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claude-code-interview: Command for Claude Code

.claude/commands/resume/import.md

import is a command for Claude Code from huifer/claude-code-interview. It costs 15 tokens per session (2,082 once invoked), scanned B, original, MIT.

A résumé import command that reads PDF, Word, or Markdown files and converts their contents into structured résumé data.

In plain words
What is it for?
Use it to extract contact details, summaries, skills, work history, projects, education, and certifications, then save them as a JSON résumé file.
Why use it?
It saves you from re-entering an existing résumé and highlights information that may need correction or completion.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

This is huifer/claude-code-interview's own configuration. It tells Claude Code how to work on claude-code-interview 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 claude-code-interview configures →

not rated 27repo 10mo ago B scan 15 tokens original MIT
View source ↗ huifer/claude-code-interview
Reuse

Borrowing it

Nothing to install: this file belongs to huifer/claude-code-interview. 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/huifer/claude-code-interview/main/.claude/commands/resume/import.md
Clone the repo
git clone --depth 1 https://github.com/huifer/claude-code-interview

Made for: Claude Code.

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 import

README.md
[![agentmods](https://agentmods.dev/badge/commands/huifer/claude-code-interview/import/github.svg)](https://agentmods.dev/commands/huifer/claude-code-interview/import)
Your own site
<a href="https://agentmods.dev/commands/huifer/claude-code-interview/import"><img src="https://agentmods.dev/badge/commands/huifer/claude-code-interview/import/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 import

Your own site · 80×15
<a href="https://agentmods.dev/commands/huifer/claude-code-interview/import"><img src="https://agentmods.dev/badge/commands/huifer/claude-code-interview/import.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,082 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 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 $0.00015 $0.02082
Opus 5.5 $0.00006 $0.00833
Sonnet 5.5 $0.00003 $0.00416
Haiku 4.5 $0.00002 $0.00208

Measured 2mo ago against content hash 087a5c578dcc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

import scanned grade B 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 2mo 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo apt-get install pandoc
.claude/commands/resume/import.md · 330 lines

How it starts

The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.

导入现有简历

从 $ARGUMENTS 导入您的现有简历。

支持的格式

1. Markdown (.md) - 推荐 ✅

最简单的方式

  • 直接读取内容
  • 保持格式
  • 易于编辑

2. PDF (.pdf)

需要转换工具

  • 使用PDF读取工具提取文本
  • 保留基本结构
  • 可能需要手动调整

3. Word (.docx)

需要转换工具

  • 使用pandoc转换为Markdown
  • 或使用其他文档处理工具
  • 保留基本格式

工作流程

步骤 1: 读取文件

根据文件类型：

  • Markdown: 直接使用Read工具读取
  • PDF: 使用PDF读取工具提取文本
  • Word: 使用pandoc转换为Markdown后读取

步骤 2: 解析内容

提取以下信息：

  • 个人信息（姓名、联系方式）
  • 专业总结
  • 技能列表
  • 工作经历
  • 项目经验
  • 教育背景
  • 认证证书

步骤 3: 转换为JSON

将提取的信息转换为 data/resume/base.json 格式

步骤 4: 验证和编辑

  • 显示提取的信息供用户确认
  • 标记可能需要手动编辑的部分
  • 允许用户补充缺失信息

步骤 5: 保存

  • 保存到 data/resume/base.json
  • 显示导入报告

使用方法

方式 1: Markdown简历（最简单）

/resume/import /path/to/resume.md

方式 2: PDF简历

/resume/import ~/Documents/my_resume.pdf

系统将：

  1. 读取PDF内容
  2. 提取文本信息
  3. 解析结构
  4. 生成JSON

方式 3: Word简历

/resume/import ~/Documents/my_resume.docx

系统将：

  1. 使用pandoc转换为Markdown
  2. 读取转换后的内容
  3. 解析结构
  4. 生成JSON

检测的简历结构

Markdown格式示例

# 张三

邮箱: [email protected]
电话: +86 138-0000-0000
LinkedIn: linkedin.com/in/zhangsan
GitHub: github.com/zhangsan

## 专业总结
资深软件工程师，专注于分布式系统和机器学习...

## 技能
### 编程语言
- Python (专家)
- Java (熟练)
- JavaScript (熟练)

### 框架
- React
- Spring Boot
- Django

## 工作经历

### 高级软件工程师 | ABC科技公司 | 2020.06 - 至今
负责核心微服务架构设计和开发...

**成就**:
- 设计并实现高并发订单处理系统，处理能力提升300%
- 领导5人团队完成微服务迁移项目
- 优化数据库查询性能，响应时间降低50%

**技术栈**: Java, Spring Cloud, Redis, MySQL, Docker

### 软件工程师 | XYZ互联网 | 2018.07 - 2020.05
参与电商平台开发...

## 项目经验

### 分布式任务调度系统 | 创始人 | 2022.01 - 至今
GitHub: github.com/zhangsan/task-scheduler

一个可扩展的任务调度框架...

**成就**:
- GitHub stars 1k+
- 被3家公司用于生产环境

**技术**: Go, gRPC, Etcd, Docker

## 教育背景

### 计算机科学硕士 | 清华大学 | 2016.09 - 2018.06
GPA: 3.8/4.0
**荣誉**: 优秀毕业生、国家奖学金
**课程**: 分布式系统、机器学习、高级算法

### 计算机科学学士 | 北京大学 | 2012.09 - 2016.06
GPA: 3.7/4.0
**荣誉**: 一等奖学金

PDF/Word处理

PDF读取

对于PDF文件，尝试：

  1. 读取PDF文本内容
  2. 识别章节标题
  3. 提取关键信息
  4. 重建结构

注意: PDF格式解析可能不完美，建议：

  • 使用清晰的PDF模板
  • 检查导入结果
  • 手动调整缺失部分

Word转换

对于Word文件，使用pandoc：

pandoc input.docx -o temp.md

然后读取转换后的Markdown文件。

Read the full file on GitHub · 330 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. 2mo ago First seen · 330 lines · 15 tokens per session scan B 087a5c578dcc

Subscribe to this mod's changes

import is a command published in the GitHub repository huifer/claude-code-interview (27 stars, last pushed 10mo ago), licensed MIT. It adds 15 tokens to every session and 2,082 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

DocumentsPDF
Related

import compared with commands from other repositories

import next to 6 commands from other repositories
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