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save-token

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作者: admin | 来源: ClawHub
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V 1.0.1
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save-token

# 💰 Save Token | Token 节省器 > A guiding skill that teaches agents how to save tokens by avoiding duplicate context. > > 指导 Agent 如何通过避免重复上下文来节省 Token 的技能。 ## ⚠️ Important Clarification | 重要说明 | Clarification | 说明 | |---------------|------| | **This is a guiding skill** | Skill itself cannot modify agent's runtime context | | **Agent performs the action** | Agent follows the guidance to optimize context | | **这是一个指导性 Skill** | Skill 本身不能修改 Agent 的运行时上下文 | | **由 Agent 执行操作** | Agent 遵循指导来优化上下文 | ## 🎯 When to Use | 使用时机 **Agent 自动触发条件**(满足任一即应调用): - 用户提到 "token" / "成本" / "省钱" / "费用" - 对话已超过 10 轮 - 同一文件被读取超过 1 次 - 任务前上下文超过 5000 字符 | Situation | Action | 场景 | 操作 | |-----------|--------|------|------| | User mentions "token" or "cost" | Apply save-token strategies | 用户提到 token 或成本 | 应用 save-token 策略 | | Long conversation (>10 turns) | Summarize old context | 长对话(>10轮) | 摘要旧上下文 | | File read multiple times | Reference previous read, don't re-read | 文件被多次读取 | 引用之前的读取,不重复读取 | | Repeated error messages | Summarize error pattern, don't repeat full error | 重复错误消息 | 摘要错误模式,不重复完整错误 | ## 📋 Token-Saving Strategies | 节省 Token 策略 ### Strategy 1: Summarize Instead of Re-sending | 策略1:摘要代替重发 **When**: Old conversation context is no longer directly relevant **当**:旧对话上下文不再直接相关时 **Do**: - Summarize key points from earlier conversation - Replace full history with concise summary - Keep only the most relevant recent messages **做法**: - 摘要早期对话的关键点 - 用简洁摘要替换完整历史 - 只保留最相关的最近消息 **Example**: ``` ❌ Bad: Re-sending 50 turns of conversation (10,000+ tokens) ✅ Good: "Previous context: User was analyzing stock investment strategies. Key decisions made: prioritize low P/E, check cash flow. Now focusing on: specific company analysis." ``` ### Strategy 2: Reference Instead of Repeat | 策略2:引用代替重复 **When**: Same file/content needs to be referenced again **当**:需要再次引用同一文件/内容时 **Do**: - Don't re-read the entire file - Reference the key information already extracted - Only read new sections if needed **做法**: - 不要重新读取整个文件 - 引用已提取的关键信息 - 仅在需要时读取新部分 **Example**: ``` ❌ Bad: Reading the same 200KB file again ✅ Good: "As we found earlier in the file, the revenue is $50M..." ``` ### Strategy 3: De-duplicate Identical Blocks | 策略3:去重相同块 **When**: Identical text appears multiple times in context **当**:相同文本在上下文中多次出现时 **Do**: - Identify identical blocks (≥100 characters) - Keep only the first occurrence - Note what was removed **做法**: - 识别相同块(≥100字符) - 只保留首次出现 - 记录删除了什么 **Example**: ``` ❌ Bad: Same error message appears 5 times (500 chars × 5 = 2500 chars) ✅ Good: "[Error message appeared 5 times, showing once]: Connection timeout..." ``` ### Strategy 4: Compress Verbose Output | 策略4:压缩冗长输出 **When**: Tool output or file content is very long **当**:工具输出或文件内容很长时 **Do**: - Extract only relevant parts - Summarize the rest - Note the source for reference **做法**: - 只提取相关部分 - 摘要其余部分 - 记录来源以供参考 **Example**: ``` ❌ Bad: Including full 1000-line log file ✅ Good: "Log file (1000 lines): Key errors on lines 45, 78, 234. Pattern: Connection drops every 5 minutes. Full log available if needed." ``` ## 🔄 Workflow | 工作流程 ``` 1. Agent receives task 2. Agent checks context size and duplicate content 3. If context > threshold OR duplicates found: a. Apply appropriate strategy from above b. Report token savings to user 4. Proceed with optimized context ``` ## 📊 Reporting Format | 报告格式 When applying token-saving strategies, inform the user: ``` 💡 Token Optimization Applied: - Strategy: [Strategy Name] - Context before: X tokens - Context after: Y tokens - Saved: Z tokens (P%) ``` ## ⚠️ What This Skill Cannot Do | 此 Skill 不能做的事 | Cannot Do | Reason | 不能做 | 原因 | |-----------|--------|--------|------| | Directly modify context | Skill is guidance, not execution | 直接修改上下文 | Skill 是指导,不是执行 | | Automatically delete content | Agent must decide what to keep | 自动删除内容 | Agent 必须决定保留什么 | | Guarantee exact savings | Depends on implementation | 保证精确节省量 | 取决于实现方式 | ## ✅ What This Skill Does | 此 Skill 能做的事 | Does | Description | 能做 | 描述 | |------|-------------|------|------| | Provide strategies | Teaches how to save tokens | 提供策略 | 教如何节省 Token | | Identify opportunities | Helps recognize when to apply | 识别机会 | 帮助识别何时应用 | | Guide implementation | Shows best practices | 指导实现 | 展示最佳实践 | ## 📝 Version | 版本 - Version: 1.1.0 - Updated: 2026-03-12 - Change: Clarified that this is a guiding skill, not an execution script

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 save-token-1776117456 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 save-token-1776117456 技能

通过命令行安装

skillhub install save-token-1776117456

下载

⬇ 下载 save-token v1.0.1(免费)

文件大小: 5.02 KB | 发布时间: 2026-4-15 14:14

v1.0.1 最新 2026-4-15 14:14
save-token 1.0.1 Changelog

- Clarified that this is a guiding skill; it offers advice and strategies but does not modify agent runtime context directly.
- Added detailed explanations and examples of token-saving strategies for agents to follow.
- Improved documentation for both English and Chinese readers.
- Removed references to direct automated deduplication; agents are now expected to apply guidance themselves.
- Deleted the scripts/dedupe.js file as code-based deduplication is no longer part of the skill.

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