Wanwu is an enterprise platform for building AI agents, workflows, retrieval-augmented applications, and managing models in multi-tenant environments. It is designed for developers and enterprise teams delivering AI applications and integrations. The catalogue entries provide skills and agents for using the platform.
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 UnicomAI/wanwu --skill web-content-fetchergit clone --depth 1 https://github.com/UnicomAI/wanwuWrote 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/unicomai/wanwu/web-content-fetcher)<a href="https://agentmods.dev/skills/unicomai/wanwu/web-content-fetcher"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/web-content-fetcher/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/unicomai/wanwu/web-content-fetcher"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/web-content-fetcher.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 | $0.00083 | $0.00516 |
| Opus 5 | $0.00042 | $0.00258 |
| Sonnet 5 | $0.00017 | $0.00103 |
| Haiku 4.5 | $0.00008 | $0.00052 |
Grade A, and why
web-content-fetcher 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 6d 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.
curl -s "https://r.jina.ai/https://example.com" What it actually says
网页内容获取工具
当常规 web_fetch/web_search 无法获取内容时，使用替代服务获取网页 Markdown 格式内容。
支持的服务
| 优先级 | 服务 | 用法 | 适用场景 |
|---|---|---|---|
| 1 | r.jina.ai | https://r.jina.ai/{url} |
最稳定，通用性强 |
| 2 | markdown.new | https://markdown.new/{url} |
Cloudflare 保护网站 |
| 3 | defuddle.md | https://defuddle.md/{url} |
备用方案 |
使用方法
直接调用
当需要获取网页内容时，按顺序尝试：
- 首先用
web_fetch尝试获取 - 如果失败或被过滤，调用本工具
# 使用 jina.ai (首选)
curl -s "https://r.jina.ai/https://example.com"
# 使用 markdown.new (Cloudflare)
curl -s "https://markdown.new/https://example.com"
# 使用 defuddle.md (备用)
curl -s "https://defuddle.md/https://example.com"
API 格式
# 简单获取
fetch_webpage <url>
# 指定方法
fetch_webpage <url> --method jina|markdown|defuddle
示例
用户: 帮我获取 https://news.example.com/article/123 的内容
助手: (使用 r.jina.ai 获取)
工具脚本
本目录包含 fetch.sh 脚本，可直接调用：
./fetch.sh https://example.com
./fetch.sh https://example.com jina
让网页内容获取不再受限 🌐
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.
- 6d ago First seen · 72 lines · 83 tokens per session scan A 9faa4be2a694
web-content-fetcher is a skill published in the GitHub repository UnicomAI/wanwu (2,461 stars, last pushed 5d ago), licensed Apache-2.0. It adds 83 tokens to every session and 516 once invoked, about $0.0004 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 2026-09-03.
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