boss-auto-job: Instructions file for Codex

AGENTS.md

boss-auto-job AGENTS.md is an instructions file for Codex, OpenCode from xiarongwen/boss-auto-job. It costs 989 tokens per session, scanned A, original, MIT.

Instructions for a tool that searches BOSS Zhipin, a Chinese job-search platform, matches listings to a résumé, and prepares or sends recruiter messages. It also describes résumé optimization from job descriptions.

In plain words
What is it for?
Use them to search by role and Chinese city, compare jobs with a résumé, optimize a résumé for a listing, draft personalized greetings, and send messages after confirmation.
Why use it?
They organize job searching and résumé matching, reducing the manual work of finding suitable listings and writing initial messages.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is xiarongwen/boss-auto-job's own configuration. It tells Codex and OpenCode how to work on boss-auto-job itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything boss-auto-job configures →

Reuse

Borrowing it

Nothing to install: this file belongs to xiarongwen/boss-auto-job. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/xiarongwen/boss-auto-job/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/xiarongwen/boss-auto-job

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 989 This file is loaded in full into every session.
When invoked 989 The same file — it is already loaded in full.
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 $0.00989 $0.00989
Opus 5 $0.00495 $0.00495
Sonnet 5 $0.00198 $0.00198
Haiku 4.5 $0.00099 $0.00099

Measured 12d ago against content hash 65005a9ea252, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

boss-auto-job 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 12d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 110 lines

What it actually says

Boss Auto Job — Skill Instructions

在 BOSS 直聘上自动搜索职位、匹配简历、生成打招呼语、发送消息。

何时使用

当用户提到以下关键词时激活此技能:

  • 找工作、求职、投简历、看机会
  • BOSS直聘、BOSS、招聘
  • 搜索职位、发消息、打招呼
  • 简历匹配

前置条件

pip install "camoufox[geoip]" && camoufox fetch

简历文件:~/.hermes/credentials/resume.txt

工具

项目路径下有一个 boss CLI,支持以下命令:

搜索职位

./boss search "关键词" --city 深圳 --area 南山 --pages 2
  • --city: 城市名(北京/上海/深圳/杭州/成都/广州/南京/武汉/西安/苏州/天津)或城市代码
  • --area: 区域过滤,如 南山、海淀、朝阳
  • --pages: 页数(默认1,最多3)

搜索 + 简历匹配

./boss search "AI前端" --city 深圳 --match --top 5

搜索 + 匹配 + 自动发送

./boss search "Agent应用开发" --city 深圳 --match --send --top 3

发送消息

./boss send <job_id> "你好,我对这个职位很感兴趣"

其他

./boss optimize <job_id> <resume.pdf>   # 根据JD优化简历(支持PDF/Word)
./boss resume       # 查看简历
./boss cities       # 查看城市代码

工作流程

当用户说"帮我找XX方面的工作"时:

  1. 理解需求 — 确认关键词、城市、区域
  2. 搜索./boss search "关键词" --city 城市 --area 区域
  3. 匹配 — 如果用户有简历,加 --match --top N
  4. 展示结果 — 列出匹配度最高的职位,让用户选择
  5. 生成招呼语 — Agent 根据 JD + 简历内容直接生成个性化招呼语(见下方规则)
  6. 确认发送 — 让用户确认后再发(不要自动发!)
  7. 发送./boss send <job_id> "招呼语"

招呼语生成规则

不使用固定模板。 Agent 根据每个职位的 JD 和候选人简历直接生成个性化招呼语。

  • 从 JD 提取 2-3 个关键需求,与简历中的对应经验/技能匹配
  • 语气自然真诚,像在和招聘者对话,不要像在念简历
  • 不要以"您好"千篇一律开头,用更自然的方式切入
  • 体现对该具体公司/岗位的兴趣(从 JD 中提取线索)
  • 总长度 80-150 个中文字符
  • 结尾礼貌地表达沟通意愿
  • 每条消息都应该是独特的,体现这个 JD 和这份简历的特定匹配点

安全规则(必须遵守)

情况 行动
Code 0 正常处理
Code 37 自动生成 zp_stoken,重试 1 次
Code 36 立即停止,告诉用户"请在浏览器中打开 zhipin.com 完成验证后告诉我"
Code 32 立即停止,告诉用户"请在浏览器中完成验证,并手动发一条消息后告诉我"
Code 1006 等待 10 秒重试

绝不重试 Code 36/32,否则会升级封禁。

频率限制

  • 搜索间隔:3-5 秒
  • 发送间隔:5 秒
  • 单次搜索:最多 3 页
  • 单次发送:最多 5 条
  • 每日发送:不超过 20 条

技术文档

  • REVERSE_ENGINEERING.md — BOSS 风控逆向分析
  • BYPASS_SOLUTION.md — 绕过方案
  • SKILL.md — 完整技术文档
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. 12d ago First seen · 110 lines · 989 tokens per session scan A 65005a9ea252

Subscribe to this mod's changes

boss-auto-job AGENTS.md is an instructions file published in the GitHub repository xiarongwen/boss-auto-job (21 stars, last pushed 4mo ago), licensed MIT. It adds 989 tokens to every session, about $0.0049 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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