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tokenguard-pro令牌卫士专业版

Agent Skill

tokenguard-pro 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

8,592

周安装

351

GitHub Stars

公开资料未说明

下载量

2,780
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:tokenguard-pro(令牌卫士专业版)
来源仓库:https://github.com/sammy-the-bot/tokenguard-pro
安装命令:
openclaw skills install tokenguard-pro
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 tokenguard-pro

简介

优化 OpenClaw 代理的令牌成本,识别浪费模式并提供改进建议。

  • 适合需要精细控制上下文长度与工具使用效率的场景。
  • 通过 clawhub 安装,需确认是否读取日志或配置文件。
  • 建议检查是否会触发外部分析服务或修改运行参数。tokenguard-pro 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 可参考原始 README 了解扫描频率与建议采纳方式。

SKILL.md

name
tokenguard-pro
description
Token cost optimizer for OpenClaw agents. Scan usage patterns, identify waste (excessive context, repeated queries, inefficient tool use), and get actionable recommendations to cut AI costs by 50-95%. Use when: monthly API spend exceeds $100, reviewing agent efficiency, or optimizing high-volume workflows. NOT a replacement for budget controls.
metadata

TokenGuard Pro 🛡️

Cut your AI token costs by 50-95% without sacrificing output quality.

TokenGuard Pro analyzes your OpenClaw usage patterns to identify waste, suggest optimizations, and project your savings. Built for users spending $100–$3,600/month on AI APIs.

What It Does

  • Scans your session logs for token consumption patterns
  • Identifies waste: oversized contexts, repeated queries, model mismatches, inefficient tool chains
  • Recommends specific optimizations with estimated savings
  • Generates a detailed cost-reduction report

Installation

npx clawhub install tokenguard-pro

Quick Start

# Run full analysis on recent usage
tokenguard-analyze

# Analyze last 7 days
tokenguard-analyze --days 7

# Focus on specific waste type
tokenguard-analyze --focus caching

# Export report as JSON
tokenguard-analyze --format json --output report.json

When to Use

Use this skill when:

  • Monthly API costs exceed $100
  • You suspect context bloat in long conversations
  • Same queries repeat across sessions
  • You're using expensive models for simple tasks
  • Agents chain too many tool calls unnecessarily

Don't use this skill when:

  • Costs are already minimal (<$50/month) — overhead not worth it
  • You need real-time budget enforcement — use API provider controls
  • Looking for fine-grained per-request pricing — check provider dashboards

Common Optimizations Found

Waste TypeTypical SavingsFix Complexity
Oversized context40-60%Easy
Wrong model choice20-40%Easy
Repeated queries15-30%Medium
Inefficient tool chains10-25%Medium
Missing response caching25-50%Medium

Example Report Output

╔══════════════════════════════════════════════════════════╗
║              TOKENGARD PRO ANALYSIS REPORT               ║
╠══════════════════════════════════════════════════════════╣
║  Period Analyzed: 14 days                                ║
║  Estimated Monthly Spend: $1,240                         ║
╠══════════════════════════════════════════════════════════╣
║  TOP ISSUES FOUND:                                       ║
║  1. GPT-4 used for 78% of simple classification tasks    ║
║     → Switch to GPT-3.5: SAVE ~$420/mo                   ║
║  2. Average context size 8.2K tokens (recommend: 2K)     ║
║     → Prune old messages: SAVE ~$310/mo                  ║
║  3. 23 repeated API calls without caching                ║
║     → Add response caching: SAVE ~$180/mo                ║
╠══════════════════════════════════════════════════════════╣
║  PROJECTED SAVINGS: $910/month (73% reduction)           ║
╚══════════════════════════════════════════════════════════╝

Limitations

  • Analyzes historical patterns, not real-time spend
  • Estimates based on standard pricing; actual rates may vary
  • Cannot modify your code — provides recommendations only
  • Requires access to OpenClaw logs for analysis

Pricing

$49 one-time purchase — pays for itself if it saves you just one month of excess spend.

Support

Questions? File an issue at github.com/appincubator/tokenguard-pro

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

84.59%
按下载量换算2,352

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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