zabbix-investigate

zabbix-investigate is a skill for Claude Code, Codex from stufently/zabbix-ai-cli-mcp. It costs 47 tokens per session (607 once invoked), scanned A, original, Apache-2.0.

A troubleshooting skill for Zabbix, a system that monitors servers and raises alerts. It investigates one host by collecting its status, problems, events, maintenance state, and failed or missing checks.

In plain words
What is it for?
It explains why a specific Zabbix host is alerting, repeatedly changing state, or silent by examining agent availability, maintenance windows, missing data, unsupported checks, active problems, severity, and age.
Why use it?
It helps distinguish a host that is unreachable from a host whose individual monitoring checks have failed or whose alerts are being suppressed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It explains why a specific Zabbix host is alerting, repeatedly changing state, or silent by examining agent availability, maintenance windows, missing data, unsupported checks, active problems, severity, and age.

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Install with agentmods
npx agentmods add skills/stufently/zabbix-ai-cli-mcp/zabbix-investigate
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 stufently/zabbix-ai-cli-mcp --skill zabbix-investigate
Clone the repo
git clone --depth 1 https://github.com/stufently/zabbix-ai-cli-mcp

Made for: Claude Code, Codex.

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 zabbix-investigate

README.md
[![agentmods](https://agentmods.dev/badge/skills/stufently/zabbix-ai-cli-mcp/zabbix-investigate/github.svg)](https://agentmods.dev/skills/stufently/zabbix-ai-cli-mcp/zabbix-investigate)
Your own site
<a href="https://agentmods.dev/skills/stufently/zabbix-ai-cli-mcp/zabbix-investigate"><img src="https://agentmods.dev/badge/skills/stufently/zabbix-ai-cli-mcp/zabbix-investigate/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 zabbix-investigate

Your own site · 80×15
<a href="https://agentmods.dev/skills/stufently/zabbix-ai-cli-mcp/zabbix-investigate"><img src="https://agentmods.dev/badge/skills/stufently/zabbix-ai-cli-mcp/zabbix-investigate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 607 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 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 $0.00047 $0.00607
Opus 5 $0.00023 $0.00303
Sonnet 5 $0.00009 $0.00121
Haiku 4.5 $0.00005 $0.00061

Measured 12d ago against content hash 888577eccbb1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

zabbix-investigate 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 12d 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.

internal/skills/files/zabbix-investigate/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Zabbix: investigate a host

Collect the facts about one host, then reason over them. The tool gathers; you interpret.

Workflow

  1. One call gathers the context. Do not assemble it by hand.

    zabbix-ai-cli-mcp host investigate web01 --json
    

    This returns host state, agent availability, active problems, recent events, silent and unsupported items, and any maintenance window covering the host.

  2. Follow the strongest signal, in this order:

    • status.agent_available: "unavailable" → Zabbix cannot reach the host at all. The interface error field usually says why. Everything else is downstream of this.
    • status.in_maintenance: true → alerts are suppressed. Check whether the window should still be open before treating silence as health.
    • no_data_items non-empty → the host answers but specific checks stopped reporting. Compare their keys: one subsystem or all of them?
    • unsupported_items non-empty → the check itself is failing, and error says how. This is a monitoring fault, not necessarily a host fault.
    • active_problems → read severity and age together; an old average-severity problem is often more telling than a fresh warning.
  3. Values over time, when a problem is about a threshold:

    zabbix-ai-cli-mcp metrics history web01 "cpu util" --last 24h --json
    

    The summary block gives min, average and max without reading every point.

  4. Recent history: recent_events covers the last 24 hours. Several problem-and-resolve pairs for the same trigger mean flapping, not a single fault.

Reading the result

  • meta.partial: true means a sub-query failed and the rest is still valid. Say which part is missing rather than presenting the snapshot as complete.
  • No-data detection samples the first 40 scheduled items; a warning says so when the cap applied. Items that arrive by trapper or are derived from others are excluded on purpose — silence from one of those is not evidence of a fault.

Read the full file on GitHub · 55 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. 12d ago First seen · 55 lines · 47 tokens per session scan A 888577eccbb1

Subscribe to this mod's changes

zabbix-investigate is a skill published in the GitHub repository stufently/zabbix-ai-cli-mcp (0 stars, last pushed 13d ago), licensed Apache-2.0. It adds 47 tokens to every session and 607 once invoked, about $0.0002 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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