list

A command for listing your active job applications and their current status, interview stage, preparation score, meetings, and next steps.

In plain words
What is it for?
Use it to review applications across stages such as screening, technical interviews, offers, rejection, or withdrawal, along with related preparation tasks.
Why use it?
It gives you one view of where each application stands instead of making you check separate notes or calendars.

Command for Claude Code

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.

agentmods
npx agentmods add commands/huifer/claude-code-interview/list
Clone the repo
git clone --depth 1 https://github.com/huifer/claude-code-interview

Made for: Claude Code.

Per session 9 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 684 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00009 $0.00684
Opus 5 $0.00005 $0.00342
Sonnet 5 $0.00002 $0.00137
Haiku 4.5 $0.00001 $0.00068

Measured 2d ago against content hash ed32fda10cce, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

list 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 2d 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.

.claude/commands/company/list.md · 100 lines

What it actually says

公司列表

显示您正在申请的所有公司及其当前状态。

显示内容

对每个公司显示:

  • 📌 公司名称
  • 💼 目标职位
  • 📊 申请状态
  • 📍 当前阶段
  • 📈 准备度评分
  • 🎯 下一步行动
  • 📅 面试安排(如有)

状态说明

申请状态:

  • preparing - 准备中
  • applied - 已投递
  • screening - 简历筛选
  • interviewing - 面试中
  • offer - 收到offer
  • rejected - 已拒绝
  • withdrawn - 已撤回

面试阶段:

  • resume_screen - 简历筛选
  • online_assessment - 在线测试
  • technical_round - 技术面试
  • system_design - 系统设计
  • behavioral - 行为面试
  • onsite - 现场面试
  • hr_round - HR面试

准备度评分:

  • 90-100: 非常准备充分
  • 75-89: 准备较好
  • 60-74: 需要加强
  • <60: 需要大量准备

示例输出

# 申请中的公司 (3)

## 1. Google
**职位**: Software Engineer III (L4)
**状态**: 🔄 interviewing
**阶段**: Technical Round (2/5)
**准备度**: 75/100 ⚠️
**面试安排**:
- 2025-01-15: Technical Interview (Online)
- 2025-01-20: System Design (Online)

**下一步**:
- [ ] 复习分布式系统
- [ ] 练习算法题
- [ ] 准备Google行为问题

---

## 2. Meta
**职位**: Software Engineer (E4)
**状态**: 📝 applied
**阶段**: Resume Screen
**准备度**: 65/100 ⚠️
**下一步**:
- [ ] /resume/variant meta - 创建定制简历
- [ ] /interview/prep meta - 生成准备指南

---

## 3. Amazon
**职位**: SDE II
**状态**: ✅ offer
**准备度**: 85/100 ✓
**下一步**:
- [ ] /offer/compare - 比较offer

快速操作

每个公司后面提供快速命令提示:

  • /company/view <name> - 查看详情
  • /resume/variant <name> - 创建简历变体
  • /interview/prep <name> - 面试准备
  • /interview/simulate <name> - 模拟面试

统计信息

显示总数:

  • 总申请公司数
  • 各状态数量
  • 本周面试安排
  • 整体准备度
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. 2d ago First seen · 100 lines · 9 tokens per session scan A ed32fda10cce

Subscribe to this mod's changes

list is a command published in the GitHub repository huifer/claude-code-interview (23 stars, last pushed 7mo ago), licensed MIT. It adds 9 tokens to every session and 684 once invoked, about $0.0000 per session on Opus 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.