
zabbix
Zabbix monitoring system automation via API and Python. Use when: (1) Managing hosts, templates, items, triggers, or host groups, (2) Automating monitoring configuration, (3) Sending data via Zabbix trapper/sender, (4) Querying historical data or events, (5) Bulk operations on Zabbix objects, (6) Maintenance window management, (7) User/permission management
- Installs
- 141
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/julianobarbosa/claude-code-skills --skill zabbix- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads zabbix automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Zabbix Automation Skill
Overview
This skill provides guidance for automating Zabbix monitoring operations via the API and official Python library zabbix_utils.
Quick Start
Installation
pip install zabbix-utils --break-system-packages
Authentication
from zabbix_utils import ZabbixAPI
# Option 1: Username/password
api = ZabbixAPI(url="https://zabbix.example.com")
api.login(user="Admin", password="zabbix")
# Option 2: API token (Zabbix 5.4+, preferred)
api = ZabbixAPI(url="https://zabbix.example.com")
api.login(token="your_api_token")
# Verify connection
print(api.api_version())
Environment Variables Pattern
import os
from zabbix_utils import ZabbixAPI
api = ZabbixAPI(url=os.environ.get("ZABBIX_URL", "http://localhost/zabbix"))
api.login(token=os.environ["ZABBIX_TOKEN"])
Core API Methods
All APIs follow pattern: api.<object>.<method>() with methods: get, create, update, delete.
Host Operations
# Get hosts
hosts = api.host.get(output=["hostid", "host", "name"],
selectInterfaces=["ip"])
# Create host
api.host.create(
host="server01",
groups=[{"groupid": "2"}], # Linux servers
interfaces=[{
"type": 1, # 1=agent, 2=SNMP, 3=IPMI, 4=JMX
"main": 1,
"useip": 1,
"ip": "192.168.1.100",
"dns": "",
"port": "10050"
}],
templates=[{"templateid": "10001"}]
)
# Update host
api.host.update(hostid="10084", status=0) # 0=enabled, 1=disabled
# Delete host
api.host.delete("10084")
Template Operations
# Get templates
templates = api.template.get(output=["templateid", "host", "name"],
selectHosts=["hostid", "name"])
# Link template to host
api.host.update(hostid="10084",
templates=[{"templateid": "10001"}])
# Import template from XML
with open("template.xml") as f:
api.configuration.import_(
source=f.read(),
format="xml",
rules={
"templates": {"createMissing": True, "updateExisting": True},
"items": {"createMissing": True, "updateExisting": True},
"triggers": {"createMissing": True, "updateExisting": True}
}
)
Item Operations
# Get items
items = api.item.get(hostids="10084",
output=["itemid", "name", "key_"],
search={"key_": "system.cpu"})
# Create item
api.item.create(
name="CPU Load",
key_="system.cpu.load[percpu,avg1]",
hostid="10084",
type=0, # 0=Zabbix agent
value_type=0, # 0=float, 3=integer, 4=text
delay="30s",
interfaceid="1"
)
Trigger Operations
# Get triggers
triggers = api.trigger.get(hostids="10084",
output=["triggerid", "description", "priority"],
selectFunctions="extend")
# Create trigger
api.trigger.create(
description="High CPU on {HOST.NAME}",
expression="last(/server01/system.cpu.load[percpu,avg1])>5",
priority=3 # 0=not classified, 1=info, 2=warning, 3=average, 4=high, 5=disaster
)
Host Group Operations
# Get groups
groups = api.hostgroup.get(output=["groupid", "name"])
# Create group
api.hostgroup.create(name="Production/Web Servers")
# Add hosts to group
api.hostgroup.massadd(groups=[{"groupid": "5"}],
hosts=[{"hostid": "10084"}])
Maintenance Windows
import time
# Create maintenance
api.maintenance.create(
name="Server Maintenance",
active_since=int(time.time()),
active_till=int(time.time()) + 3600, # 1 hour
hostids=["10084"],
timeperiods=[{
"timeperiod_type": 0, # One-time
"period": 3600
}]
)
Events and Problems
# Get current problems
problems = api.problem.get(output=["eventid", "name", "severity"],
recent=True)
# Get events
events = api.event.get(hostids="10084",
time_from=int(time.time()) - 86400,
output="extend")
History Data
# Get history (value_type must match item's value_type)
# 0=float, 1=character, 2=log, 3=integer, 4=text
history = api.history.get(
itemids="28269",
history=0, # float
time_from=int(time.time()) - 3600,
output="extend",
sortfield="clock",
sortorder="DESC"
)
Zabbix Sender (Trapper Items)
from zabbix_utils import Sender
sender = Sender(server="zabbix.example.com", port=10051)
# Send single value
response = sender.send_value("hostname", "trap.key", "value123")
print(response) # {"processed": 1, "failed": 0, "total": 1}
# Send multiple values
from zabbix_utils import ItemValue
values = [
ItemValue("host1", "key1", "value1"),
ItemValue("host2", "key2", 42),
]
response = sender.send(values)
Zabbix Getter (Agent Query)
from zabbix_utils import Getter
agent = Getter(host="192.168.1.100", port=10050)
response = agent.get("system.uname")
print(response.value)
Common Patterns
Bulk Host Creation from CSV
import csv
from zabbix_utils import ZabbixAPI
api = ZabbixAPI(url="https://zabbix.example.com")
api.login(token="your_token")
with open("hosts.csv") as f:
for row in csv.DictReader(f):
try:
api.host.create(
host=row["hostname"],
groups=[{"groupid": row["groupid"]}],
interfaces=[{
"type": 1, "main": 1, "useip": 1,
"ip": row["ip"], "dns": "", "port": "10050"
}]
)
print(f"Created: {row['hostname']}")
except Exception as e:
print(f"Failed {row['hostname']}: {e}")
Find Hosts Without Template
# Get all hosts
all_hosts = api.host.get(output=["hostid", "host"],
selectParentTemplates=["templateid"])
# Filter hosts without specific template
template_id = "10001"
hosts_without = [h for h in all_hosts
if not any(t["templateid"] == template_id
for t in h.get("parentTemplates", []))]
Disable Triggers by Pattern
triggers = api.trigger.get(
search={"description": "test"},
output=["triggerid"]
)
for t in triggers:
api.trigger.update(triggerid=t["triggerid"], status=1) # 1=disabled
Item Types Reference
| Type | Value | Description |
|---|---|---|
| Zabbix agent | 0 | Active checks |
| Zabbix trapper | 2 | Passive, data pushed via sender |
| Simple check | 3 | ICMP, TCP, etc. |
| Zabbix internal | 5 | Server internal metrics |
| Zabbix agent (active) | 7 | Agent-initiated |
| HTTP agent | 19 | HTTP/REST API monitoring |
| Dependent item | 18 | Derived from master item |
| Script | 21 | Custom scripts |
Value Types Reference
| Type | Value | Description |
|---|---|---|
| Float | 0 | Numeric (float) |
| Character | 1 | Character string |
| Log | 2 | Log file |
| Unsigned | 3 | Numeric (integer) |
| Text | 4 | Text |
Trigger Severity Reference
| Severity | Value | Color |
|---|---|---|
| Not classified | 0 | Gray |
| Information | 1 | Light blue |
| Warning | 2 | Yellow |
| Average | 3 | Orange |
| High | 4 | Light red |
| Disaster | 5 | Red |
Error Handling
from zabbix_utils import ZabbixAPI
from zabbix_utils.exceptions import APIRequestError
try:
api.host.create(host="duplicate_host", groups=[{"groupid": "2"}])
except APIRequestError as e:
print(f"API Error: {e.message}")
print(f"Code: {e.code}")
Debugging
import logging
logging.basicConfig(level=logging.DEBUG)
# Now all API calls will be logged
Scripts Reference
See scripts/ directory for ready-to-use automation:
zabbix-bulk-hosts.py- Bulk host management from CSVzabbix-maintenance.py- Create/manage maintenance windowszabbix-export.py- Export hosts/templates to JSON/XML
Best Practices
- Use API tokens over username/password when possible
- Limit output fields - Always specify
output=["field1", "field2"]instead ofoutput="extend" - Use search/filter - Never fetch all objects and filter in Python
- Handle pagination - Large result sets may need
limitandoffset - Batch operations - Use
massadd,massupdatefor bulk changes - Error handling - Always wrap API calls in try/except
- Idempotency - Check if object exists before creating
FAQ
What does the zabbix skill do?
Zabbix monitoring system automation via API and Python. Use when: (1) Managing hosts, templates, items, triggers, or host groups, (2) Automating monitoring configuration, (3) Sending data via Zabbix trapper/sender, (4) Querying historical data or events, (5) Bulk operations on Zabbix objects, (6) Maintenance window management, (7) User/permission management
How do I install zabbix?
Run npx skills add https://github.com/julianobarbosa/claude-code-skills --skill zabbix in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/zabbix/ (personal) or .claude/skills/zabbix/ (project).
Which AI agents can use zabbix?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is zabbix safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains zabbix?
It is published by julianobarbosa in julianobarbosa/claude-code-skills. It has 141 recorded installs.
More from julianobarbosa/claude-code-skills
markitdown
julianobarbosa/claude-code-skills
Guide for using Microsoft MarkItDown - a Python utility for converting files to Markdown. Use when converting PDF, Word, PowerPoint, Excel, images, audio, HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs, Jupyter notebooks, RSS feeds, or Wikipedia pages to Markdown format. Also use for document processing pipelines, LLM preprocessing, or text extraction tasks.
obsidian-vault-management
julianobarbosa/claude-code-skills
Creates, edits, and manages Obsidian vault content including notes, templates, daily notes, and dataview queries. Use when working with markdown files in an Obsidian vault, creating notes, writing templates, building dataview queries, or organizing knowledge management content.
neovim
julianobarbosa/claude-code-skills
Open the skill to read its SKILL.md instructions.
markitdown-skill
julianobarbosa/claude-code-skills
Guide for using Microsoft MarkItDown - a Python utility for converting files to Markdown. Use when converting PDF, Word, PowerPoint, Excel, images, audio, HTML, CSV, JSON, XML, ZIP, YouTube URLs, EPubs, Jupyter notebooks, RSS feeds, or Wikipedia pages to Markdown format. Also use for document processing pipelines, LLM preprocessing, or text extraction tasks.
obsidian
julianobarbosa/claude-code-skills
Guide for implementing Obsidian knowledge management - vault operations, plugin development, URI scheme automation, markdown extensions, and Local REST API integration. Use when working with Obsidian vaults, creating plugins, automating note workflows, querying notes via API, or implementing knowledge graph features.
argocd-advanced
julianobarbosa/claude-code-skills
Open the skill to read its SKILL.md instructions.
Popular devops & cloud skills
microsoft-foundry
microsoft/azure-skills
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure
azure-diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
azure-prepare
microsoft/azure-skills
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
azure-deploy
microsoft/azure-skills
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
azure-validate
microsoft/azure-skills
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.