Borrowing it
Nothing to install: this file belongs to shuheng-mo/career-ops-china. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/shuheng-mo/career-ops-china/main/.claude/skills/career-ops/SKILL.mdgit clone --depth 1 https://github.com/shuheng-mo/career-ops-chinaWrote 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/shuheng-mo/career-ops-china/career-ops)<a href="https://agentmods.dev/skills/shuheng-mo/career-ops-china/career-ops"><img src="https://agentmods.dev/badge/skills/shuheng-mo/career-ops-china/career-ops/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/shuheng-mo/career-ops-china/career-ops"><img src="https://agentmods.dev/badge/skills/shuheng-mo/career-ops-china/career-ops.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 | $0.00030 | $0.01175 |
| Opus 5 | $0.00015 | $0.00588 |
| Sonnet 5 | $0.00006 | $0.00235 |
| Haiku 4.5 | $0.00003 | $0.00118 |
Grade A, and why
career-ops 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.
How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
career-ops — Router（中国大陆版）
Mode Routing
根据 {{mode}} 决定模式：
| 输入 | Mode |
|---|---|
| (空 / 无参数) | discovery — 显示命令菜单 |
| JD 截图（图片附件） | auto-pipeline（推荐主路径，国内 Boss/Mokahr 等反爬平台必用） |
| JD 文本（粘贴） | auto-pipeline |
| 岗位 URL（无子命令） | auto-pipeline — 但国内 URL 90% 抓不到 JD，会让用户截图 |
offer |
offer（单岗位评估 A-F） |
offers |
offers（多 offer 对比） |
contact |
contact（脉脉/微信/LinkedIn 触达） |
deep |
deep（公司调研 prompt） |
pdf |
pdf（生成定制 PDF） |
training |
training（评估课程/证书） |
project |
project（评估 portfolio 项目） |
tracker |
tracker（查看申请状态） |
pipeline |
pipeline（处理待办 URL inbox） |
apply |
apply（实时表单填写助手） |
scan |
scan（线索发现，仅 URL+标题，不取 JD） |
inbox |
inbox（处理 bookmarklet 捕获的 JD 文件，自动评估） |
story-sync |
story-sync（扫 reports/* 抽取 Block F，累积到 story-bank.md） |
batch |
batch（批量处理） |
Auto-pipeline 检测： 如果 {{mode}} 不是已知子命令但包含：
- JD 文本（出现关键词："岗位职责"、"任职要求"、"工作描述"、"responsibilities"、"requirements"、公司名 + 岗位名）
- 图片附件（截图）
- 岗位 URL
→ 执行 auto-pipeline。
如果 {{mode}} 既不是子命令也不像 JD，显示 discovery。
🇨🇳 中国大陆使用规则：
如果用户给的是国内招聘门户 URL（zhipin.com / liepin.com / lagou.com / mokahr.com / feishu.cn 等），先尝试 WebFetch 一次，失败就立刻停止自动化尝试，让用户截图给你。不要在反爬上反复挣扎。
Discovery Mode（无参数时）
输出下面这段紧凑 cheatsheet（不要展开成长版菜单；输入框上方已有 argument-hint，正文不需重复列子命令的全部说明）：
career-ops — 中国大陆求职指挥中心
🎯 主路径：JD 截图 / 粘贴文本 / 公司+岗位 URL → 直接发给我 → 自动评估 + report + PDF + tracker
⚡ 子命令（/career-ops <name>）：
线索 & 批处理 scan inbox pipeline batch
单岗位 offer offers pdf contact deep apply
追踪 & 沉淀 tracker story-sync
ROI 评估 training project
⚠️ 国内 URL（Boss/拉勾/猎聘/Mokahr/飞书）90% 抓不到 JD → 截图最快
🔖 bookmarklet：tools/README.md（一次安装，之后任意 JD 页一键 → inbox）
不确定哪个？直接发 JD 给我（auto-pipeline 默认），或问"<name> 怎么用"。
Context Loading by Mode
After determining the mode, load the necessary files before executing:
Modes that require _shared.md + their mode file:
Read modes/_shared.md + modes/{mode}.md
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 · 99 lines · 30 tokens per session scan A 0b68a8145138
career-ops is a skill published in the GitHub repository shuheng-mo/career-ops-china (99 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 1,175 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.
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magpie-security-issue-import-from-md
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