Li Sentry Check

Multi-platform server inspection and health check skill. SSH into remote Linux servers using key-based authentication, run read-only inspection commands (CPU, memory, disk, network, services, security), and generate structured Markdown reports with anomaly highlighting. Use when the user asks to inspect servers, run health checks, check system metrics, perform 巡检/巡查, gather system status, or generate inspection reports. Compatible with nanobot, OpenClaw, and Hermes agent.

Multi-platform server inspection and health check via SSH.

Security Declaration

This skill is strictly read-only and does NOT:

• ❌ Modify any server configuration
• ❌ Install or remove software
• ❌ Restart or stop services
• ❌ Write to any file on the remote server
• ❌ Exfiltrate data to external services
• ❌ Access local files other than: references/targets.yaml, references/checks.yaml, and the SSH private key specified in keyPath
• ❌ Make any network connections other than SSH to the target server specified in targets.yaml
• ❌ Execute arbitrary commands — only commands from references/checks.yaml are allowed

This skill ONLY:

• ✅ Reads system information via predefined read-only commands
• ✅ Generates a local Markdown/JSON report
• ✅ Connects to ONE remote server via SSH using the key specified in targets.yaml

Overview

Read-only inspection of remote Linux hosts over SSH using a dedicated key. Collects system metrics, service status, security events, and generates a structured Markdown report with anomaly highlighting.

Platform Support

Platform	Script	Runtime
OpenClaw	scripts/inspect.mjs	Node.js 24+
NanoBot	scripts/inspect.py	Python 3.10+
Hermes	scripts/inspect.py	Python 3.10+

Safety (Default Deny)

• Only run commands defined in references/checks.yaml
• No state-changing commands (no installs, no config edits, no restarts)
• Only SSH key authentication (no passwords)
• BatchMode=yes — non-interactive SSH only

Config

• Targets: references/targets.yaml
• Allowed checks: references/checks.yaml

How To Run

NanoBot / Hermes (Python)

bash

python3 scripts/inspect.py --target bogon --checks daily

OpenClaw (Node.js)

bash

node scripts/inspect.mjs --target bogon --checks daily

Options

Option	Description	Default
--target	Target name from targets.yaml	(required)
--checks	Check group: basic, services, daily	basic
--format	Output format: markdown, json	markdown
--output	Write report to file instead of stdout	stdout

Check Groups

Group	Description
basic	Hardware resources: CPU, memory, disk, network
services	Service status and error logs (from targets.yaml)
daily	Full inspection: basic + services + security + logs

Extending

1. Add target: Edit references/targets.yaml
2. Add checks: Edit references/checks.yaml
3. Add check group: Define new group in checks.yaml

SSH Key Setup

bash

# Generate key pair
ssh-keygen -t rsa -b 4096 -f ~/.ssh/li_sentry_check -N ""

# Copy to remote server
ssh-copy-id -i ~/.ssh/li_sentry_check.pub inspector@<SERVER_IP>

# Test connection
ssh -i ~/.ssh/li_sentry_check inspector@<SERVER_IP>

Security Best Practices

• Key permissions: chmod 600 ~/.ssh/li_sentry_check
• Host verification: For production, pre-populate known_hosts instead of accept-new
• Service names: Only alphanumeric, hyphens, underscores allowed (validated before use)
• Command allowlist: Never modify checks.yaml with state-changing commands
• Report handling: Reports may contain system data — do not share publicly

Report Output

Reports are generated in Markdown format with:

• Summary section: Overall health status, anomaly count
• Anomaly section: ⚠️ Highlighted issues requiring attention
• Normal section: Collapsible normal check results
• Details: Full command output for each check

Architecture

text

li_sentry_check/
├── SKILL.md                  # This file
├── _meta.json                # Skill metadata
├── references/
│   ├── targets.yaml          # Target server configuration
│   └── checks.yaml           # Command allowlist
└── scripts/
    ├── inspect.mjs           # Node.js implementation (OpenClaw)
    └── inspect.py            # Python implementation (NanoBot/Hermes)