← 返回 Skills 市场
199
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install token-efficient-agent
功能描述
Advanced techniques for minimizing token consumption in OpenClaw operations while maintaining or improving response quality. Includes memory optimization, do...
安全使用建议
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.
功能分析
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.
能力评估
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).
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install token-efficient-agent - 安装完成后，直接呼叫该 Skill 的名称或使用
/token-efficient-agent触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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.
元数据
常见问题
Token Efficient Agent 是什么？
Advanced techniques for minimizing token consumption in OpenClaw operations while maintaining or improving response quality. Includes memory optimization, do... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 199 次。
如何安装 Token Efficient Agent？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install token-efficient-agent」即可一键安装，无需额外配置。
Token Efficient Agent 是免费的吗？
是的，Token Efficient Agent 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Token Efficient Agent 支持哪些平台？
Token Efficient Agent 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Token Efficient Agent？
由 Foinbo（@foinbo）开发并维护，当前版本 v1.0.0。
推荐 Skills