agentmods.dev

resume-builder

resume-builder is a skill for Claude Code, Codex from phanghonghao/THU-Awesome-Skills. It costs 100 tokens per session (2,297 once invoked), scanned A, original, MIT.

A data-driven tool for turning résumé information into a formatted, single-column Chinese résumé PDF. It accepts sources such as PDFs, Word files, Markdown, YAML, JSON, or spoken descriptions.

In plain words
What is it for?
Use it to extract résumé content, reorganize it into the tool's résumé structure, and generate an HTML file and printable PDF with sections for education, projects, experience, skills, and other activities.
Why use it?
It avoids manually rebuilding the same résumé layout for each source. Missing information stays empty instead of being invented, and the output can be produced through HTML or optionally LaTeX.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 8repo 3mo ago A scan 100 tokens original MIT

Good fit Use it to extract résumé content, reorganize it into the tool's résumé structure, and generate an HTML file and printable PDF with sections for education, projects, experience, skills, and other activities.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/phanghonghao/thu-awesome-skills/resume-builder
View source ↗ phanghonghao/THU-Awesome-Skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add phanghonghao/THU-Awesome-Skills --skill resume-builder
Clone the repo
git clone --depth 1 https://github.com/phanghonghao/THU-Awesome-Skills

Made for: Claude Code, Codex.

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 resume-builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/resume-builder/github.svg)](https://agentmods.dev/skills/phanghonghao/thu-awesome-skills/resume-builder)
Your own site
<a href="https://agentmods.dev/skills/phanghonghao/thu-awesome-skills/resume-builder"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/resume-builder/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.

agentmods 80×15 button for resume-builder

Your own site · 80×15
<a href="https://agentmods.dev/skills/phanghonghao/thu-awesome-skills/resume-builder"><img src="https://agentmods.dev/badge/skills/phanghonghao/thu-awesome-skills/resume-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,297 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00100 $0.02297
Opus 5.5 $0.00040 $0.00919
Sonnet 5.5 $0.00020 $0.00459
Haiku 4.5 $0.00010 $0.00230

Measured 2mo ago against content hash c68ee739e3b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

resume-builder 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 2mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/build_resume.py, scripts/extract_photo.py, scripts/render_pdf.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/resume-builder/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

resume-builder —— 数据驱动的中文简历生成器（HTML / LaTeX 双引擎）

把任意来源的简历资料，套用固定的单栏中文版式，输出为排版好的 PDF。 默认引擎不依赖 LaTeX：HTML 模板 + 系统 Chrome/Edge 无头打印（与 html2pdf 同机制）。 可选 LaTeX 引擎（--engine tex）：本机 xelatex 编译 njq 风格 ctex 模板，排印更精致。 两条路径都不使用任何 Overleaf token / cookie / API key，全程本机。

数据格式

固定结构，见 schema/resume_schema.yaml，可运行示例见 examples/resume_data_example.yaml。 板块：personal / education / projects / lab_experience / clubs / competitions / skills / social_practice。 每个经历板块都是列表，可写任意条数；字段留空或 education[].optional: true 自动不渲染。

工作流（务必按此执行）

1. 取输入并归一化成数据文件

根据用户给的资料，产出工作目录下的 resume_data.yaml（本机无 PyYAML 时改用 resume_data.json）：

  • 已有 YAML/JSON：直接用（字段对不上时按 schema 改写）。
  • PDF 简历：先用 pdf-reader（或 markitdown / pdf2word+word2md）提取文本，再由你（Claude）读内容、按 schema 重组。
  • Word 简历：用 word2md 或 markitdown 转 Markdown，再重组。
  • Markdown / TXT：直接读，按 schema 重组。
  • 纯口述：根据用户描述组装成 schema。

重组时遵循：中文姓名进 personal.name_cn、英文姓名进 name_en；经历按时间倒序；无对应内容就留空，不要编造。

2. 一条命令出 HTML + PDF（开箱即用）

python "<SKILL_DIR>/scripts/build_resume.py" resume_data.yaml --out resume.html

<SKILL_DIR> = 本 skill 目录。把脚本路径写全（含绝对路径）最稳。

这一条命令会自动： 生成 resume.html，再用系统 Chrome/Edge 无头打印自动生成同名 resume.pdf，并打印 PDF 路径与页数。

  • 只想要 HTML：加 --no-pdf
  • 指定 PDF 路径：加 --pdf 路径.pdf
  • 纸张(A4)/边距由 HTML 模板的 @page CSS 控制
  • 找不到浏览器时会优雅降级：只出 HTML 并提示用户在浏览器里手动打印

render_pdf.py 仍可作为独立工具，用于「只有 HTML、想单独转 PDF」的场景。

2b. 可选：LaTeX 引擎（--engine tex）

想要更精致的排印（ctex 中文、\titlerule 分节线、njq 风格要点列表）时，改用 tex 引擎。需要本机装好 xelatex（MiKTeX 或 TeX Live，加入 PATH）。模板 templates/classic_single.tex（风格源自 njq 简历）。

python "<SKILL_DIR>/scripts/build_resume.py" resume_data.yaml --engine tex --out resume.tex

这一条命令会自动： 生成 resume.tex → 用 xelatex 跑两遍编译出同名 resume.pdf → 报页数 → 清理中间文件（.aux/.log/.out/.synctex.gz/.fls/...，只留 .tex 与 .pdf）。

  • 只想要 .tex：加 --no-pdf
  • 数据里的 % & _ # $ { } ~ ^ \ 等特殊字符由脚本自动转义，无需手动处理
  • 证件照：复用同一条 --photo / --photo-from / personal.photo 管线，照片以 TikZ overlay 钉到页面右上角（编译两次已自动完成）
  • 必须 xelatex（ctex 中文）；脚本硬编码 xelatex，不可换 pdflatex
  • 行距溢出：模板默认 \linespread{1.8}（njq 为偏短内容撑满一页）。内容多、溢出第二页时，在 YAML 加一个 opt-in 旋钮调小： 
    tex:
  linespread: 1.3   # 1.0 紧凑 ~ 1.8 宽松
  • MiKTeX 首次编译可能自动下载 titlesec/enumitem/ctex 等宏包（慢一次）；若关了自动安装，按 .log 提示 mpm --install=<pkg>

Read the full file on GitHub · 114 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 114 lines · 100 tokens per session scan A c68ee739e3b3

Subscribe to this mod's changes

resume-builder is a skill published in the GitHub repository phanghonghao/THU-Awesome-Skills (8 stars, last pushed 3mo ago), licensed MIT. It adds 100 tokens to every session and 2,297 once invoked, about $0.0004 per session on Opus 5.5. 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.

DocumentsPDFWriting and docs
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