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Skylv Self Health Monitor

Name: Skylv Self Health Monitor
Author: sky-lv

作者 SKY-lv · GitHub ↗ · v1.0.1 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install skylv-self-health-monitor

功能描述

Real-time monitoring of agent memory, API calls, and errors

使用说明 (SKILL.md)

skylv-self-health-monitor

AI Agent self-health monitoring engine. Tracks memory, API calls, errors, latency. Calculates health score. Suggests optimizations.

Skill Metadata

Slug: skylv-self-health-monitor
Version: 1.0.0
Description: Monitor AI agent health in real-time. Memory tracking, API statistics, error rates, latency metrics. Health score calculation with actionable optimization suggestions.
Category: agent
Trigger Keywords: health, monitor, memory, performance, api stats, diagnostics

What It Does

# Quick health status
node health_monitor.js status

# Full health check with suggestions
node health_monitor.js check

# Detailed memory breakdown
node health_monitor.js memory

# API call statistics
node health_monitor.js api-stats

# Continuous monitoring
node health_monitor.js watch 3000

# Health report (JSON)
node health_monitor.js report json

Example Output

## Agent Health Status

Health Score: 87 (B)
Uptime: 2h 15m

Memory:
  Heap: 156.3 / 256.0 MB (61.1%)
  RSS: 312.5 MB
  System: 72.3% used

API Calls:
  Total: 1247 | Success: 1198 | Failed: 49
  Success Rate: 96.1%
  Avg Latency: 847ms

⚠️  Issues:
  [WARNING] api: Error rate elevated: 3.9%

Health Score Calculation

Score	Grade	Status
90-100	A	Excellent
75-89	B	Good
60-74	C	Fair
40-59	D	Poor
0-39	F	Critical

Factors (max -100 points)

Memory: -30 points if heap > 90%, -15 if > 75%
API Errors: -25 points if error rate > 25%, -10 if > 10%
Latency: -20 points if avg > 5s, -10 if > 2s
System Memory: -15 points if system > 90%, -8 if > 80%

Bonuses

+5 points for uptime > 1 hour
+5 points for uptime > 24 hours

Market Data (2026-04-18)

Metric	Value
Search term	`performance monitor`
Top competitor	`system-resource-monitor` (1.201)
Competitors	`auto-monitor` (1.099), `self-health-monitor` (1.087)
Our advantage	Full AI agent health suite with optimization suggestions

Why Competitors Are Weak

system-resource-monitor (1.201): System-level only, no agent context
auto-monitor (1.099): Generic monitoring, no health score
self-health-monitor (1.087): Basic health, no optimization suggestions

This skill provides comprehensive AI agent health monitoring with actionable insights.

Architecture

self-health-monitor/
├── health_monitor.js    # Core engine
├── .health-history.json  # Health history (auto-created)
├── .health-alerts.json   # Alert thresholds (auto-created)
└── SKILL.md

OpenClaw Integration

Ask OpenClaw: "check my health" or "how am I performing?" or "any optimization suggestions?"

Built by an AI agent that monitors its own health while helping others.

Usage

Install the skill
Configure as needed
Run with OpenClaw

安全使用建议

This skill appears coherent and limited to local monitoring, but review a few practical points before installing: 1) It will create .health-history.json and .health-alerts.json in whatever directory you run it from — avoid running in directories with sensitive files or adjust paths/permissions. 2) Inspect how other code will call trackApiCall/trackError so untrusted modules can't inject misleading metrics. 3) Run the script in a sandbox (or non-production environment) first to verify behavior. 4) If you need persistent data elsewhere, modify paths explicitly and ensure appropriate file permissions. Overall it does not request secrets or network access and matches its stated purpose.

功能分析

Type: OpenClaw Skill Name: skylv-self-health-monitor Version: 1.0.1 The skill is a legitimate health monitoring utility for AI agents, tracking memory usage, API performance, and system metrics. The core logic in `health_monitor.js` uses standard Node.js built-in modules (os, fs) to collect data and maintain a local history file, with no evidence of network exfiltration, shell execution, or malicious prompt injection.

能力评估

✓ Purpose & Capability

Name/description (agent health monitoring) align with the provided SKILL.md and the included health_monitor.js. The script exposes tracking hooks and produces the health score and suggestions described. No unrelated credentials, binaries, or services are requested.

ℹ Instruction Scope

SKILL.md instructs running node health_monitor.js commands which is consistent with the included JS. The instructions do not ask to read unrelated system files or environment variables. Note: the script auto-creates and writes .health-history.json and .health-alerts.json in the working directory and exposes functions (trackApiCall, trackError) intended for import by other modules — review how other code will call these hooks to ensure expected behavior.

✓ Install Mechanism

No install spec is present (instruction-only with a shipped JS file). Nothing is downloaded or executed from remote URLs.

✓ Credentials

The skill asks for no environment variables or credentials. The operations (memory/os metrics, local JSON writes, in-process tracking) are proportionate to a monitoring agent.

ℹ Persistence & Privilege

The skill persists state to two dot-files in the current directory (.health-history.json and .health-alerts.json). It does not request system-wide privileges, modify other skills, or require always:true. Consider filesystem placement and file permissions because the skill will write data to the working directory.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install skylv-self-health-monitor
安装完成后，直接呼叫该 Skill 的名称或使用 /skylv-self-health-monitor 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.1

- Added structured frontmatter to SKILL.md with description, keywords, name, and triggers. - Included a new "Usage" section outlining installation, configuration, and running the skill. - No changes to the skill's logic or features; documentation improvements only.

v1.0.0

Initial release of skylv-self-health-monitor — an AI agent self-health monitoring engine. - Provides real-time monitoring of memory, API call statistics, error rates, and latency. - Calculates a comprehensive health score with graded status (A–F) and actionable optimization suggestions. - Offers commands for quick status checks, detailed memory/API stats, full health reports, and continuous monitoring. - Includes JSON reporting and auto-generated health history and alert thresholds. - Designed to outperform competitors by focusing on AI-specific health metrics and actionable insights.

元数据

Slug skylv-self-health-monitor

版本 1.0.1

许可证 MIT-0

累计安装 1

当前安装数 0

历史版本数 2

常见问题