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/setup.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/setup)<a href="https://agentmods.dev/commands/huifer/claude-code-interview/setup"><img src="https://agentmods.dev/badge/commands/huifer/claude-code-interview/setup/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/setup"><img src="https://agentmods.dev/badge/commands/huifer/claude-code-interview/setup.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 | $0.00028 | $0.02945 |
| Opus 5.5 | $0.00011 | $0.01178 |
| Sonnet 5.5 | $0.00006 | $0.00589 |
| Haiku 4.5 | $0.00003 | $0.00295 |
Grade A, and why
setup 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.
How it starts
The opening of the file, as written. The whole thing — 418 lines — stays where its author put it; the contents beside it link to each section on GitHub.
系统初始化向导
欢迎使用 Claude Code Interview System!
本向导将引导您完成初始配置,让您快速开始使用系统管理求职和面试准备。
配置步骤
步骤 1: 创建基础数据目录结构
确保以下目录存在:
data/resume/- 简历数据data/companies/- 公司和职位数据data/interviews/- 面试记录data/questions/- 问题库data/analytics/- 进度追踪data/schemas/- JSON Schema 验证文件exports/- 导出文件templates/- 简历模板
步骤 2: 配置个人信息
询问以下信息并保存到配置文件:
必填信息:
- 姓名 - 用于生成个性化文档
- 邮箱 - 主要联系方式
- 电话 - 备用联系方式
可选信息:
- 所在地 - 城市, 国家/地区
- LinkedIn - LinkedIn个人资料链接
- GitHub - GitHub个人资料链接
- 个人网站 - 个人作品集或博客
步骤 3: 配置求职偏好
目标职位
-
目标职位类型 (可多选):
- 软件工程师 (Software Engineer)
- 前端工程师 (Frontend Engineer)
- 后端工程师 (Backend Engineer)
- 全栈工程师 (Full Stack Engineer)
- 系统架构师 (System Architect)
- 机器学习工程师 (ML Engineer)
- 数据工程师 (Data Engineer)
- DevOps工程师 (DevOps Engineer)
- 产品经理 (Product Manager)
- 其他 (请说明)
-
目标级别 (可多选):
- Junior (L1-L2)
- Mid-level (L3-L4)
- Senior (L5)
- Staff (L6)
- Principal (L7+)
-
目标地点 (可多选):
- 具体城市列表
- 是否接受远程工作
- 是否愿意 relocate
-
目标公司类型 (可多选):
- Big Tech (Google, Meta, Amazon, Microsoft, Apple)
- 独角兽创业公司
- 成长型创业公司
- 中大型公司
- 不限
薪资期望
- 期望薪资范围:
- 基础年薪范围 (例如: $150k - $200k)
- 期望的一级股票/期权
- 期望的签约奖金
- 期望的总薪酬
时间安排
- 求职时间安排:
- 开始求职日期
- 期望入职日期
- 每周可投入小时数
- 是否在职求职 (On-site job search)
步骤 4: 导入或创建简历
选项 A: 导入现有简历
如果已有简历,运行:
/resume/import <resume-file-path>
选项 B: 创建新简历
- 引导用户输入个人信息
- 逐项填写:
- 专业总结
- 技能列表
- 工作经历
- 项目经验
- 教育背景
- 认证证书
- 保存到
data/resume/base.json
步骤 5: 初始化分析数据
创建 data/analytics/progress.json:
{
"user_id": "generated-uuid",
"period": {
"start": null,
"end": null
},
"overview": {
"days_spent": 0,
"total_hours": 0,
"average_hours_per_day": 0
},
"practice_statistics": {
"technical_questions_completed": 0,
"system_design_questions_completed": 0,
"behavioral_questions_practiced": 0,
"mock_interviews_completed": 0
},
"skill_proficiency": {},
"company_progress": {},
"weak_areas": [],
"weekly_goals": []
}
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 · 418 lines · 28 tokens per session scan A 332a8acc79e5
setup is a command published in the GitHub repository huifer/claude-code-interview (27 stars, last pushed 10mo ago), licensed MIT. It adds 28 tokens to every session and 2,945 once invoked, about $0.0001 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.
setup compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| setuphuifer/claude-code-interview | Command | 27 | 10mo ago | MIT | A | 28 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |