fleet-health

fleet-health is a skill for Claude Code from davistroy/claude-marketplace. It costs 126 tokens per session (3,062 once invoked), scanned B, original, MIT.

A read-only status check for a group of computers and services. It connects to each machine, checks basic health such as uptime, load, storage, and memory, tests key AI-service endpoints, and produces one overall status table.

In plain words
What is it for?
Use it for morning status checks, availability checks, and a pass-or-fail snapshot of the DGX Spark, Jetson, homeserver, bond, and obvm.
Why use it?
Checking several machines separately makes it easy to miss an outage or unhealthy service. This gives a quick view of whether the fleet is available and working.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the personal-plugin plugin — 29 skills, 23 commands, 10 agents, 2 hooks shipped together

Good fit Use it for morning status checks, availability checks, and a pass-or-fail snapshot of the DGX Spark, Jetson, homeserver, bond, and obvm.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/davistroy/claude-marketplace/fleet-health
Install

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.

Any agent
npx skills add davistroy/claude-marketplace --skill fleet-health
Clone the repo
git clone --depth 1 https://github.com/davistroy/claude-marketplace

Made for: Claude Code.

Or install personal-plugin, the plugin that ships this one along with the rest of its 29 skills, 23 commands, 10 agents, 2 hooks.

Wrote 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.

agentmods badge for fleet-health

README.md
[![agentmods](https://agentmods.dev/badge/skills/davistroy/claude-marketplace/fleet-health/github.svg)](https://agentmods.dev/skills/davistroy/claude-marketplace/fleet-health)
Your own site
<a href="https://agentmods.dev/skills/davistroy/claude-marketplace/fleet-health"><img src="https://agentmods.dev/badge/skills/davistroy/claude-marketplace/fleet-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.

agentmods 80×15 button for fleet-health

Your own site · 80×15
<a href="https://agentmods.dev/skills/davistroy/claude-marketplace/fleet-health"><img src="https://agentmods.dev/badge/skills/davistroy/claude-marketplace/fleet-health.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,062 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00126 $0.03062
Opus 5 $0.00063 $0.01531
Sonnet 5 $0.00025 $0.00612
Haiku 4.5 $0.00013 $0.00306

Measured 8d ago against content hash c91c33481ba8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

fleet-health scanned grade B with 2 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 8d 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo_scoped: true # `sudo -n docker ...` works; `sudo cat`/`sudo ls` do NOT — use plain cat/ls or docker's own output

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

description: One-shot, read-only health snapshot across the personal fleet (DGX Spark, Jetson Orin Nano, homeserver, bond, obvm). Checks uptime, load, disk, memory, and each machine's key inference/service endpoints over
plugins/personal-plugin/skills/fleet-health/SKILL.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fleet Health

Fast, read-only health snapshot across all 5 machines in the personal fleet. Unlike spark-audit / jetson-audit (deep, single-machine, best-practices audits), this skill is a wide, shallow, fleet-wide pulse check — designed to answer "is everything up?" in well under a minute, with a final line a headless cron job can grep for.

This skill reads the live system. It never modifies it.

No paths: activation is configured — this skill runs only on explicit invocation ("fleet status", "morning brief", "is the spark available", etc.). Since it never auto-triggers, no loop guard is needed.


Fleet Config

ssh:
  key: "~/.ssh/id_claude_code"
  opts: "-o ConnectTimeout=5 -o BatchMode=yes"
  user: "claude"

curl:
  opts: "-sf -m 5"

fleet:
  - name: "DGX Spark"
    host: "spark.k4jda.net"
    lan_ip: "192.168.10.33"
    role: "LLM inference (vLLM) — chat, embeddings, NER"
    gpu: nvidia-smi
    key_ports:
      8000: { service: "spark-llm (Qwen3.6-35B-A3B-FP8)", check: "GET /v1/models, expect data[0].id == spark-llm" }
      8001: { service: "qwen3-embedding-4b",               check: "GET /v1/models, expect data[0].id == qwen3-embedding-4b" }
      8002: { service: "GLiNER NER",                       check: "GET /health, expect status == ok" }

  - name: "Jetson Orin Nano"
    host: "jetson.k4jda.net"
    lan_ip: "192.168.10.58"
    role: "Edge LLM inference (llama.cpp), single-process mode-switched"
    gpu: tegrastats   # NO nvidia-smi on this box — do not attempt it
    key_ports:
      8080: { service: "active llama-server mode (default qwen35)", check: "GET /health, expect status == ok" }
      8081: { service: "embedding mode (Qwen3-Embedding-4B)",        check: "see Known States — U2: expected DOWN unless mode.txt=embedding" }

  - name: "Homeserver"
    host: "homeserver.k4jda.net"
    role: "Docker host (Unraid) — ~55 containers, Prometheus/Grafana/Alertmanager stack"
    sudo_scoped: true   # `sudo -n docker ...` works; `sudo cat`/`sudo ls` do NOT — use plain cat/ls or docker's own output
    use_wget_locally: true  # curl is not reliably available ON the homeserver itself — use wget when SSH'd in

  - name: "Bond"
    host: "bond.k4jda.net"
    role: "General purpose"

  - name: "open-brain-vm (obvm)"
    host: "obvm.k4jda.net"
    role: "T2 Claude CLI batch, Python, ops"

Read the full file on GitHub · 173 lines

Changes

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.

  1. 8d ago First seen · 173 lines · 126 tokens per session scan B c91c33481ba8

Subscribe to this mod's changes

fleet-health is a skill published in the GitHub repository davistroy/claude-marketplace (5 stars, last pushed 5d ago), licensed MIT. It adds 126 tokens to every session and 3,062 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.

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