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Install in OpenClaw
/install skylv-self-health-monitor
Description
Real-time monitoring of agent memory, API calls, and errors
README (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 contextauto-monitor(1.099): Generic monitoring, no health scoreself-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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
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.
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install skylv-self-health-monitor - After installation, invoke the skill by name or use
/skylv-self-health-monitor - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Skylv Self Health Monitor?
Real-time monitoring of agent memory, API calls, and errors. It is an AI Agent Skill for Claude Code / OpenClaw, with 83 downloads so far.
How do I install Skylv Self Health Monitor?
Run "/install skylv-self-health-monitor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Skylv Self Health Monitor free?
Yes, Skylv Self Health Monitor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Skylv Self Health Monitor support?
Skylv Self Health Monitor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Skylv Self Health Monitor?
It is built and maintained by SKY-lv (@sky-lv); the current version is v1.0.1.
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