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token-saver令牌保存程序

Agent Skill

token-saver 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

187,199

周安装

7,647

GitHub Stars

9

下载量

60,564
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:token-saver(令牌保存程序)
来源仓库:https://github.com/rubenaquispe/token-saver
安装命令:
openclaw skills install token-saver
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install token-saver

简介

通过模型感知优化降低 OpenClaw AI 成本。具有基于模型上下文窗口的动态压缩预设、智能文件压缩以及具有回退功能的强大模型检测。支持 Claude、GPT-4、Gemini、DeepSeek 等。

SKILL.md

name
token-saver
version
3.0.0
description
Reduce OpenClaw AI costs with model-aware optimization. Features dynamic compaction presets based on your model's context window, intelligent file compression, and robust model detection with fallback. Supports Claude, GPT-4, Gemini, DeepSeek, and more.

Token Saver v3

💡 Did you know? Every API call sends your workspace files (SOUL.md, USER.md, MEMORY.md, AGENTS.md, etc.) along with your message. These files count toward your context window, slowing responses and costing real money on every message.

Token Saver v3 is model-aware — it knows your model's context window and adapts recommendations accordingly. Using Gemini's 1M context? Presets scale up. On GPT-4o's 128K? Presets adjust down.

What's New in v3

Featurev2v3
Compaction presetsFixed (80K/120K/160K)Dynamic (% of model's context)
Model detectionFragile, env-onlyRobust fallback chain
Context windowsNot trackedFull registry (9 models)
Model infoHardcoded pricingJSON registry, easy updates
Already-optimizedRe-compressedSmart bypass

Commands

CommandWhat it does
/optimizeFull dashboard — files, models, context usage %
/optimize tokensCompress workspace files (auto-backup)
/optimize compactionChat compaction control (model-aware)
/optimize compaction balancedApply balanced preset (60% of context)
/optimize compaction 120Custom threshold (compact at 120K)
/optimize modelsDetailed model audit with registry
/optimize revertRestore backups, disable persistent mode

Features

📊 Model-Aware Dashboard

Shows current model, context window, and usage percentage:

🤖 Model: Claude Opus 4.5 (200K context)
   Detected: openclaw.json

📊 Context Usage: [████████░░░░░░░░░░░░] 42% (84K/200K)

📁 Workspace File Compression

Scans all .md files, shows token count and potential savings. Smart bypass skips already-optimized files.

File-aware compression:

  • SOUL.md — Light compression, keeps personality language
  • AGENTS.md — Medium compression, dense instructions
  • USER.md / MEMORY.md — Heavy compression, key:value format
  • PROJECTS.md — No compression (user structure preserved)

💬 Dynamic Compaction Presets

Presets adapt to your model's context window:

Preset% of ContextClaude 200KGPT-4o 128KGemini 1M
Aggressive40%80K51K400K
Balanced60%120K77K600K
Conservative80%160K102K800K
Off95%190K122K950K

🤖 Model Registry

24+ models with context windows, pricing, and aliases:

  • Claude: Opus 4.6 (1M), Opus 4.5, Sonnet 4.5, Sonnet 4, Haiku 4.5, Haiku 3.5 (200K)
  • OpenAI: GPT-5.2, GPT-5.1, GPT-5-mini, GPT-5-nano (256K), GPT-4.1, GPT-4o (128K), o1, o3, o4-mini
  • Gemini: 3 Pro (2M), 2.5 Pro, 2.0 Flash (1M)
  • Others: DeepSeek V3 (64K), Kimi K2.5 (128K), Llama 3.3 70B, Mistral Large

🔍 Robust Model Detection

Detection priority:

  1. Runtime injection (--model=...)
  2. Environment variables (SKILL_MODEL, OPENCLAW_MODEL)
  3. Config file (~/.openclaw/openclaw.json)
  4. File inference (TOOLS.md, MEMORY.md mentions)
  5. Fallback: Claude Sonnet 4 (safe default)

Unknown model handling:

  • Strict version matching — opus-6.5 won't fuzzy-match to opus-4.5
  • Unknown models get safe defaults (200K context) + warning
  • Easy to add new models to scripts/models.json

📝 Persistent Mode

Adds writing guidance to AGENTS.md for continued token efficiency:

FileWriting Style
SOUL.mdEvocative, personality-shaping
AGENTS.mdDense instructions, symbols OK
USER.mdKey:value facts
MEMORY.mdUltra-dense data

Safety

  • Auto-backup — All modified files get .backup extension
  • Integrity > Size — Never sacrifices meaning for smaller tokens
  • Smart bypass — Skips already-optimized files
  • Revert anytime/optimize revert restores everything
  • No external calls — All analysis runs locally

Installation

clawhub install token-saver --registry "https://www.clawhub.ai"

Version History

  • 3.0.0 — Model registry, dynamic presets, robust detection, smart bypass
  • 2.0.1 — Chat compaction, file-aware compression, persistent mode
  • 1.0.0 — Initial release

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

86.44%
按下载量换算52,352

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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