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.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/instructions/shuheng-mo/career-ops-china/claude-md)<a href="https://agentmods.dev/instructions/shuheng-mo/career-ops-china/claude-md"><img src="https://agentmods.dev/badge/instructions/shuheng-mo/career-ops-china/claude-md/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/instructions/shuheng-mo/career-ops-china/claude-md"><img src="https://agentmods.dev/badge/instructions/shuheng-mo/career-ops-china/claude-md.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 | $0.04493 | $0.04493 |
| Opus 5 | $0.02246 | $0.02246 |
| Sonnet 5 | $0.00899 | $0.00899 |
| Haiku 4.5 | $0.00449 | $0.00449 |
Grade A, and why
career-ops-china CLAUDE.md 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.
How it starts
The opening of the file, as written. The whole thing — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Career-Ops -- AI Job Search Pipeline（中国大陆版）
Origin
This system was built and used by santifer to evaluate 740+ job offers, generate 100+ tailored CVs, and land a Head of Applied AI role.
This fork has been deeply customized for the China mainland job market — Chinese language by default, archetypes adapted for 数据工程 / 数据治理 / 数据仓库 / 大模型 / AI Infra / 后端 / 平台 roles, salary research sources switched to 看准网/脉脉/OfferShow/知乎/一亩三分地, portals.yml populated with Chinese tech giants and AI unicorns, and login-wall handling for Boss直聘/拉勾/猎聘.
The portfolio that goes with the original system is also open source: cv-santiago.
It will work out of the box, but it's designed to be made yours. If the archetypes don't match your career, the scoring doesn't fit your priorities -- just ask. You (Claude) can edit any file in this system. 用户说「改 archetype 到 后端 + 推荐算法」你就直接改。这就是这个系统的目的。
What is career-ops
AI-powered job search automation built on Claude Code: pipeline tracking, offer evaluation, CV generation, portal scanning, batch processing.
Main Files
| File | Function |
|---|---|
data/applications.md |
Application tracker |
data/pipeline.md |
Inbox of pending URLs |
data/scan-history.tsv |
Scanner dedup history |
portals.yml |
Query and company config |
templates/cv-template.html |
HTML template for CVs |
tools/generate-pdf.mjs |
Puppeteer: HTML to PDF |
article-digest.md |
Compact proof points from portfolio (optional) |
interview-prep/story-bank.md |
Accumulated STAR+R stories across evaluations |
reports/ |
Evaluation reports (format: {###}-{company-slug}-{YYYY-MM-DD}.md) |
First Run — Onboarding（重要）
做任何事之前，先检查系统是否已配置。 每个 session 开始都静默执行下面这些检查：
cv.md是否存在？config/profile.yml是否存在（不只是 profile.example.yml）？modes/_profile.md是否存在？如果modes/_profile.template.md存在而_profile.md不存在，复制 template →_profile.mdconfig/target_pool.md是否存在？如果config/target_pool.template.md存在而target_pool.md不存在，复制 template →target_pool.mdportals.yml是否存在？（中国大陆版默认已存在，不需要重新创建）
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 · 286 lines · 4,493 tokens per session scan A 464b99158b93
career-ops-china CLAUDE.md is an instructions file published in the GitHub repository shuheng-mo/career-ops-china (98 stars, last pushed yesterday), licensed MIT. It adds 4,493 tokens to every session, about $0.0225 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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