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 szsip239/teamclaw --skill multi-search-enginegit clone --depth 1 https://github.com/szsip239/teamclawWrote 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/szsip239/teamclaw/multi-search-engine)<a href="https://agentmods.dev/skills/szsip239/teamclaw/multi-search-engine"><img src="https://agentmods.dev/badge/skills/szsip239/teamclaw/multi-search-engine/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/szsip239/teamclaw/multi-search-engine"><img src="https://agentmods.dev/badge/skills/szsip239/teamclaw/multi-search-engine.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 | $0.00046 | $0.00988 |
| Opus 5.5 | $0.00018 | $0.00395 |
| Sonnet 5.5 | $0.00009 | $0.00198 |
| Haiku 4.5 | $0.00005 | $0.00099 |
Grade A, and why
multi-search-engine 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 1mo 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.
This is a copy
100% identical to multi-search-engine — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi Search Engine v2.0.1
Integration of 17 search engines for web crawling without API keys.
Search Engines
Domestic (8)
- Baidu:
https://www.baidu.com/s?wd={keyword} - Bing CN:
https://cn.bing.com/search?q={keyword}&ensearch=0 - Bing INT:
https://cn.bing.com/search?q={keyword}&ensearch=1 - 360:
https://www.so.com/s?q={keyword} - Sogou:
https://sogou.com/web?query={keyword} - WeChat:
https://wx.sogou.com/weixin?type=2&query={keyword} - Toutiao:
https://so.toutiao.com/search?keyword={keyword} - Jisilu:
https://www.jisilu.cn/explore/?keyword={keyword}
International (9)
- Google:
https://www.google.com/search?q={keyword} - Google HK:
https://www.google.com.hk/search?q={keyword} - DuckDuckGo:
https://duckduckgo.com/html/?q={keyword} - Yahoo:
https://search.yahoo.com/search?p={keyword} - Startpage:
https://www.startpage.com/sp/search?query={keyword} - Brave:
https://search.brave.com/search?q={keyword} - Ecosia:
https://www.ecosia.org/search?q={keyword} - Qwant:
https://www.qwant.com/?q={keyword} - WolframAlpha:
https://www.wolframalpha.com/input?i={keyword}
Quick Examples
// Basic search
web_fetch({"url": "https://www.google.com/search?q=python+tutorial"})
// Site-specific
web_fetch({"url": "https://www.google.com/search?q=site:github.com+react"})
// File type
web_fetch({"url": "https://www.google.com/search?q=machine+learning+filetype:pdf"})
// Time filter (past week)
web_fetch({"url": "https://www.google.com/search?q=ai+news&tbs=qdr:w"})
// Privacy search
web_fetch({"url": "https://duckduckgo.com/html/?q=privacy+tools"})
// DuckDuckGo Bangs
web_fetch({"url": "https://duckduckgo.com/html/?q=!gh+tensorflow"})
// Knowledge calculation
web_fetch({"url": "https://www.wolframalpha.com/input?i=100+USD+to+CNY"})
Advanced Operators
| Operator | Example | Description |
|---|---|---|
site: |
site:github.com python |
Search within site |
filetype: |
filetype:pdf report |
Specific file type |
"" |
"machine learning" |
Exact match |
- |
python -snake |
Exclude term |
OR |
cat OR dog |
Either term |
What ships with it
5 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.
- 1mo ago First seen · 111 lines · 46 tokens per session scan A ef2d2706e82a
multi-search-engine is a skill published in the GitHub repository szsip239/teamclaw (112 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 988 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to multi-search-engine, differing in 0 lines, and is treated as a copy.
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