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 agentmods add skills/mousaee/agent-search/smart-fetchnpx skills add Mousaee/agent-search --skill smart-fetchgit clone --depth 1 https://github.com/Mousaee/agent-searchWrote 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/mousaee/agent-search/smart-fetch)<a href="https://agentmods.dev/skills/mousaee/agent-search/smart-fetch"><img src="https://agentmods.dev/badge/skills/mousaee/agent-search/smart-fetch.svg" alt="Measured on agentmods" 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 | $0.00065 | $0.00615 |
| Opus 5 | $0.00032 | $0.00308 |
| Sonnet 5 | $0.00013 | $0.00123 |
| Haiku 4.5 | $0.00006 | $0.00061 |
Grade A, and why
smart-fetch scanned grade A with 1 finding 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
# 或 curl What it actually says
Smart Fetch — 四层降级网页抓取
当需要抓取网页内容时，按以下顺序尝试，每层失败自动降级：
Layer 1: web_fetch（最快）
直接 HTTP 请求，适合静态页面和大部分网站。
# 使用 Agent 内置的 web_fetch 工具
# 或 curl
curl -s "URL" -H "User-Agent: Mozilla/5.0"
- 成功标志：返回内容 > 200 字符
- 失败条件：error / 内容为空 / 403/404
Layer 2: Jina Reader（JS 渲染）
适合需要 JavaScript 渲染的页面。
curl -s "https://r.jina.ai/URL" -H "Accept: text/markdown"
- 成功标志：返回 markdown 内容 > 200 字符
- 失败条件：内容为空 / 超时
Layer 3: Browser Snapshot（需要登录态/交互）
使用浏览器工具的 snapshot 模式。
browser(action=navigate, targetUrl=URL, profile=openclaw)
browser(action=snapshot, compact=true, profile=openclaw)
- 成功标志：snapshot 包含有意义的文本
- 失败条件：页面空白 / 需要验证码
Layer 4: Browser Full Render（最后手段）
完整浏览器渲染，包括等待、滚动、点击展开。仅在前三层全部失败时使用。
决策逻辑
URL 输入
├─ 已知需要登录的域名 → 直接 Layer 3
├─ 已知 Jina Reader 效果好的域名 → 直接 Layer 2
└─ 其他 → Layer 1 开始，逐层降级
域名路由表
| 域名模式 | 推荐层级 | 原因 |
|---|---|---|
| .feishu.cn/wiki/ | Layer 3 | 需要登录态 |
| .feishu.cn/docx/ | Layer 3 | 需要登录态 |
| arxiv.org | Layer 1 | 静态页面 |
| github.com | Layer 1 | 静态页面 |
| x.com / twitter.com | Layer 2 | JS 渲染 |
| mp.weixin.qq.com | Layer 2 | JS 渲染 |
随着使用不断补充此表。Agent 可以自行维护路由表，记录哪些域名在哪一层成功。
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.
- 5d ago First seen · 73 lines · 65 tokens per session scan A 476e90e8a3f9
smart-fetch is a skill published in the GitHub repository Mousaee/agent-search (19 stars, last pushed 6mo ago), licensed MIT. It adds 65 tokens to every session and 615 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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