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 chenxiachan/xhs-claude-skills --skill xhs-analyzegit clone --depth 1 https://github.com/chenxiachan/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/chenxiachan/xhs-claude-skills/xhs-analyze)<a href="https://agentmods.dev/skills/chenxiachan/xhs-claude-skills/xhs-analyze"><img src="https://agentmods.dev/badge/skills/chenxiachan/xhs-claude-skills/xhs-analyze/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/chenxiachan/xhs-claude-skills/xhs-analyze"><img src="https://agentmods.dev/badge/skills/chenxiachan/xhs-claude-skills/xhs-analyze.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 | $0.00025 | $0.00323 |
| Opus 5 | $0.00013 | $0.00161 |
| Sonnet 5 | $0.00005 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
xhs-analyze 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 13d 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
用户希望对已提取的小红书收藏做 AI 分析。
常量定义
- Obsidian 保存目录:
~/Documents/Obsidian Vault/xhs
输入
用户查询: $ARGUMENTS
流程
步骤 1：加载数据
读取 <Obsidian 保存目录> 下所有 .md 文件（排除 img/video 子目录）。
如果用户指定了关键词，在文件名和内容中搜索匹配的帖子。 如果参数为空，读取全部帖子进行总览分析。
步骤 2：AI 分析
根据内容类型和用户意图，选择合适的分析方式：
如果是教程/攻略类内容：
- 提炼核心步骤为编号清单
- 如有多篇同类内容，做对比总结
如果是知识/科普类内容：
- 提炼关键知识点
- 整理为结构化笔记
总览分析（无参数时）：
- 收藏内容的主题分布
- 高频标签和关注领域
- 推荐可以深入整理的主题
步骤 3：输出格式
用清晰的中文 Markdown 格式输出分析结果。
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.
- 13d ago First seen · 43 lines · 25 tokens per session scan A 5fa09e133f23
xhs-analyze is a skill published in the GitHub repository chenxiachan/xhs-claude-skills (416 stars, last pushed 29d ago), licensed MIT. It adds 25 tokens to every session and 323 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 2026-08-30.
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