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 CES-Ltd/TitanX --skill xiaohongshu-recruitergit clone --depth 1 https://github.com/CES-Ltd/TitanXWrote 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/ces-ltd/titanx/xiaohongshu-recruiter)<a href="https://agentmods.dev/skills/ces-ltd/titanx/xiaohongshu-recruiter"><img src="https://agentmods.dev/badge/skills/ces-ltd/titanx/xiaohongshu-recruiter/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/ces-ltd/titanx/xiaohongshu-recruiter"><img src="https://agentmods.dev/badge/skills/ces-ltd/titanx/xiaohongshu-recruiter.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 | $0.00068 | $0.00739 |
| Opus 5 | $0.00034 | $0.00369 |
| Sonnet 5 | $0.00014 | $0.00148 |
| Haiku 4.5 | $0.00007 | $0.00074 |
Grade A, and why
xiaohongshu-recruiter 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.
This is a copy
100% identical to xiaohongshu-recruiter — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Xiaohongshu Recruiter (小红书招聘助手)
本技能旨在帮助用户快速、专业地在小红书发布 AI 岗位的招聘信息。通过 "Systemic Flux" 设计理念生成符合极客审美的视觉素材，并提供 Playwright 脚本实现半自动化发布。
核心工作流
简化模式（默认）
当用户仅给出一句话指令（如“发布一个前端开发工程师的招聘信息到小红书”）时：
- 不再向用户追问细节，由模型自行补全招聘信息与文案。
- 不要求用户提供邮箱或投递方式，模型自动补一个“私信联系/评论联系”的默认投递方式。
- 自动生成封面图与详情图，并直接进入发布流程。
- 自动打开浏览器，等待用户扫码登录后，自动填写图文信息并一键发布。
1. 信息收集
向用户确认（仅在用户明确要求或关键信息冲突时才询问）：
- 岗位名称 (如：Agent Designer)
- 核心职责 & 要求
- 投递邮箱
2. 生成视觉素材 (Visual Generation)
默认使用本地脚本 scripts/generate_images.js 生成图片（暂时隐藏/禁用大模型生图流程）。
- 操作：
(注：可视情况修改脚本中的文本配置)node scripts/generate_images.js - 产出：
cover.png,jd_details.png
3. 生成文案 (Content Generation)
生成符合小红书调性的文案，保存为 post_content.txt。
- 规则：参考
assets/rules.md。 - 标题：<20 字。
- 正文：包含话题标签。
4. 自动化发布 (Auto Publishing)
使用 scripts/publish_xiaohongshu.py 启动浏览器进行发布。
前置要求：
- 安装 Playwright:
pip install playwright - 安装浏览器驱动:
playwright install chromium
执行命令：
python3 scripts/publish_xiaohongshu.py "你的标题" "post_content.txt" "cover.png" "jd_details.png"
交互流程（简化一键发布）：
- 观察浏览器窗口：脚本已打开小红书创作者中心。
- 若出现登录页，请扫码登录。
- 登录完成后，脚本自动上传图片并填写标题与正文。
- 脚本自动点击“发布”完成发布；浏览器保持打开供用户确认。
资源文件
- assets/design_philosophy.md: 视觉设计哲学。
- assets/rules.md: 详细的操作规范和平台限制。
- scripts/generate_images.js: 图片生成脚本。
- scripts/publish_xiaohongshu.py: 发布自动化脚本。
What ships with it
5 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.
- 11d ago First seen · 76 lines · 68 tokens per session scan A 4c0a2e2e0fc3
xiaohongshu-recruiter is a skill published in the GitHub repository CES-Ltd/TitanX (48 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 68 tokens to every session and 739 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to xiaohongshu-recruiter, differing in 0 lines, and is treated as a copy.
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