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 julianobarbosa/claude-code-skills --skill zabbix-apigit clone --depth 1 https://github.com/julianobarbosa/claude-code-skillsWrote 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/julianobarbosa/claude-code-skills/zabbix-api)<a href="https://agentmods.dev/skills/julianobarbosa/claude-code-skills/zabbix-api"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/zabbix-api/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/julianobarbosa/claude-code-skills/zabbix-api"><img src="https://agentmods.dev/badge/skills/julianobarbosa/claude-code-skills/zabbix-api.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 362 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00092 | $0.02767 |
| Opus 5 | $0.00046 | $0.01384 |
| Sonnet 5 | $0.00018 | $0.00553 |
| Haiku 4.5 | $0.00009 | $0.00277 |
Grade A, and why
zabbix-api 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 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.
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 — 366 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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}
}
)
What ships with it
7 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.
- 8d ago First seen · 366 lines · 92 tokens per session scan A c5888ff58054
zabbix-api is a skill published in the GitHub repository julianobarbosa/claude-code-skills (10 stars, last pushed 16d ago), licensed MIT. It adds 92 tokens to every session and 2,767 once invoked, about $0.0005 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 2026-09-03.
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