Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add devjourney/unifi-mcp --skill network-health-checkgit clone --depth 1 https://github.com/devjourney/unifi-mcpWrote 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/devjourney/unifi-mcp/network-health-check)<a href="https://agentmods.dev/skills/devjourney/unifi-mcp/network-health-check"><img src="https://agentmods.dev/badge/skills/devjourney/unifi-mcp/network-health-check/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/devjourney/unifi-mcp/network-health-check"><img src="https://agentmods.dev/badge/skills/devjourney/unifi-mcp/network-health-check.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 | $0.00049 | $0.00850 |
| Opus 5.5 | $0.00020 | $0.00340 |
| Sonnet 5.5 | $0.00010 | $0.00170 |
| Haiku 4.5 | $0.00005 | $0.00085 |
Grade A, and why
network-health-check 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 1mo 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.
This is a copy
100% identical to network-health-check — 45 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Network Health Check
Setup Check
Before running a health check, verify the MCP server is configured:
- Check that
UNIFI_NETWORK_HOSTis set in the environment. - If it is not set or the connection fails, stop and direct the user to the
unifi-network-setupskill to configure the UniFi Network MCP server. - Use
unifi_tool_indexto confirm available tools. If no UniFi tools are listed, the server is not connected.
Health Check Procedure
Use unifi_batch to gather all required data in a single parallel operation:
unifi_batch([
{ "tool": "unifi_get_system_info" },
{ "tool": "unifi_get_network_health" },
{ "tool": "unifi_list_devices" },
{ "tool": "unifi_list_alarms" }
])
This single batch call replaces sequential tool calls and returns all data needed for the report. Do not call these tools one at a time.
If device or alarm issues are found and more detail is needed, a follow-up batch can add:
unifi_batch([
{ "tool": "unifi_list_clients" },
{ "tool": "unifi_get_top_clients" }
])
Analyzing Results
Use these reference documents to interpret the data returned by the batch call:
references/device-states.md— maps devicestateinteger codes to human-readable status (online, offline, isolated, etc.) and explains what each state means operationally. Do not guess at state codes — consult this reference before classifying device status.references/alarm-types.md— describes known alarm types, their severity levels, and recommended remediation steps. Consult before classifying alarm severity or suggesting actions.references/health-subsystems.md— explains the per-subsystem health fields returned byunifi_get_network_health(WAN, LAN, WLAN, VPN), how to interpretstatusvalues, and the recommended diagnostic priority order: WAN → LAN → WLAN → VPN.
From the device list, identify:
- Offline devices — any device with
state!= 1. Checkreferences/device-states.mdfor the full state code table. - Devices needing updates — check the
upgradeablefield. Report current vs available firmware version. - High-load devices — check CPU/memory utilization if present in device stats.
- Devices with poor uptime — recently rebooted devices may indicate instability.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 86 lines · 49 tokens per session scan A 8d4e2b055faa
network-health-check is a skill published in the GitHub repository devjourney/unifi-mcp (0 stars, last pushed 3mo ago), licensed MIT. It adds 49 tokens to every session and 850 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to network-health-check, differing in 45 lines, and is treated as a copy.
Other skills, from other repositories
gke-ai-troubleshooting-tpu-dynamic-slices-monitoring
Monitors, troubleshoots, and manages GKE TPU Dynamic Slices custom resources. Use when checking TPU slice lifecycle states, troubleshooting slice provisioning failures, validating single-slice or multi-slice (JobSet) workload manifests, or safely patching stuck finalizers and disabling the slice controller. Don't use…
gke-ai-troubleshooting-tpu-vbar-oom
Diagnoses and prevents vbarcontrolagent segfaults, out-of-memory (OOM) errors, and TPU device initialization failures on TPU v6e nodes in GKE caused by race conditions during TPU device resets or high-frequency metrics polling. Use when troubleshooting vbarcontrolagent crashes, memory cgroup OOMs in serial console…
doca-flow
DOCA Flow packet steering on NVIDIA NICs/DPUs, linked into a C application: match/action pipes, ports, representors, forwarding, hairpin, counters. Trigger on packet steering, classifier, rule-matching, representor, hairpin or 5-tuple-to-queue questions even when "DOCA Flow" is not named. Also covers pipe validation…
competition-firmware-layout
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for firmware images, partition tables, boot chains, update packages, extracted filesystems, embedded configs, and device-facing trust boundaries. Use when the user asks to unpack firmware, map partition layout, inspect bootloader or init…
diagnose-driver-install
Diagnose NVIDIA driver installation failures on DeepOps-managed nodes — nvidia-smi errors, "No devices were found", DKMS build failures, or GPU pods crash-looping. Use before reinstalling anything.
catc-troubleshoot
Catalyst Center troubleshooting workflows - device unreachable investigation, client connectivity issues, interface down analysis, site-wide outage triage, wireless roaming problems, integration with pyATS for CLI-level diagnostics. Use when the device is managed by Catalyst Center and you want its…