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.
npx agentmods add commands/huifer/claude-code-interview/initgit clone --depth 1 https://github.com/huifer/claude-code-interviewWhat 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 | $0.00014 | $0.00601 |
| Opus 5 | $0.00007 | $0.00300 |
| Sonnet 5 | $0.00003 | $0.00120 |
| Haiku 4.5 | $0.00001 | $0.00060 |
Grade A, and why
init 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.
What it actually says
简历初始化向导
欢迎使用简历初始化向导！我将引导您创建基础简历。
收集步骤
1. 个人信息
请提供以下信息（可以直接填写，不确定的留空）：
- 姓名
- 邮箱
- 电话
- 所在城市
- LinkedIn URL
- GitHub URL
- 个人网站/博客
2. 专业总结
请用2-3句话总结您的专业背景和核心优势：
- 您的职业定位
- 核心技术栈
- 主要成就或特色
3. 技能清单
请按类别列出您的技能：
编程语言： 例如：Python, Java, JavaScript, Go, TypeScript
框架和库： 例如：React, Spring Boot, Django, TensorFlow
数据库： 例如：PostgreSQL, MongoDB, Redis, MySQL
工具和平台： 例如：Docker, Kubernetes, Git, AWS, Jenkins
技术概念： 例如：Microservices, REST APIs, System Design, CI/CD
4. 工作经历
按时间倒序列出您的工作经历（最近的在前）：
每份工作包括：
- 公司名称
- 职位
- 工作地点
- 开始时间（YYYY-MM格式）
- 结束时间（当前工作留空）
- 工作总结（1-2句话）
- 主要成就（列出3-5项，尽量量化）
- 使用的技术栈
5. 项目经验
列出您的重要项目（个人项目或开源项目）：
每个项目包括：
- 项目名称
- 项目描述
- 您的角色
- 开始时间
- 项目链接（如果有）
- 主要成就（3-5项）
- 使用的技术
6. 教育背景
列出您的教育经历：
每项包括：
- 学校名称
- 学位
- 专业
- 开始时间
- 结束时间
- GPA（可选）
- 荣誉奖项（可选）
- 相关课程（可选）
7. 认证证书
列出您的专业认证（如有）
8. 语言能力
列出您掌握的语言及熟练程度
下一步
信息收集完成后，我将：
- 创建
data/resume/base.json文件 - 保存您提供的信息
- 生成基础Markdown简历供预览
- 建议可以使用
/resume/generate base生成完整简历
准备好了吗？请开始提供信息。
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.
- 2d ago First seen · 97 lines · 14 tokens per session scan A 09c49b37c369
init is a command published in the GitHub repository huifer/claude-code-interview (23 stars, last pushed 7mo ago), licensed MIT. It adds 14 tokens to every session and 601 once invoked, about $0.0001 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.