Borrowing it
Nothing to install: this file belongs to chenzhiyong1994/career-os. 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/chenzhiyong1994/career-os/main/AGENTS.mdgit clone --depth 1 https://github.com/chenzhiyong1994/career-osWrote 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/chenzhiyong1994/career-os/agents-md)<a href="https://agentmods.dev/instructions/chenzhiyong1994/career-os/agents-md"><img src="https://agentmods.dev/badge/instructions/chenzhiyong1994/career-os/agents-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/chenzhiyong1994/career-os/agents-md"><img src="https://agentmods.dev/badge/instructions/chenzhiyong1994/career-os/agents-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 | $0.00794 | $0.00794 |
| Opus 5 | $0.00397 | $0.00397 |
| Sonnet 5 | $0.00159 | $0.00159 |
| Haiku 4.5 | $0.00079 | $0.00079 |
Grade A, and why
career-os AGENTS.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 2d 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.
What it actually says
Career OS Agent 说明
产品定位与范围
Career OS 从用户已有简历出发，帮助搜索和查询目标岗位、判断匹配度，并针对明确岗位微调已有简历内容。
- 核心链路：已有简历与求职条件 → 岗位搜索与核验 → JD 分析与岗位比较 → 可选的岗位定制微调。
- 简历微调只调整与目标 JD 有关的摘要、经历措辞、关键词和内容顺序，保留原始简历作为事实基线。
- 不承担从零生成简历、脱离岗位的通用简历优化、简历排版与 HTML/PDF 等成品导出。
- 不承担作品集或个人主页维护，也不承接项目汇报、演讲和作品展示材料。
- 搜索与材料微调不包含自动投递、代发消息或联系招聘方。
核心工作对象
resume baseline：用户已有简历及明确补充的事实，是岗位匹配和内容微调的依据。search brief：目标岗位、地点、级别、行业、薪资、工作方式和排除条件；区分硬约束与偏好。job shortlist：去重后的岗位候选清单，保留来源、核验时间、招聘状态、匹配理由和缺口。JD scorecard：具体岗位的明确要求、推断信号、关键词、证据映射和风险。resume adjustments：针对某个岗位的局部内容修改，包含原文、替换文本、JD 依据和事实来源。
Skill 路由
- 搜索岗位、查询招聘状态、更新或比较候选岗位清单：使用 job-search。
- 理解具体 JD、分析职责和要求、判断与已有简历的匹配：使用 jd-analysis。
- 已有简历和明确目标 JD 均可用，且用户要求岗位定制微调：使用 resume-tailor。仅分析岗位时不自动改简历。
核心约束
- 复用已提供的简历和条件。缺少简历时不编造候选人背景；仍可处理不依赖个人资料的岗位查询。
- 岗位搜索和招聘状态查询使用当前可用的联网搜索、连接器或浏览器。保留来源与核验时间；搜索摘要、旧页面和无法访问的岗位只能标记为待核验线索。
- 岗位要求中的推断和简历中尚无证据的能力必须明确标记。不得编造候选人的指标、公司、日期、教育、证书、职责或结果。
- 简历微调不得把参与改成主导、把相邻经验改成直接经验，或把 JD 的要求写成候选人事实。
- 搜索词只使用必要的岗位与能力信息，不向搜索引擎上传整份简历、联系方式或内部材料。公开示例遵循 隐私与脱敏规则。
- 已有私人简历、附件及历史本地产物继续保留在被忽略目录；退出范围不等于授权清理用户资料。
验证入口
修改技能后运行当前环境 skill-creator 提供的 scripts/quick_validate.py，并核对入口、界面元数据和引用一致；其他检查见 CONTRIBUTING.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.
- 2d ago Changed · +3 lines · -98 tokens per session 86b57c28abc3
- 12d ago First seen · 36 lines · 892 tokens per session scan A cb6c83016038
career-os AGENTS.md is an instructions file published in the GitHub repository chenzhiyong1994/career-os (3 stars, last pushed 3d ago), licensed MIT. It adds 794 tokens to every session, about $0.0040 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 2026-08-31.
Other instructions, from other repositories
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).