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 zhinjs/zhin --skill nettoolsgit clone --depth 1 https://github.com/zhinjs/zhinWrote 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/zhinjs/zhin/nettools)<a href="https://agentmods.dev/skills/zhinjs/zhin/nettools"><img src="https://agentmods.dev/badge/skills/zhinjs/zhin/nettools/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/zhinjs/zhin/nettools"><img src="https://agentmods.dev/badge/skills/zhinjs/zhin/nettools.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00070 | $0.00409 |
| Opus 5.5 | $0.00028 | $0.00164 |
| Sonnet 5.5 | $0.00014 | $0.00082 |
| Haiku 4.5 | $0.00007 | $0.00041 |
Grade A, and why
nettools 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.
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.
What it actually says
网络工具技能
| 工具 | 用途 | 参数 |
|---|---|---|
net_ping |
多地区 Ping（check-host.net） | host：公网域名或 IP |
whois_lookup |
域名注册信息（RDAP） | domain |
dns_lookup |
DNS 查询（DoH） | name，type（默认 A） |
domain_price |
域名价格比价（nazhumi.com） | suffix，order（register/renew/transfer） |
Example:
用户: github.com 的邮件服务器是哪些？
→ dns_lookup(name="github.com", type="MX")
注意
- 内网、回环、链路本地、组播、云元数据地址以及解析到这些地址的域名会被拒绝，直接把拒绝原因告诉用户即可，不要换写法重试。
- 每个用户有冷却时间；遇到「操作太频繁」时请让用户稍后再试，不要连续重复调用。
- 价格数据来自第三方聚合，提醒用户以注册商官网为准。
What ships with it
4 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.
- yesterday First seen · 45 lines · 70 tokens per session scan A a55c4e090e36
nettools is a skill published in the GitHub repository zhinjs/zhin (136 stars, last pushed today), licensed MIT. It adds 70 tokens to every session and 409 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-21.
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