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agent-cost-monitorAgent 成本监控

Agent Skill

agent-cost-monitor 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

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下载量

14,221
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:agent-cost-monitor(Agent 成本监控)
来源仓库:https://github.com/neal-collab/agent-cost-monitor
安装命令:
openclaw skills install agent-cost-monitor
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 agent-cost-monitor

简介

实时监控所有 OpenClaw 代理的代币使用情况和估计成本,并提供警报和建议,以保持在预算范围内并优化支出。

SKILL.md

name
agent-cost-monitor
version
1.1.0
description
Real-time token usage and cost tracking across all your OpenClaw agents — alerts, budgets, and optimization tips
emoji
💰
tags

Agent Cost Monitor — Know What Your Agents Cost

Track token usage, costs, and efficiency across all your OpenClaw agents in real-time. Get alerts before you blow your budget.

The Problem

Running multiple agents is powerful — but expensive if you're not watching:

  • Which agent is burning the most tokens?
  • Are heartbeats wasting money on expensive models?
  • Is caching actually saving you anything?
  • When will you hit your weekly rate limit?

What This Skill Does

When triggered (via cron or manually), the agent:

  1. Checks session_status for each agent
  2. Calculates per-agent and total costs
  3. Compares against budget thresholds
  4. Sends alerts if limits are approaching
  5. Suggests optimization moves

Usage

Ask your monitoring agent (or any agent with this skill):

"Give me a cost report for all agents"
"Which agent used the most tokens today?"
"Am I going to hit my rate limit this week?"

Automated Daily Report (Cron)

{
  "name": "Daily Cost Report",
  "schedule": { "kind": "cron", "expr": "0 20 * * *", "tz": "Europe/Berlin" },
  "payload": {
    "kind": "agentTurn",
    "message": "Run a cost report across all agents. Check session_status for each. Report: total tokens, cost per agent, top spender, budget warnings. Send summary to user."
  },
  "sessionTarget": "isolated",
  "delivery": { "mode": "announce" }
}

Cost Report Format

When generating a report, use this structure:

## 💰 Agent Cost Report — [Date]

### Per-Agent Breakdown
| Agent | Model | Tokens (24h) | Est. Cost | Status |
|-------|-------|-------------|-----------|--------|
| Central | Opus 4.6 | 125K | $1.87 | ⚠️ High |
| Techops | Opus 4.6 | 89K | $1.33 | ✅ Normal |
| Atlas | Sonnet 4.5 | 45K | $0.27 | ✅ Low |
| Closer | Haiku 4.5 | 23K | $0.02 | ✅ Minimal |
| Heartbeats | Ollama | 12K | $0.00 | ✅ Free |

### Summary
- **Total 24h:** 294K tokens (~$3.49)
- **Projected weekly:** ~$24.43
- **Budget:** $20/week → ⚠️ 122% projected

### Recommendations
1. Move Techops from Opus → Sonnet for routine tasks (-40% cost)
2. Increase heartbeat interval from 15m → 30m
3. Enable context pruning on Atlas (idle sessions burning cache)

Model Cost Reference

Use these rates for estimation (as of 2026):

Anthropic (Claude OAuth / API)

ModelInput/1MOutput/1MCache Read/1MCache Write/1M
Opus 4.6$5.00$25.00$0.50$6.25
Sonnet 4.5$3.00$15.00$0.30$3.75
Haiku 4.5$1.00$5.00$0.08$1.25

Free Options

ModelCostUse For
Ollama (local)$0Heartbeats, simple tasks
Gemini OAuth$0*Fallback (rate limited)

*Free tier with rate limits

Optimization Playbook

Quick Wins (Do These First)

  1. Heartbeats on Ollama
{ "heartbeat": { "model": "ollama/llama3.2:3b" } }

Saves: 100% of heartbeat costs (can be $5-10/week with Opus)

  1. Haiku Cache Retention Off
{ "anthropic/claude-haiku-4-5": { "params": { "cacheRetention": "none" } } }

Saves: Cache write costs on cheap model (not worth caching)

  1. Context Pruning
{ "contextPruning": { "mode": "cache-ttl", "ttl": "5m" } }

Saves: Stale context re-reads on every turn

  1. Opus/Sonnet Cache Retention Long
{ "anthropic/claude-opus-4-6": { "params": { "cacheRetention": "long" } } }

Saves: Re-sending system prompt every turn (biggest single saving)

Model Tiering (Biggest Impact)

Task TypeUse ThisNot ThisSaving
Coordination, complex reasoningOpusJustified
Finance, data analysisSonnetOpus-40%
Sales drafts, marketing copyHaikuSonnet-67%
Heartbeats, health checksOllamaAny paid-100%
Tweet draftsHaiku or GrokOpus-80%

Session Management

  • Daily reset: Sessions auto-clear at a set hour (reduces token accumulation)
{ "session": { "reset": { "mode": "daily", "atHour": 4, "idleMinutes": 45 } } }
  • Memory flush: Save important context before compaction
{ "compaction": { "memoryFlush": { "enabled": true } } }

Alert Thresholds

Configure in your monitoring agent's memory:

## Budget Alerts
- Daily budget: $5.00 (warn at 80% = $4.00)
- Weekly budget: $20.00 (warn at 70% = $14.00)
- Per-agent daily max: $2.00
- Alert channel: Telegram DM

Integration with DevOps Agent

If you have a DevOps/monitoring agent (e.g. your DevOps agent), add to its AGENTS.md:

## Cost Monitoring
- Run daily cost report at 20:00
- Alert if any agent exceeds $2/day
- Weekly summary every Monday 09:00
- Track trends: is usage going up or down?

FAQ

Q: Does this skill make API calls? A: No. It uses OpenClaw's built-in session_status tool. No external APIs, no additional costs.

Q: How accurate are cost estimates? A: Based on published model pricing. Actual costs may vary with caching hits. Estimates are conservative (slightly high).

Q: Can I track costs per conversation? A: Not directly. Costs are tracked per session. Use sessions_list to see per-session token counts.

Q: Works with non-Anthropic models? A: Yes. Token counts work for all providers. Cost estimation requires known pricing (add custom rates in the cost reference section).

Changelog

v1.1.0

  • Generalized all agent names in examples
  • No specific setup references

v1.0.0

  • 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

70.79%
按下载量换算10,067

安全审计

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通过

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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

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