchical memory querying, semantic document pagination, and tool call fusion to reduce redundant data transfer.
- Outlines contextual summarization cascades and predictive context preloading for proactive efficiency.
- Includes practical examples and token-saving metrics per technique for immediate application.
Metadata
Frequently Asked Questions
What is Token Efficient Agent?
Advanced techniques for minimizing token consumption in OpenClaw operations while maintaining or improving response quality. Includes memory optimization, do... It is an AI Agent Skill for Claude Code / OpenClaw, with 199 downloads so far.
How do I install Token Efficient Agent?
Run "/install token-efficient-agent" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Token Efficient Agent free?
Yes, Token Efficient Agent is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Token Efficient Agent support?
Token Efficient Agent is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Token Efficient Agent?
It is built and maintained by Foinbo (@foinbo); the current version is v1.0.0.
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