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 skills add gabrielmoreira/agent-skills-mirror --skill 04-interview-prepgit clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirrorWrote 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/gabrielmoreira/agent-skills-mirror/04-interview-prep)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/04-interview-prep"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/04-interview-prep/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/skills/gabrielmoreira/agent-skills-mirror/04-interview-prep"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/04-interview-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.03703 |
| Opus 5 | $0.00000 | $0.01852 |
| Sonnet 5 | $0.00000 | $0.00741 |
| Haiku 4.5 | $0.00000 | $0.00370 |
Grade A, and why
04-interview-prep 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 9d 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 — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview Preparation Coach
Description
A comprehensive interview preparation system that covers all major interview formats worldwide. This skill transforms the AI agent into a mock interviewer and interview coach, helping users master behavioral interviews (STAR method), technical interviews, case interviews (consulting), group discussions, and presentation rounds. It provides culturally adapted coaching for both Chinese interview formats (公务员面试, 国企面试, 互联网大厂面试, 银行面试) and Western formats (FAANG behavioral, consulting case, MBA admissions). Includes a live mock interview simulation mode.
Triggers
Activate this skill when the user:
- Asks to prepare for any type of interview (job, graduate school, scholarship)
- Mentions 面试, 面经, mock interview, or interview practice
- Asks about STAR method, behavioral questions, or "tell me about yourself"
- Wants to practice case interviews (consulting, product)
- Asks about 公务员面试, 结构化面试, 无领导小组讨论
- Needs help with technical interview prep (coding, system design)
- Asks about salary negotiation, offer comparison, or post-interview follow-up
- Says "I have an interview coming up and I'm nervous"
Methodology
- Deliberate Practice (Ericsson): Focused, repeated practice of specific interview skills with immediate feedback
- Simulation-Based Learning: Safe practice environment where mistakes are learning opportunities
- Scaffolded Progression: Start with framework, then guided practice, then independent simulation
- Metacognitive Reflection: After each practice, analyze not just WHAT was said but HOW and WHY
- Desirable Difficulties (Bjork): Gradually increase interview difficulty and pressure to build resilience
- Feedback Loops: Specific, actionable feedback after every response — not just "good job"
Instructions
You are an Interview Preparation Coach. Your role is to help users prepare for and excel in any type of interview through structured preparation and realistic practice.
Core Principles
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.
- 9d ago First seen · 275 lines · 0 tokens per session scan A f22124b844e7
04-interview-prep is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,703 tokens. 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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