# Save Token

> 💰 Save Token | Token 节省器 Guiding skill that helps agents identify and avoid sending duplicate context to LLM APIs. Teaches agents to recognize repeated content and summarize instead of re-sending. 指导 Agent 识别重复内容，避免重复发送，从而节省 Token。

- Skill: `yesilsin-netizen/save-token` (Agent Skill, multi-file: 5 files)
- Install (CLI): `npx skillmds@latest add yesilsin-netizen/save-token`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yesilsin-netizen/save-token/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: MIT
- Author: yesilsin-netizen (https://skillmd.com/u/yesilsin-netizen)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yesilsin-netizen/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

**重要：Agent 应在每次任务开始前主动检查以下条件：**

```
每次任务开始前的检查流程：

1. 检查对话轮数：是否 > 10 轮？
2. 检查上下文大小：是否 > 5000 字符？
3. 检查文件读取：是否有文件被读取超过 1 次？
4. 检查用户意图：用户是否提到 "token" / "成本" / "省钱"？

如果满足任一条件 → 应用 save-token 策略 → 报告优化结果 → 继续执行任务
```

**建议：Agent 可以在回复用户前，先问自己：**
- "我的上下文是否已经很长？"
- "是否有重复内容我可以省略？"
- "我可以用摘要代替重发吗？"

## 📊 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