boss-resume-filter: Instructions file for Codex

AGENTS.md

boss-resume-filter AGENTS.md is an instructions file for Codex, OpenCode from yaoyouzhong/boss-resume-filter. It costs 19,832 tokens per session, scanned A, original, MIT.

Repository instructions for a Chinese resume-screening tool that define its project structure, commands, and development rules.

In plain words
What is it for?
Use them when changing the resume scanner, candidate filtering, education checks, graphical interface, data storage, tests, or release process.
Why use it?
They give coding agents one reference for working safely in a project with a desktop interface, candidate data, storage, and screening workflows.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions AGENTS.md; mentions Codex.

This is yaoyouzhong/boss-resume-filter's own configuration. It tells Codex and OpenCode how to work on boss-resume-filter 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-resume-filter configures →

Reuse

Borrowing it

Nothing to install: this file belongs to yaoyouzhong/boss-resume-filter. 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/yaoyouzhong/boss-resume-filter/master/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/yaoyouzhong/boss-resume-filter

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for boss-resume-filter AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/yaoyouzhong/boss-resume-filter/agents-md/github.svg)](https://agentmods.dev/instructions/yaoyouzhong/boss-resume-filter/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/yaoyouzhong/boss-resume-filter/agents-md"><img src="https://agentmods.dev/badge/instructions/yaoyouzhong/boss-resume-filter/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.

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Your own site · 80×15
<a href="https://agentmods.dev/instructions/yaoyouzhong/boss-resume-filter/agents-md"><img src="https://agentmods.dev/badge/instructions/yaoyouzhong/boss-resume-filter/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19,832 This file is loaded in full into every session.
When invoked 19,832 The same file — it is already loaded in full.
Security scan A 1 finding. 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 $0.19832 $0.19832
Opus 5.5 $0.07933 $0.07933
Sonnet 5.5 $0.03966 $0.03966
Haiku 4.5 $0.01983 $0.01983

Measured 22d ago against content hash 871f5448d5f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

boss-resume-filter AGENTS.md scanned grade A with 1 finding 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 22d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- `resume_ai_profile.py` 只负责外部导入简历画像的 AI 增强提取:prompt 构建(只提取原文明确信息、禁止推测、严格 JSON)、AI 响应解析(复用 `llm_eval._repair_json_text`)、字段归一化(宁丢不错:非法形态一律丢弃,求职状态收紧为枚举避免误判"不考虑"误杀)和正则/AI 合并(AI 只补空,冲突保留正则值并记录);传输仿 `job_ai_parser.py` 自建薄层(`
AGENTS.md · 415 lines

How it starts

The opening of the file, as written. The whole thing — 415 lines — stays where its author put it; the contents beside it link to each section on GitHub.

BOSS 简历筛选器 - 项目规范

项目结构

AGENTS.md 是项目工程规范的唯一权威来源;CLAUDE.md 仅通过 @AGENTS.md 导入本文,不复制第二份规则。

boss-resume-filter/
├── .github/              # GitHub 工作流、品牌资产、Issue/PR 模板和仓库社区配置
├── diagram/              # README 使用的可缩放数据流和架构图;每个主题单独子目录
├── docs/                 # GitHub Pages 产品首页、图文手册、演示截图和办公交付材料
├── gui_main.py            # 图形界面主程序(v2.35)
├── bossmaster.py          # BOSS 扫描、筛选、联系和导出主程序
├── education_tool*.py     # 独立学历核验工具入口、配置与安全
├── *_controller.py        # 领域动作编排;不持有 Tk 控件
├── *_presenter.py         # 纯展示转换;不访问存储或网络
├── gui_*_page.py          # 七个主页面的 Tk 构建与事件绑定
├── gui_candidate_*.py     # 候选人工作台、菜单和状态表单
├── gui_contact_queue.py   # 联系候选人工作台
├── gui_*_dialog*.py       # 模型、维护等独立对话框
├── gui_*_support.py       # Shell、滚动、输入、反馈、控件和布局支持
├── ui_*.py                # 主题、布局、窗口定位和统一消息框基础设施
├── filtering.py           # 纯筛选规则
├── candidate_*.py         # 候选人流程、清理和状态诊断
├── job_identity.py        # 岗位名称归一化
├── data_schema.py         # 持久化 schema、稳定身份和纯迁移
├── storage.py             # 候选人持久化与原子写入
├── *_store.py             # 岗位配置、简历与安全 JSON 存储
├── contact_queue.py       # 联系清单持久化
├── data_recovery.py       # 数据恢复编排
├── diagnostic_package.py  # 脱敏诊断包
├── llm_eval.py            # LLM 评估与评分
├── ai_adapter.py          # 多服务商 API 适配
├── codex_adapter.py       # 本机 Codex 订阅登录、隔离文本/图片调用与取消
├── codex_image_encoding.py # 本次输入图片的像素保留与元数据清理
├── api_connectivity.py    # DNS 与模型能力探测
├── model_catalog.py       # 模型目录与端点差异分析
├── browser_connection.py  # Chrome 页面分类与限时连接
├── doc_parser.py          # 岗位需求文档解析
├── resume_parser.py       # 本地简历文本解析
├── legacy_doc_converter.py # 旧版 .doc 本机 Word 全文提取(含受保护视图回退)
├── resume_import_service.py # 受管简历副本事务替换
├── external_import_service.py # 外部渠道候选人单次导入事务、批量编排与画像编辑重算
├── job_ai_parser.py       # 岗位需求 AI 增强解析
├── resume_ai_profile.py   # 外部导入简历画像 AI 增强提取(开关制,正则优先)
├── *_diagnostics.py       # 岗位配置和候选人一致性体检
├── changelog_*.py         # CHANGELOG 解析与渲染
├── gui_dialogs.py         # 更新日志和关于弹窗
├── updater.py             # 双源自动更新
├── update_controller.py   # 定时检查、提醒状态与共享下载任务编排
├── update_store.py        # 本地更新偏好与提醒快照原子保存
├── constants.py / paths.py / subprocess_utils.py # 共享基础设施
├── build*.py              # PyInstaller 打包与发布门禁
├── *.json                 # 发布模板、岗位规则、选择器和 UI 配置
├── tests/                 # 稳定回归、导入烟测和人工测试
├── scripts/               # PR、发布、监控与辅助脚本
├── pyinstaller-hooks/     # PyInstaller 自定义 hook
├── GUI 使用说明.md        # GUI 操作说明
├── DEPLOYMENT.md          # 部署说明
└── PACKAGING.md           # 打包指南

Read the full file on GitHub · 415 lines

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. 22d ago Changed · +5 lines · +304 tokens per session 871f5448d5f5
  2. 1mo ago Changed · -2 tokens per session 154bbac5a742
  3. 1mo ago Changed 3dd386776867
  4. 1mo ago Changed · +6 lines · +761 tokens per session b4118e075fd8
  5. 1mo ago Changed · +3 lines · +305 tokens per session fa56ab5634aa
  6. 2mo ago Changed · +41 tokens per session 9aa3a2bc1fc0
  7. 2mo ago Changed · +147 tokens per session 339708f98c13
  8. 2mo ago First seen · 401 lines · 18,276 tokens per session scan A bd65324a2635

Subscribe to this mod's changes

boss-resume-filter AGENTS.md is an instructions file published in the GitHub repository yaoyouzhong/boss-resume-filter (24 stars, last pushed 22d ago), licensed MIT. It adds 19,832 tokens to every session, about $0.0793 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode