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 malue-ai/dazee-small --skill web-scrapergit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/web-scraper)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/web-scraper"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/web-scraper/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/malue-ai/dazee-small/web-scraper"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/web-scraper.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 | $0.02262 |
| Opus 5 | $0.00023 | $0.01131 |
| Sonnet 5 | $0.00009 | $0.00452 |
| Haiku 4.5 | $0.00005 | $0.00226 |
Grade A, and why
web-scraper 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Scraper (Crawl4AI)
基于 Crawl4AI 的高性能网页爬虫。Crawl4AI 是 2025 年 GitHub #1 Trending 项目（59k+ Stars），专为 AI Agent 和 LLM 设计。
核心优势
| 特性 | 说明 |
|---|---|
| 🏆 业界标杆 | 59k+ GitHub Stars，Apache-2.0 开源 |
| 💰 完全免费 | 无需任何 API Key |
| 🛡️ 强反爬 | Playwright 浏览器引擎 + stealth 模式 + 随机 UA |
| 🚀 极速 | 异步并发 + 内存自适应调度，比替代方案快 6x |
| 🎯 LLM 优化 | 自动输出干净 Markdown，适合 RAG 和 LLM 消费 |
| 📄 动态页面 | 支持 JavaScript 渲染、无限滚动、SPA |
| 🔧 智能提取 | PruningContentFilter 自动去除噪声内容 |
使用场景
- 用户说「帮我读取这篇文章」「抓取这个网页」
- 用户说「收集最近的新闻」「整理行业资讯」
- 批量抓取搜索结果中的网页完整内容
- 可作为深度调研流程的内容获取层
技术栈
Crawl4AI v0.8.x
├── Playwright (Chromium 浏览器引擎)
├── AsyncWebCrawler (异步并发)
├── PruningContentFilter (智能内容过滤)
├── DefaultMarkdownGenerator (Markdown 生成)
└── MemoryAdaptiveDispatcher (内存自适应调度)
快速开始
单个 URL
from crawl4ai import AsyncWebCrawler
async with AsyncWebCrawler() as crawler:
result = await crawler.arun("https://example.com")
print(result.markdown) # 干净的 Markdown
批量并发
from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, CacheMode
urls = [
"https://36kr.com/article1",
"https://techcrunch.com/article2",
"https://theverge.com/article3",
]
config = CrawlerRunConfig(cache_mode=CacheMode.BYPASS)
async with AsyncWebCrawler() as crawler:
results = await crawler.arun_many(urls, config=config)
for result in results:
if result.success:
print(f"✅ {result.url}: {len(result.markdown.raw_markdown)} chars")
智能内容过滤
from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
from crawl4ai.content_filter_strategy import PruningContentFilter
from crawl4ai.markdown_generation_strategy import DefaultMarkdownGenerator
config = CrawlerRunConfig(
cache_mode=CacheMode.BYPASS,
markdown_generator=DefaultMarkdownGenerator(
content_filter=PruningContentFilter(threshold=0.4, threshold_type="fixed")
),
)
async with AsyncWebCrawler() as crawler:
result = await crawler.arun("https://news.ycombinator.com", config=config)
print(result.markdown.fit_markdown) # 过滤后的高质量内容
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.
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.
- 9d ago First seen · 287 lines · 46 tokens per session scan A b3facacc48b4
web-scraper is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 46 tokens to every session and 2,262 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 2026-09-03.
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