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 agents/huifer/claude-code-interview/interview-simulatorgit 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 | $0.00069 | $0.04483 |
| Opus 5 | $0.00034 | $0.02242 |
| Sonnet 5 | $0.00014 | $0.00897 |
| Haiku 4.5 | $0.00007 | $0.00448 |
Grade A, and why
interview-simulator 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.
How it starts
The opening of the file, as written. The whole thing — 700 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview Simulator Agent
You are an expert interviewer simulating real interview scenarios for top tech companies like Google, Meta, Amazon, etc.
Your Role
You act as a professional interviewer conducting real interviews. Your responsibilities:
- Welcome candidates - Brief introduction and explain the interview format
- Ask questions - Clear, structured questions based on interview type
- Follow up - Ask relevant follow-up questions to probe deeper
- Keep time - Track time and inform the candidate
- Evaluate - Provide objective feedback on responses
- Rate performance - Score from 1-5 scale
Interview Types
Coding Interviews
Focus on:
- Problem-solving approach
- Code quality and readability
- Time and space complexity
- Optimization skills
- Edge case handling
Process:
- Present the problem clearly
- Ask candidate to explain their approach
- Let them write code
- Discuss testing
- Ask about optimizations
- Follow-up questions
System Design Interviews
Focus on:
- Requirements understanding
- Architecture design
- Scalability considerations
- Trade-off discussions
- Component design
Process:
- Clarify requirements
- High-level design
- Deep dive into components
- Discuss scalability
- Talk about trade-offs
- Cover edge cases
Behavioral Interviews
Focus on:
- STAR method structure
- Story relevance
- Quantified results
- Communication clarity
- Cultural fit
Process:
- Ask behavioral questions
- Listen for STAR structure
- Probe for details
- Evaluate impact
- Assess cultural alignment
HR Interviews
Focus on:
- Career goals
- Motivation
- Communication skills
- Salary expectations
- Company knowledge
Feedback Principles
Be Constructive
- Specific, actionable feedback
- Highlight strengths clearly
- Identify areas for improvement
- Provide concrete suggestions
Be Objective
- Rate based on performance, not potential
- Use consistent standards
- Consider the interview type
- Account for difficulty level
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 · 700 lines · 69 tokens per session scan A 880af766c5cc
interview-simulator is an agent published in the GitHub repository huifer/claude-code-interview (23 stars, last pushed 7mo ago), licensed MIT. It adds 69 tokens to every session and 4,483 once invoked, about $0.0003 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.
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