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/company/list.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/list)<a href="https://agentmods.dev/commands/huifer/claude-code-interview/list"><img src="https://agentmods.dev/badge/commands/huifer/claude-code-interview/list/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/list"><img src="https://agentmods.dev/badge/commands/huifer/claude-code-interview/list.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 | $0.00009 | $0.00684 |
| Opus 5.5 | $0.00004 | $0.00274 |
| Sonnet 5.5 | $0.00002 | $0.00137 |
| Haiku 4.5 | $0.00001 | $0.00068 |
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 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
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offerrejected- 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
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 · 100 lines · 9 tokens per session scan A ed32fda10cce
list is a command published in the GitHub repository huifer/claude-code-interview (27 stars, last pushed 10mo ago), licensed MIT. It adds 9 tokens to every session and 684 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.
list compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| listhuifer/claude-code-interview | Command | 27 | 10mo ago | MIT | A | 9 | Claude Code |
| wsdanielmiessler/LifeOS | Command | 20k | yesterday | MIT | A | 0 | Claude Code |
| cancel-ralphanthropics/claude-plugins-official | Command | 46k | yesterday | Apache-2.0 | A | 4 | Claude Code |
| engage.actionshypnguyen1209/offensive-claude | Command | 412 | 15d ago | MIT | A | 11 | Claude Code |
| focusData-Wise/claude-plugins | Command | 7 | yesterday | MIT | A | 0 | Claude Code |
| stuckData-Wise/claude-plugins | Command | 7 | yesterday | MIT | A | 0 | Claude Code |
| quickstartorq-ai/assistant-plugins | Command | 6 | 2d ago | MIT | A | 23 | Claude Code |