token-use-optimizerAI Agent 项目的 Token 消耗审计与系统性优化。提供四层诊断框架、六步优化 SOP、 自动化审计脚本。适用于任何使用 Rules + Memory + Knowledge + Skills 架构的 AI Agent 项目(如 CodeBuddy、Cursor、Windsurf 等)。 This ski...
Install via ClawdBot CLI:
clawdbot install louisecxqiu-glitch/token-use-optimizerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 23, 2026
针对使用 Rules+Memory+Knowledge+Skills 架构的 AI Agent 项目,自动化审计每轮固定 Token 消耗,诊断并优化冗余规则、过时记忆、庞大知识库,可降低 30% 以上固定开销。适用于日常开发维护中降低成本。
当 AI Agent 对话轮次多、累计开销高时,通过主动 /compact 命令、精准读取、子代理分流等策略,显著降低长期运行费用。适合客服、对话式 AI 产品。
拆分大型知识文件为精简路由表加详细内容,实现按需加载,每轮减少 1000-3000 tokens。适合需要维护大量文档的 AI 知识助手。
在部署生产环境前,使用自动化基线脚本评估每轮 Token 开销,预测月度成本并提供优化建议,避免后期费用超支。
通过优化 Token 消耗直接降低客户使用成本,使 SaaS 产品在定价上更具竞争力,同时提升用户留存率。
为企业提供定制化 Token 审计与优化方案,包括自动化脚本部署、规则重构、培训等,按项目或按效果收费。
作为插件或内置功能提供给 AI Agent 平台用户,按用量或按月订阅收费。
💬 Integration Tip
可直接运行 scripts/token_audit.py 对项目进行基线扫描,并根据输出的分层报告逐步优化。建议优先处理 L1 Rules 以快速见效。
Scored May 23, 2026
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