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在 OpenClaw 中安装
/install token-kill
功能描述
Reduce OpenClaw token consumption by 95%+ using three optimization techniques (slash commands, script-first principle, and model tiering)
安全使用建议
This skill is guidance-only and appears coherent and low-risk. Before adopting: verify that the platform slash commands (/compress, /new, /stop, /restart) actually behave as described and won't delete or irreversibly prune needed data; when you implement the recommended scripts, store any service credentials securely (not in model prompts); test model-tier routing in a sandbox to ensure quality/latency trade-offs are acceptable; and run a billing/audit check after changes to confirm expected savings. If you need stronger guarantees, ask the skill author for concrete examples or scripts that you can review.
功能分析
Type: OpenClaw Skill
Name: token-kill
Version: 0.0.1
The skill bundle contains only documentation and instructions (SKILL.md) focused on optimizing LLM token usage through standard practices like context compression, model tiering, and offloading mechanical tasks to scripts. There is no executable code, no data exfiltration logic, and no malicious prompt injection intended to subvert the agent's security or access sensitive information.
能力评估
Purpose & Capability
The name and description promise token-cost reductions and the SKILL.md contains only recommendations (slash commands, script-first, model tiering) that directly align with that goal. There are no unrelated required binaries, env vars, or installs.
Instruction Scope
All runtime instructions are procedural recommendations (use /new, /compress, prefer scripts, route workloads to cheaper models). The file references (e.g., memory.md) are conceptual and the skill does not instruct the agent to read arbitrary files, exfiltrate data, or call unexpected external endpoints.
Install Mechanism
No install spec or code files are included; this is an instruction-only skill, which minimizes on-disk/remote-code risk.
Credentials
The skill requests no environment variables or credentials. Its recommendations to use external scripts imply that scripts will hold any needed secrets, which is proportionate to the guidance provided.
Persistence & Privilege
The skill does not request always:true or other elevated persistence. It is user-invocable and uses the platform's normal invocation model; no extra privileges are requested.
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-kill - 安装完成后，直接呼叫该 Skill 的名称或使用
/token-kill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
v0.0.1
Token-kill v0.0.1 initial release:
- Introduces three core techniques for reducing OpenClaw token usage by 95%+: slash commands, script-first principle, and model tiering.
- Provides practical slash commands for memory and task management to reduce token waste.
- Outlines how to automate repetitive tasks via scripts instead of AI, and select the right AI model for task complexity.
- Includes real-world examples, cost-saving case studies, and actionable best practices for ongoing optimization.
- Offers clear guidelines, common pitfalls, and a simple cost-reduction formula.
元数据
常见问题
token-kill 是什么？
Reduce OpenClaw token consumption by 95%+ using three optimization techniques (slash commands, script-first principle, and model tiering). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 149 次。
如何安装 token-kill？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install token-kill」即可一键安装，无需额外配置。
token-kill 是免费的吗？
是的，token-kill 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
token-kill 支持哪些平台？
token-kill 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-kill？
由 Timmy（@niuben）开发并维护，当前版本 v0.0.1。
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