x-recruiter

x-recruiter is a skill for Claude Code, Codex from CES-Ltd/TitanX. It costs 45 tokens per session (471 once invoked), scanned A, original, Apache-2.0.

A Chinese-language workflow for publishing AI or design job posts on X, formerly known as Twitter.

In plain words
What is it for?
Use it to create a cover image and detail image, write a post within X's character limit, and fill in the post through a Playwright browser script.
Why use it?
It collects the job details, prepares matching images and copy, and guides browser-based posting so the listing is ready to review before publishing.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create a cover image and detail image, write a post within X's character limit, and fill in the post through a Playwright browser script.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ces-ltd/titanx/x-recruiter
Install

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.

Any agent
npx skills add CES-Ltd/TitanX --skill x-recruiter
Clone the repo
git clone --depth 1 https://github.com/CES-Ltd/TitanX

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for x-recruiter

README.md
[![agentmods](https://agentmods.dev/badge/skills/ces-ltd/titanx/x-recruiter/github.svg)](https://agentmods.dev/skills/ces-ltd/titanx/x-recruiter)
Your own site
<a href="https://agentmods.dev/skills/ces-ltd/titanx/x-recruiter"><img src="https://agentmods.dev/badge/skills/ces-ltd/titanx/x-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.

agentmods 80×15 button for x-recruiter

Your own site · 80×15
<a href="https://agentmods.dev/skills/ces-ltd/titanx/x-recruiter"><img src="https://agentmods.dev/badge/skills/ces-ltd/titanx/x-recruiter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 471 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.00471
Opus 5 $0.00023 $0.00235
Sonnet 5 $0.00009 $0.00094
Haiku 4.5 $0.00005 $0.00047

Measured 9d ago against content hash 224117835bd8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

x-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 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/generate_images.js, scripts/publish_x.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

src/process/resources/skills/x-recruiter/SKILL.md · 65 lines

What it actually says

X Recruiter (X 招聘助手)

本技能用于快速在 X 发布招聘信息,包含文案规则、封面/详情图提示与自动化发布脚本。

核心工作流

1. 信息收集

向用户确认:

  • 岗位名称
  • 核心职责 & 要求
  • 投递邮箱/链接

2. 生成视觉素材

使用 scripts/generate_images.js 生成图片。

  • 操作
    node scripts/generate_images.js
    
  • 产出cover.png, jd_details.png

3. 生成文案

生成符合 X 调性的文案,控制在 280 字符内。

  • 规则:参考 assets/rules.md
  • 要求:简洁、清晰、带核心职责与投递方式。

4. 自动化发布

使用 scripts/publish_x.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_x.py "post_content.txt" "cover.png" "jd_details.png"

交互流程(更清晰的步骤说明)

  1. 观察浏览器窗口:脚本已打开 X 首页或发帖页。
  2. 若出现登录页,请完成登录。
  3. 登录完成后,脚本会自动填充文案与图片。
  4. 请在浏览器中检查内容,确认无误后点击“Post”。

资源文件

  • assets/rules.md: 文案规则与限制。
  • assets/design_philosophy.md: 视觉风格指南。
  • scripts/generate_images.js: 图片生成脚本。
  • scripts/publish_x.py: 发布自动化脚本。
Files

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.

Changes

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.

  1. 9d ago First seen · 65 lines · 45 tokens per session scan A 224117835bd8

Subscribe to this mod's changes

x-recruiter is a skill published in the GitHub repository CES-Ltd/TitanX (48 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 45 tokens to every session and 471 once invoked, about $0.0002 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.