ASu-resume-skills README

The project's README from github.com/Claycui828/ASu-resume-skills. As one markdown file: README.md.

ASu Resume Skills

ASu Resume Skills 图标

阿酥式高密度履历生成 × 证据优先简历审计

一个负责把真实经历写得 Scope 很大,一个负责逐条检查到底大到哪里。

Build with CODEX GitHub Stars MIT License

Skill 用途 主要交付
$asu-resume-skill 阿酥式履历生成 来源映射 JSON、自包含 HTML、A4 PDF、小红书配文
$asu-resume-audit-skill 简历证据审计 原子主张、证据矩阵、夸大模式、HTML/PDF 审计报告

成品示例

Skill JSON 数据 HTML 成品 PDF 成品
$asu-resume-skill resume-data.example.json asu-resume-example.html asu-resume-example.pdf
$asu-resume-audit-skill audit-report.example.json asu-resume-audit-example.html asu-resume-audit-example.pdf

HTML 均为单文件自包含页面,下载后可直接用浏览器打开;PDF 为同一份 JSON 数据生成的 A4 版本。当前生成示例为 3 页高密度履历,覆盖 3 段经历、7 组核心项目、3 项开源贡献与 7 组技术沉淀;审计示例为 10 页完整报告,包含 16 条原子主张、15 项来源、6 类夸大模式与时间线。

安装

把下面这段直接发给 Codex:

请从这个 GitHub 仓库安装插件,并启用 asu-resume-skill 与 asu-resume-audit-skill:
https://github.com/Claycui828/ASu-resume-skills

安装完成后建议新建一个 Codex 对话,让 Skill 列表重新加载。也可以显式调用:

$asu-resume-skill 读取我的经历,查学校官方 Title,生成 Owner、0→1 和大 Scope 的中文技术履历。

$asu-resume-audit-skill 审计这份简历里的角色强度、Scope 外扩、指标口径和规划时态。

$asu-resume-skill:高密度履历生成

它会完整读取用户提供的简历、飞书文档、截图和项目材料,然后完成:

典型用法:

$asu-resume-skill

请读取我的晋升材料和现有简历,保留真实学校、公司、部门和指标。
学校要查官方 Title;项目要有模块级 Owner、0→1、技术链和大 Scope;
最终输出 HTML、PDF 和发布配文。

打招呼示例

原始招聘平台打招呼截图:

阿酥式打招呼示例

$asu-resume-audit-skill:证据优先审计

它不会用“学校不够有名”“项目听起来太大”直接推断造假,而是把每一段拆成可核验的原子主张:

每条主张只使用一个状态:已证实、部分证实、存在直接矛盾、缺乏支持 或 暂不可核验。

典型用法:

$asu-resume-audit-skill

请审计这份简历,逐条检查学校 Title、Owner、0→1、核心作者、项目指标和时间线,
生成证据矩阵、自包含 HTML 和 PDF;不要把未经证实的质疑写成事实。

两个 Skill 如何配合

  1. 用生成 Skill 建立来源映射,输出高密度履历;
  2. 用审计 Skill 把强表述拆成角色、范围、结果和因果四类主张;
  3. 对审计报告中的高风险项补设计文档、代码所有权、评审记录、指标看板或学历凭证;
  4. 将补强后的边界回写简历,再生成最终 HTML/PDF。
真实经历
   ↓
学校 Title + Owner/0→1 + 技术链 + 大 Scope
   ↓
原子主张 + 证据等级 + 夸大模式
   ↓
可发布履历 / 可复核审计报告

事实边界

文件结构

ASu-resume-skills/
├── .codex-plugin/
│   └── plugin.json
├── skills/
│   ├── asu-resume-skill/
│   │   ├── SKILL.md
│   │   ├── agents/openai.yaml
│   │   ├── assets/
│   │   ├── references/
│   │   └── scripts/
│   └── asu-resume-audit-skill/
│       ├── SKILL.md
│       ├── agents/openai.yaml
│       ├── assets/
│       ├── references/
│       └── scripts/
├── assets/
│   ├── asu-circle.png
│   └── hr-intro-example.jpg
├── examples/
│   ├── asu-resume-example.html
│   ├── asu-resume-example.pdf
│   ├── asu-resume-audit-example.html
│   ├── asu-resume-audit-example.pdf
│   ├── resume-data.example.json
│   └── audit-report.example.json
├── THIRD_PARTY_LICENSES/
│   └── Hisn00w-ASu-skills-LICENSE
├── LICENSE
└── README.md

开源协议

代码以 MIT License 发布。

ASu-resume-skills (Claycui828/ASu-resume-skills)

Searching Database…

What is this?Two matched Codex agent skills: one writes a high-density, source-verified technical resume, and the other audits any resume by breaking its claims down into evidence-checked atomic statements.
Is this a resume template, or something I run inside Codex?It is not a static template — it is a pair of Codex agent 'Skill' modules that you invoke inside a Codex coding-agent conversation, not a standalone app or website.
How do I install and load these skills?Copy the install snippet from the README and send it directly to Codex, then start a new Codex conversation so the skill list reloads, or call a skill explicitly by name ($asu-resume-skill or $asu-resume-audit-skill).
What do I need to feed the resume-generation skill?Your resume, Feishu documents, screenshots and project materials — it reads all of these together before reconstructing a verified career history.
Does the audit skill assume something is fake just because it sounds impressive?No — it never infers fraud from a school 'not being famous enough' or a project 'sounding too big'. Every claim is broken into a verifiable atomic statement tagged confirmed, partially confirmed, contradicted, unsupported, or not yet verifiable.
Any data-handling warning before I use my real resume with it?The README explicitly warns not to commit examples containing names, phone numbers, emails, internal links or employer-sensitive data to a public repository.
What does the final output actually look like?A self-contained Chinese HTML page, a 2-3 page A4 PDF, and a Xiaohongshu (Red Note) caption generated from the same JSON data. The included example resume covers 3 roles, 7 core projects, 3 open-source contributions and 7 technical write-ups.
How are the two skills meant to work together?Run the generation skill first to build a source-mapped resume, then run the audit skill to split strong statements into role, scope, outcome and causality claims. You patch high-risk gaps with design docs or code ownership proof, then regenerate the final HTML/PDF.
Can the audit skill call something a lie?No — it only describes the current evidence state for each claim and never judges a person's character or treats missing public proof as proof of falsehood.
Creator
Claycui828
Size
0.7 MB
Stars
385
Updated
CommitAug 23
Age
2mo
Commits · 90 Days