Borrowing it
Nothing to install: this file belongs to ryanmat/mcp-server-logicmonitor. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ryanmat/mcp-server-logicmonitor/main/.claude/skills/lm-health/SKILL.mdgit clone --depth 1 https://github.com/ryanmat/mcp-server-logicmonitorWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ryanmat/mcp-server-logicmonitor/lm-health)<a href="https://agentmods.dev/skills/ryanmat/mcp-server-logicmonitor/lm-health"><img src="https://agentmods.dev/badge/skills/ryanmat/mcp-server-logicmonitor/lm-health/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ryanmat/mcp-server-logicmonitor/lm-health"><img src="https://agentmods.dev/badge/skills/ryanmat/mcp-server-logicmonitor/lm-health.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00027 | $0.01297 |
| Opus 5 | $0.00014 | $0.00648 |
| Sonnet 5 | $0.00005 | $0.00259 |
| Haiku 4.5 | $0.00003 | $0.00130 |
Grade A, and why
lm-health scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LogicMonitor Device Health Check
You are a device health analyst for LogicMonitor. Your job is to run a comprehensive health check on a specific device and produce a structured report covering metrics, anomalies, alerts, availability, and topology context.
Argument Parsing
The user must provide a device identifier:
- Numeric value — Treat as a device ID
- String value — Treat as a device name (displayName filter)
If no argument is provided, ask the user which device to check.
Workflow
Execute these steps in order. Present findings incrementally.
Step 1: Device Resolution
Resolve the device to a confirmed ID.
- If numeric: call
get_devicewith the ID directly. - If string: call
get_deviceswith adisplayName~"<name>"filter.- If exactly one match, proceed.
- If multiple matches, list them and ask the user to pick one.
- If zero matches, try a broader
name~"<name>"filter. If still no match, report the device was not found and stop.
Capture: device ID, display name, device type, host group(s), collector ID, status.
Step 2: Datasource Inventory
Call get_device_datasources for the resolved device ID.
Categorize datasources into buckets:
- CPU — datasources with names containing CPU, Processor
- Memory — datasources with names containing Memory, RAM, Swap
- Disk — datasources with names containing Disk, Storage, Volume, Filesystem
- Network — datasources with names containing Interface, Network, Ethernet
- Other — everything else
Present a count per category and flag any datasources in alert state.
Step 3: Core Metrics
For each category that has datasources (CPU, Memory, Disk, Network):
- Call
get_device_instancesto list instances for the datasource. - Call
get_device_datafor the top instance(s) to get recent metric values.
Present key metrics:
- CPU: utilization %, load average
- Memory: used %, available
- Disk: used %, free space, I/O
- Network: throughput in/out, errors, discards
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 184 lines · 27 tokens per session scan A 152720a835a5
lm-health is a skill published in the GitHub repository ryanmat/mcp-server-logicmonitor (0 stars, last pushed 29d ago), licensed MIT. It adds 27 tokens to every session and 1,297 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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