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 DuckWu/xhs-claude-skills --skill xhs-batchgit clone --depth 1 https://github.com/DuckWu/xhs-claude-skillsWrote 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/duckwu/xhs-claude-skills/xhs-batch)<a href="https://agentmods.dev/skills/duckwu/xhs-claude-skills/xhs-batch"><img src="https://agentmods.dev/badge/skills/duckwu/xhs-claude-skills/xhs-batch/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/duckwu/xhs-claude-skills/xhs-batch"><img src="https://agentmods.dev/badge/skills/duckwu/xhs-claude-skills/xhs-batch.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 | $0.00023 | $0.00470 |
| Opus 5 | $0.00012 | $0.00235 |
| Sonnet 5 | $0.00005 | $0.00094 |
| Haiku 4.5 | $0.00002 | $0.00047 |
Grade A, and why
xhs-batch 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 11d 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
用户希望批量提取多个小红书帖子。请按以下步骤处理：
常量定义
- Cookies 文件:
~/cookies.json - Obsidian 保存目录:
~/Documents/Obsidian Vault/xhs- 若路径不存在，自动检测 Obsidian vault 位置
- Windows 用户常见路径:
~/Documents/Obsidian/或自定义位置，请按实际情况修改
- Whisper 模型:
- macOS:
mlx-community/whisper-large-v3-turbo（使用 mlx-whisper） - Windows/Linux:
large-v3（使用 openai-whisper）
- macOS:
输入
用户提供的链接列表: $ARGUMENTS
流程
步骤 1：解析链接
从输入中提取所有小红书链接（支持多行、空格分隔、逗号分隔）。 每个链接提取帖子 ID 和 xsec_token。
步骤 2：检查 Cookies
检查 ~/cookies.json 是否存在。如不存在，按 /xhs 的步骤 0 引导用户导出。
步骤 3：逐个提取
对每个链接，执行 /xhs 的完整提取流程（步骤 2-4）：
- 请求页面 → 解析 INITIAL_STATE
- 视频帖子做语音转录
- 按 Peter Thiel 风格整理
- 保存为
{YYYY-MM-DD} {短标题}.md
每个帖子之间间隔 3 秒，避免触发反爬。
步骤 4：汇总报告
全部完成后，输出简短汇总：
- 成功/失败数量
- 每个帖子的文件名和一句话摘要
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.
- 11d ago First seen · 45 lines · 23 tokens per session scan A e13bfa468bbd
xhs-batch is a skill published in the GitHub repository DuckWu/xhs-claude-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 470 once invoked, about $0.0001 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 2026-08-31.
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