AWorld is an agent harness, meaning a framework that coordinates an AI agent’s tools, memory, context, and execution so expert knowledge can be turned into reusable skills and autonomous agents. It is for building domain-specific agent applications and workflows, with the catalogue entries representing skills, agents, and commands that operate within the AWorld ecosystem.
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 inclusionAI/AWorld --skill xhs-scrapergit clone --depth 1 https://github.com/inclusionAI/AWorldWrote 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/inclusionai/aworld/xhs-scraper)<a href="https://agentmods.dev/skills/inclusionai/aworld/xhs-scraper"><img src="https://agentmods.dev/badge/skills/inclusionai/aworld/xhs-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/inclusionai/aworld/xhs-scraper"><img src="https://agentmods.dev/badge/skills/inclusionai/aworld/xhs-scraper.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 | $0.00060 | $0.00435 |
| Opus 5 | $0.00030 | $0.00217 |
| Sonnet 5 | $0.00012 | $0.00087 |
| Haiku 4.5 | $0.00006 | $0.00044 |
Grade A, and why
xhs-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 10d 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
小红书抓取 (xhs-scraper)
概述
通过已连接 CDP 的浏览器（agent-browser）抓取小红书搜索结果：列表页滚动采集卡片信息，可选进入详情页获取正文，输出为 Markdown / RSS / JSON。
工具路径
- 脚本：
.claude/skills/xhs-scraper/scrape_xhs.sh - 依赖：
agent-browser（CDP 已连接）、python3
用法
./scrape_xhs.sh -k <keyword> [-p <cdp_port>] [-n <max_scrolls>] [-d <detail_count>] [-o <output_file>] [-f <format>]
参数
| 参数 | 说明 | 默认 |
|---|---|---|
-k |
搜索关键词（必填） | - |
-p |
CDP 端口 | 9222 |
-n |
列表页最大滚动次数 | 5 |
-d |
进入详情页获取正文的条数（0=仅列表） | 10 |
-o |
输出文件路径 | stdout |
-f |
格式：md | rss | json |
md |
示例
./scrape_xhs.sh -k "Agent开发工程师"
./scrape_xhs.sh -k "AI Agent岗位" -d 5 -f rss -o feed.xml
./scrape_xhs.sh -k "大模型面经" -n 10 -d 20 -f json -o data.json
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.
- 10d ago First seen · 41 lines · 60 tokens per session scan A 48c95f81d2e2
xhs-scraper is a skill published in the GitHub repository inclusionAI/AWorld (1,230 stars, last pushed today), licensed MIT. It adds 60 tokens to every session and 435 once invoked, about $0.0003 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 2026-08-30.
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