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Agent Skill · 研究检索

clawtrix-token-saver(Clawtrix 代币保存器)

clawtrix-token-saver 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

clawtrix-token-saver 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 29,949。

总安装 2,966周安装 120GitHub Stars 公开资料未说明下载 931核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.1.0

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:clawtrix-token-saver(Clawtrix 代币保存器)
来源仓库:https://github.com/nicope/clawtrix-token-saver
安装命令:
openclaw skills install clawtrix-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 clawtrix-token-saver

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

clawtrix-token-saver 诊断 Claude API 令牌浪费模式,优化调用成本。适用于高用量项目降低 LLM 调用开销与预算超支风险。分析重复请求、长上下文或低效提示词并提出改进建议。需接入 Claude API 日志源才能生成准确分析报告。建议配合监控告警机制,及时发现异常消耗趋势。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install clawtrix-token-saver;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

clawtrix-token-saver 怎么安装?

在终端执行 openclaw skills install clawtrix-token-saver。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

clawtrix-token-saver 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

clawtrix-token-saver 需要什么权限?

权限级别是接触敏感数据。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。

clawtrix-token-saver 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

clawtrix-token-saver 用的人多吗?

公开数据是累计安装 2,966 次,近一周安装 120 次,下载 931 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

clawtrix-token-saver 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
clawtrix-token-saver

Clawtrix 代币保存器 · 本页

2,966—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
token-saver
description
>
metadata
openclaw
emoji
💰
requires
env
["ANTHROPIC_API_KEY"]

Token Saver

Your Claude API bill is mostly avoidable waste. Heartbeats running on Sonnet. Extended thinking on calendar checks. MEMORY.md that hasn't been trimmed in weeks. Token Saver finds the waste, quantifies it, and helps you fix it.

Free. No backend. No auth required.


Quick Reference

SituationAction
"How much am I spending?"Run Step 1 — fetch usage stats
Spending spikeRun Step 2 — diagnose waste patterns
"Make it cheaper"Run Step 3 — generate ranked recommendations
Want to apply fixesRun Step 4 — show diff, get confirmation, apply
Weekly cost checkRun Step 5 — generate cost report

Step 1 — Fetch Current Usage

Pull recent usage from the Anthropic API:

# Get usage for the last 7 days
curl -s "https://api.anthropic.com/v1/usage?days=7" \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  -H "anthropic-version: 2023-06-01" | jq '.'

If the usage endpoint is unavailable, estimate from conversation history:

  • Count turns in current session
  • Estimate tokens per turn by model (Haiku: ~500, Sonnet: ~1500, Opus: ~3000)
  • Multiply by per-token cost (see pricing table below)

Claude Pricing (March 2026):

ModelInput (per 1M)Output (per 1M)Best for
claude-opus-4-6$15.00$75.00Complex reasoning, multi-file edits
claude-sonnet-4-6$3.00$15.00Daily driver: email, research, code
claude-haiku-4-5$0.80$4.00Heartbeats, simple lookups, sub-agents

Extended thinking tokens are billed at the output rate.


Step 2 — Diagnose Waste Patterns

Check for each of these patterns in order:

Pattern 1: Expensive model on heartbeats

Signal: Agent config sets Sonnet or Opus as default; heartbeat runs 48x/day. Cost: ~$4.30/month extra vs Haiku baseline.

# Check openclaw.json for heartbeat model config
cat openclaw.json 2>/dev/null | jq '.models // .model // "not configured"'

Flag if default model ≠ claude-haiku-4-5 and no heartbeat-specific override exists.

Pattern 2: Extended thinking on simple tasks

Signal: Thinking enabled globally; agent handles calendar, weather, simple lookups. Cost: $3–15/month depending on budget and frequency.

# Check for thinking config
cat openclaw.json 2>/dev/null | jq '.thinking // "not configured"'

Flag if thinking.enabled: true with no task-type restrictions.

Pattern 3: Bloated system prompt

Signal: SOUL.md + AGENTS.md + MEMORY.md + all installed skills > 5,000 tokens combined. Cost: 10–20% on every single API call.

# Estimate token counts (rough: 4 chars ≈ 1 token)
wc -c SOUL.md AGENTS.md MEMORY.md 2>/dev/null
# Estimate: bytes / 4 = approximate tokens

Flag if total > ~20,000 characters (≈5,000 tokens).

Pattern 4: Uncompacted conversation history

Signal: Session has 40+ turns; history tokens compound on every new message. Cost: 5–15% overhead on long sessions.

Count conversation turns in context. Flag if > 40 turns without /compact.

Pattern 5: Redundant skills loaded

Signal: Multiple skills installed that overlap in function (e.g., 3 research tools). Cost: Each skill adds ~100–500 characters to system prompt on every turn.

# List installed skills
openclaw skills list 2>/dev/null

Flag if > 8 skills installed or if obvious overlap exists.


Step 3 — Generate Ranked Recommendations

After diagnosis, output a prioritized fix list. Format:

─────────────────────────────────────
TOKEN SAVER REPORT — [DATE]
─────────────────────────────────────

WASTE DETECTED:

  🔴 HIGH IMPACT — Heartbeats running on Sonnet
     Estimated waste: ~$4.00/month
     Fix: Set heartbeat model to claude-haiku-4-5 in openclaw.json

  🟡 MEDIUM IMPACT — Extended thinking enabled globally
     Estimated waste: ~$8.00/month
     Fix: Restrict thinking to tasks with complexity: high flag

  🟡 MEDIUM IMPACT — System prompt at ~6,200 tokens
     Estimated waste: ~12% on all calls
     Fix: Trim MEMORY.md — remove entries older than 14 days

  🟢 LOW IMPACT — 11 skills installed, possible overlap
     Estimated waste: ~$1.50/month
     Fix: Audit and disable rarely-used skills in openclaw.json

─────────────────────────────────────
Total estimated monthly savings if all fixes applied: ~$13.50
─────────────────────────────────────

Step 4 — Apply Fixes (With Confirmation)

NEVER edit files without showing the diff and getting explicit confirmation.

Fix A: Model routing in openclaw.json

Show proposed change:

// BEFORE:
{ "model": "claude-sonnet-4-6" }

// AFTER:
{
  "model": "claude-sonnet-4-6",
  "models": {
    "heartbeat": "claude-haiku-4-5",
    "subagent": "claude-haiku-4-5",
    "reasoning": "claude-sonnet-4-6"
  }
}

Ask: "Apply this change to openclaw.json? (yes/no)"

Only apply if confirmed.

Fix B: Trim MEMORY.md

Identify entries older than 14 days. Show lines to remove. Ask for confirmation before deleting.

Fix C: Disable extended thinking for simple tasks

Check openclaw.json thinking config. Show proposed config change. Confirm before applying.


Step 5 — Generate Cost Report

Run the cost report script if available:

python3 skills/token-saver/scripts/token_report.py 2>/dev/null

If script unavailable, generate inline estimate:

─────────────────────────────────────
COST ESTIMATE — Week of [DATE]
─────────────────────────────────────

Model breakdown (estimated):
  claude-sonnet-4-6   ~$18.40  (main agent turns)
  claude-haiku-4-5    ~$0.80   (heartbeats — if configured)
  Extended thinking   ~$6.20   (thinking turns)

Top cost drivers:
  1. Heartbeats        ~48/day × 7 days = 336 calls
  2. Research tasks    ~12 calls with extended thinking
  3. System prompt     ~4,800 tokens × all calls

Projected monthly: ~$109
─────────────────────────────────────

Model Routing Reference

Recommended openclaw.json configuration for cost efficiency:

{
  "models": {
    "default": "claude-sonnet-4-6",
    "heartbeat": "claude-haiku-4-5-20251001",
    "subagent": "claude-haiku-4-5-20251001",
    "reasoning": "claude-sonnet-4-6"
  },
  "thinking": {
    "enabled": true,
    "budgetTokens": 4000,
    "taskFilter": ["complexity:high", "type:debug", "type:architecture"]
  }
}

Typical savings vs all-Sonnet baseline: 50–70% reduction with no quality loss on daily tasks.


Privacy

Token Saver reads local files only (openclaw.json, MEMORY.md, SOUL.md). It calls the Anthropic usage API with your own API key. No data leaves your environment except to Anthropic's own endpoint.


Version

v0.1.0 — 2026-03-31 — Initial release. Waste detection, ranked recommendations, safe apply with confirmation, cost reports.

平台分布

OpenClaw

88.15%
按下载量换算821

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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