AI-Engineer-Interview-Questions: Interview questions and prep for AI Engineer, LLM Engineer, and Applied AI roles

by ombharatiya · Agent Tool · ★ 158

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Security audit verdict: SAFE · quality 58/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars158
Forks33
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score58/100
Last Updated2026-10-03
Created2026-07-11
Platformspython
Est. Tokens~17k

About AI-Engineer-Interview-Questions

AI Engineer Interview Questions The complete prep resource for AI Engineer, LLM Engineer, and Applied AI interviews.947 questions with worked answers, 8 system design case studies, 13 runnable coding challenges, company interview questions for 25 companies, and guides for 10 engineering roles. Company interview questions: <a href="14-company-interview-questions/anthropic

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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