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.
curl -O https://raw.githubusercontent.com/huifer/claude-code-interview/main/.claude/commands/resume/generate.mdgit clone --depth 1 https://github.com/huifer/claude-code-interviewWrote 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.
[](https://agentmods.dev/commands/huifer/claude-code-interview/generate)<a href="https://agentmods.dev/commands/huifer/claude-code-interview/generate"><img src="https://agentmods.dev/badge/commands/huifer/claude-code-interview/generate/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.
<a href="https://agentmods.dev/commands/huifer/claude-code-interview/generate"><img src="https://agentmods.dev/badge/commands/huifer/claude-code-interview/generate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00011 | $0.00611 |
| Opus 5.5 | $0.00004 | $0.00244 |
| Sonnet 5.5 | $0.00002 | $0.00122 |
| Haiku 4.5 | $0.00001 | $0.00061 |
Grade A, and why
generate 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.
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.
What it actually says
生成Markdown简历
将简历数据转换为格式化的Markdown文档。
参数说明
- variant-name: 可选,指定要生成的简历变体
- 省略或使用 "base": 生成基础简历
- 使用公司名(如 "google"): 生成该公司定制简历
工作流程
步骤 1: 读取简历数据
- 如果指定了变体,读取
data/resume/variants/{variant}.json - 否则读取
data/resume/base.json
步骤 2: 应用模板
使用 templates/resume_template.md 模板生成简历
步骤 3: 生成Markdown
创建 exports/resumes/{name}_resume.md 文件
步骤 4: 输出结果
显示生成的文件路径和预览
简历模板结构
# {姓名}
{联系方式}
## 专业总结
{summary}
## 技能
### 编程语言
{skills.programming_languages}
### 框架和库
{skills.frameworks}
### 数据库
{skills.databases}
### 工具
{skills.tools}
### 技术概念
{skills.concepts}
## 工作经历
### {职位} | {公司} | {时间}
{工作总结}
**成就**:
- {成就1}
- {成就2}
**技术栈**: {technologies}
## 项目经验
### {项目名称} | {角色}
{项目描述}
**成就**:
- {成就1}
- {成就2}
**技术**: {technologies}
**链接**: {url}
## 教育背景
### {学位} | {学校} | {时间}
**GPA**: {gpa}
**荣誉**: {honors}
**相关课程**: {courses}
## 认证证书
{certifications}
## 语言能力
{languages}
输出示例
✅ 简历已生成: exports/resumes/google_resume.md
📄 文件内容预览:
# 张三
📧 [email protected] | 📱 +86 138-0000-0000
📍 北京, 中国
🔗 linkedin.com/in/zhangsan | 💻 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...
...
下一步操作
- 查看生成的Markdown文件
- 可以手动编辑微调
- 转换为PDF(使用pandoc或其他工具)
- 用于投递简历
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.
- 2mo ago First seen · 114 lines · 11 tokens per session scan A af99ba1fbc41
generate is a command published in the GitHub repository huifer/claude-code-interview (27 stars, last pushed 10mo ago), licensed MIT. It adds 11 tokens to every session and 611 once invoked, about $0.0000 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 2026-08-30.
generate compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| generatehuifer/claude-code-interview | Command | 27 | 10mo ago | MIT | A | 11 | Claude Code |
| brand-generateferdinandobons/brand-docs | Command | 291 | 3mo ago | MIT | A | 0 | Claude Code |
| cti-report7onez/cti-expert | Command | 622 | 15d ago | none | A | 45 | Claude Code |
| render-figuresbraininahat/brains-in-a-hat | Command | 4 | 18d ago | MIT | A | 17 | Claude Code |
| ppt-image2-editable-rebuildwwe-dog/ppt-image2-editable-rebuild | Command | 204 | 5mo ago | Unlicense | A | 15 | Claude Code |
| publish-api-docsnavraj007in/architecture-cowork-plugin | Command | 3 | 4mo ago | Apache-2.0 | A | 17 | Claude Code |
| write-patentjiutuhky/my-super-capsule | Command | 11 | 8mo ago | MIT | A | 48 | Claude Code |