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Openclaw Monitor

Monitoring Skill

frank-bot070 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install frank-bot07/openclaw-monitor

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Monitoring Skill

System health monitoring for OpenClaw — tracks token spend, task success rates, cron health, and skill usage.

Commands

monitor status                                          # Health summary
monitor tokens [--period 7d|30d] [--by model|skill]    # Token report
monitor crons                                           # Cron health
monitor tasks [--failed]                                # Task history
monitor cost [--period month|week]                      # Cost breakdown
monitor ingest token|task|cron                          # Manual ingestion
monitor aggregate [--date YYYY-MM-DD]                   # Daily aggregates
monitor refresh                                         # Regenerate interchange
monitor backup [--output path]                          # Backup DB
monitor restore <file>                                  # Restore DB

Interchange

  • ops/capabilities.md — Command reference (shareable)
  • ops/health.md — Status indicators only (shareable, no costs/tokens)
  • state/status.md — Full detailed status (private)
  • state/token-spend.md — Token/cost breakdown (private)

来源信息

Source
github
Repository
openclaw/skills
Path
skills/frank-bot07/openclaw-monitor
Version
—
Commit
fd1c17f6fa7e92c24a9be4c157e4aee0cf07859d
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

README

openclaw-monitor

Tests Node License: MIT

System health monitoring — token spend, task success rates, cron health, and cost analysis.

Track everything your AI agents are spending and doing. Monitor token usage by model and skill, watch task success rates, keep tabs on cron job health, and generate cost breakdowns — all from the command line with .md interchange reports.

Features

  • Token spend tracking — ingest and report on token usage by model and skill
  • Task success rates — track success, failure, and timeout rates
  • Cron health — monitor job execution with pass/fail and duration stats
  • Cost analysis — breakdowns by model, day, week, or month
  • Daily aggregation — automatic rollup of metrics into daily summaries
  • Status dashboard — quick system health summary with emoji indicators
  • Interchange reports — generate .md files for cross-skill visibility
  • Backup & restore — full database backup and recovery

Quick Start

cd skills/monitoring
npm install

# Quick health check
node src/cli.js status

# Ingest some events
node src/cli.js ingest token --model gpt-4 --in 1500 --out 500 --cost 0.045 --skill crm
node src/cli.js ingest task --command "deal-sync" --status success --duration 1200

# View reports
node src/cli.js tokens --period 7d --by model
node src/cli.js cost --period week

CLI Reference

Reports
monitor status                          # System health summary
monitor tokens [--period <7d>] [--by <model|skill>]   # Token usage report
monitor tasks [--failed]                # Task history (optionally failures only)
monitor crons                           # Cron job health
monitor cost [--period <week|month>]    # Cost breakdown
Event Ingestion
monitor ingest token --model <model> --in <n...

来源内容

SKILL.md
# Monitoring Skill

System health monitoring for OpenClaw — tracks token spend, task success rates, cron health, and skill usage.

## Commands
```
monitor status                                          # Health summary
monitor tokens [--period 7d|30d] [--by model|skill]    # Token report
monitor crons                                           # Cron health
monitor tasks [--failed]                                # Task history
monitor cost [--period month|week]                      # Cost breakdown
monitor ingest token|task|cron                          # Manual ingestion
monitor aggregate [--date YYYY-MM-DD]                   # Daily aggregates
monitor refresh                                         # Regenerate interchange
monitor backup [--output path]                          # Backup DB
monitor restore <file>                                  # Restore DB
```

## Interchange
- `ops/capabilities.md` — Command reference (shareable)
- `ops/health.md` — Status indicators only (shareable, no costs/tokens)
- `state/status.md` — Full detailed status (private)
- `state/token-spend.md` — Token/cost breakdown (private)
README
# openclaw-monitor

[![Tests](https://img.shields.io/badge/tests-10%20passing-brightgreen)]() [![Node](https://img.shields.io/badge/node-%3E%3D18-blue)]() [![License: MIT](https://img.shields.io/badge/license-MIT-yellow)]()

> System health monitoring — token spend, task success rates, cron health, and cost analysis.

Track everything your AI agents are spending and doing. Monitor token usage by model and skill, watch task success rates, keep tabs on cron job health, and generate cost breakdowns — all from the command line with `.md` interchange reports.

## Features

- **Token spend tracking** — ingest and report on token usage by model and skill
- **Task success rates** — track success, failure, and timeout rates
- **Cron health** — monitor job execution with pass/fail and duration stats
- **Cost analysis** — breakdowns by model, day, week, or month
- **Daily aggregation** — automatic rollup of metrics into daily summaries
- **Status dashboard** — quick system health summary with emoji indicators
- **Interchange reports** — generate `.md` files for cross-skill visibility
- **Backup & restore** — full database backup and recovery

## Quick Start

```bash
cd skills/monitoring
npm install

# Quick health check
node src/cli.js status

# Ingest some events
node src/cli.js ingest token --model gpt-4 --in 1500 --out 500 --cost 0.045 --skill crm
node src/cli.js ingest task --command "deal-sync" --status success --duration 1200

# View reports
node src/cli.js tokens --period 7d --by model
node src/cli.js cost --period week
```

## CLI Reference

### Reports

```bash
monitor status                          # System health summary
monitor tokens [--period <7d>] [--by <model|skill>]   # Token usage report
monitor tasks [--failed]                # Task history (optionally failures only)
monitor crons                           # Cron job health
monitor cost [--period <week|month>]    # Cost breakdown
```

### Event Ingestion

```bash
monitor ingest token --model <model> --in <n...

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