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 skills/pramoddutta/qaskills/interview-prep-generatornpx skills add PramodDutta/qaskills --skill interview-prep-generatorgit clone --depth 1 https://github.com/PramodDutta/qaskillsWrote 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/skills/pramoddutta/qaskills/interview-prep-generator)<a href="https://agentmods.dev/skills/pramoddutta/qaskills/interview-prep-generator"><img src="https://agentmods.dev/badge/skills/pramoddutta/qaskills/interview-prep-generator.svg" alt="Measured on agentmods" 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 | $0.00016 | $0.03243 |
| Opus 5 | $0.00008 | $0.01622 |
| Sonnet 5 | $0.00003 | $0.00649 |
| Haiku 4.5 | $0.00002 | $0.00324 |
Grade A, and why
Interview Prep Generator 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 yesterday.
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 — 422 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview Prep Generator
When to Use This Skill
Use this skill when the user wants to:
- Prepare for a job interview
- Practice answering interview questions
- Create STAR stories from their experience
- Anticipate questions for a specific role
- Mentions: "interview prep", "prepare for interview", "STAR stories", "interview questions", "behavioral questions"
Core Capabilities
- Generate role-specific interview questions
- Create STAR stories from resume bullets
- Predict questions based on job description
- Prepare answers for common questions
- Create talking points for each experience
- Identify potential concerns and prepare responses
Interview Preparation Framework
Phase 1: Role Analysis
- Extract likely questions from job description
- Identify skills that will be tested
- Research company interview style
Phase 2: Story Banking
- Convert resume bullets into STAR stories
- Create stories for common competencies
- Practice concise delivery
Phase 3: Mock Preparation
- Practice common questions
- Prepare questions to ask
- Research company-specific topics
The STAR Method Detailed
Structure
- Situation: Set the context (1-2 sentences)
- Task: Describe your responsibility (1 sentence)
- Action: Explain what YOU did (2-3 sentences)
- Result: Share the outcome with metrics (1-2 sentences)
STAR Story Template
SITUATION: "At [Company], we faced [specific challenge/context]..."
TASK: "I was responsible for [specific ownership]..."
ACTION: "I [specific action 1], [specific action 2], and [specific action 3]..."
RESULT: "As a result, [quantified outcome]. This led to [business impact]."
Example STAR Story
Question: "Tell me about a time you led a team through a difficult project."
Answer:
SITUATION: "At TechCorp, our main product was losing customers to a competitor who had launched a better mobile experience. We were seeing 5% monthly churn, up from our normal 2%."
TASK: "As the product manager, I was responsible for turning around our mobile product to stop the bleeding and win back customers."
ACTION: "I started by interviewing 30 churned customers to understand exactly why they left. Based on that research, I prioritized 5 critical features that would achieve parity with competitors. I then worked with engineering to restructure our roadmap, negotiated with leadership to add 2 contract developers, and implemented weekly sprint reviews to keep the project on track. I also started a beta program with 50 of our best customers to get feedback before full launch."
RESULT: "We launched the improved mobile app in 3 months, reducing churn from 5% back to 2% within 60 days. We recovered 35% of churned customers and the NPS for our mobile app increased from 32 to 58. This project was recognized in our company all-hands as a turnaround success."
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.
- yesterday First seen · 422 lines · 16 tokens per session scan A 92309c692400
Interview Prep Generator is a skill published in the GitHub repository PramodDutta/qaskills (214 stars, last pushed 5d ago), licensed MIT. It adds 16 tokens to every session and 3,243 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 2026-09-03.
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interview-simulator
Simulate role-specific mock interviews, score each answer, and provide concrete feedback and model responses for interview preparation.
project-interview-skill
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mock-interview
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Generates industry and role reference reading (行业与岗位通识) for a target job — landscape, role expectations, must-know concepts, high-frequency interview topics, quotable viewpoints with sources — written to the workspace library/ folder. Use when the user asks for 行业通识 / 岗位认知 / 这个行业要懂什么 / 面这个方向需要补什么知识, or as step 4 of…