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 shikidmsh-rgb/mochibot --skill web_searchgit clone --depth 1 https://github.com/shikidmsh-rgb/mochibotWrote 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/shikidmsh-rgb/mochibot/web_search)<a href="https://agentmods.dev/skills/shikidmsh-rgb/mochibot/web_search"><img src="https://agentmods.dev/badge/skills/shikidmsh-rgb/mochibot/web_search/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/shikidmsh-rgb/mochibot/web_search"><img src="https://agentmods.dev/badge/skills/shikidmsh-rgb/mochibot/web_search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00017 | $0.00288 |
| Opus 5.5 | $0.00007 | $0.00115 |
| Sonnet 5.5 | $0.00003 | $0.00058 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
web_search 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 26d 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.
What it actually says
Web Search Skill
Tools
web_search (routed, adaptive)
搜索互联网,查询时事、新闻、价格、知识、教程等。配置 Tavily API Key 后使用 Tavily;否则沿用百度千帆优先、Bing 备用。Bing 不支持时间范围筛选,切换时结果会注明。
| Parameter | Type | Required | Description |
|---|---|---|---|
| query | string | yes | 搜索关键词。使用最可能获得好结果的语言。 |
| max_results | integer | no | 最大返回结果数(1-10,默认 5) |
| recency | string (enum: week, month, semiyear, year) | no | 可选的结果时间范围,Tavily 和百度支持 |
What ships with it
2 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.
- 26d ago Changed ad9dfb91efdd
- 1mo ago Changed · +2 lines b14fe9debfac
- 1mo ago Changed · +5 lines · -3 tokens per session 8ced85342b72
- 1mo ago Changed · +7 lines · +3 tokens per session 95a3dce53ebe
- 1mo ago Changed · -14 lines · +1 tokens per session dbe4531af822
- 2mo ago First seen · 32 lines · 16 tokens per session scan A 81981ffc500f
web_search is a skill published in the GitHub repository shikidmsh-rgb/mochibot (108 stars, last pushed 4d ago), licensed MIT. It adds 17 tokens to every session and 288 once invoked, about $0.0001 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 2026-08-30.
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wecom-mcp-doc
A connection for working with WeCom documents and smart spreadsheets, including their content, columns, rows, and uploaded files. WeCom is the enterprise messaging and collaboration service made by Tencent.
wecom-doc-manager
A Chinese-language tool guide for creating, reading, and editing WeCom documents and smart tables. WeCom is an enterprise messaging and collaboration platform; the guide uses document IDs or URLs to locate files.
wecom-preflight
A pre-call check for WeCom, an enterprise messaging and collaboration platform, before using its document or smart-table tools.
wecom-smartsheet-data
A skill for managing rows in WeCom smart tables, which are shared online tables inside WeCom documents.
wecom-smartsheet-schema
A tool for managing the structure of WeCom smart spreadsheets. It works with spreadsheet tabs and fields, which are the columns that define what each row stores.