url2ip

A tool that looks up the IP address associated with a URL, such as a website address. It accepts a URL and returns an IP address string.

In plain words
What is it for?
Converting a URL or domain name into its corresponding IP address.
Why use it?
It removes the need to perform the domain lookup manually when a task requires the server address behind a URL.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/coderwanfeng/python-office/url2ip
Any agent
npx skills add CoderWanFeng/python-office --skill url2ip
Clone the repo
git clone --depth 1 https://github.com/CoderWanFeng/python-office

Made for: Claude Code, Codex.

Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 237 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00031 $0.00237
Opus 5 $0.00015 $0.00118
Sonnet 5 $0.00006 $0.00047
Haiku 4.5 $0.00003 $0.00024

Measured yesterday against content hash 5a4908bbd1c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

url2ip 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 yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (__init__.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/tools/url2ip/SKILL.md · 48 lines

What it actually says

url2ip Skill

将 URL 转换为 IP 地址

功能描述

解析给定的 URL 并返回对应的 IP 地址。

所属分类

office/skills/tools/url2ip/

调用方式

from skills.tools import url2ip

ip = url2ip(url='https://www.python-office.com')
print(ip)

参数说明

参数 类型 必填 默认值 说明
url str - 需要转换的 URL 字符串

返回值

str:解析得到的 IP 地址字符串

使用示例

from skills.tools import url2ip
ip = url2ip(url='https://www.baidu.com')
print(f"百度 IP: {ip}")

原始函数

office.api.tools.url2ip

Files

What ships with it

1 file 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.

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. yesterday First seen · 48 lines · 31 tokens per session scan A 5a4908bbd1c3

Subscribe to this mod's changes

url2ip is a skill published in the GitHub repository CoderWanFeng/python-office (1,346 stars, last pushed 13d ago), licensed Apache-2.0. It adds 31 tokens to every session and 237 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 2026-08-30.

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