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 | $0.01509 |
| Opus 5.5 | $0.00012 | $0.00604 |
| Sonnet 5.5 | $0.00006 | $0.00302 |
| Haiku 4.5 | $0.00003 | $0.00151 |
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 9d 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 — 108 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) |
radar |
radar(管理远程"求职线索雷达"定期 routine — 创建/查看/立即跑/改节奏) |
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) |
evolve / evolve init / evolve dig / evolve status |
evolve(简历进化:深挖问卷 → 事实账本 → cv.md 版本 + 传导) |
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。
LinkedIn 例外:
linkedin.com/jobs/view/…链接不用截图,直接跑npm run linkedin -- <链接>(走 LinkedIn 免登录接口,JD 存进 inbox/),再按 inbox 流程评估。搜索页链接(/jobs/search?…,常带trk=missing_jd_redirect)说明原岗位已下线,没有 ID 可取。
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 radar inbox pipeline batch
单岗位 offer offers pdf contact deep apply
追踪 & 沉淀 tracker story-sync evolve
ROI 评估 training project
🛰️ radar:每 2 天云端自动扫上海/杭州 AI应用·Agent 新岗,出线索清单(/career-ops radar 管理)
⚠️ 国内 URL(Boss/拉勾/猎聘/Mokahr/飞书)90% 抓不到 JD → 截图最快
🐧 腾讯招聘搜索页整页拉:npm run tencent -- "<search.html 链接>" --days 30 --fetch
🦘 美团招聘按关键词拉:npm run meituan -- agent --city 上海,深圳 --days 21 --fetch
🔗 LinkedIn 链接 / 搜岗:npm run linkedin -- <链接> · npm run linkedin -- search "关键词" --city 上海 --days 7
🔖 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"。
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.
- 9d ago Changed · +1 lines bf6560c3b972
- 10d ago Changed · +1 lines af21fb7ea6bf
- 24d ago Changed · +4 lines 20d33cbec114
- 28d ago Changed · +3 lines 82fbd38297d8
- 2mo 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 (114 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 1,509 once invoked, about $0.0001 per session on Opus 5.5. 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.
career-ops compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| career-opsshuheng-mo/career-ops-china | Skill | 114 | yesterday | MIT | A | 30 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |