mock-interview

mock-interview is a Career & job search skill for AI agents, published by TrainWithShubham in the skills repository on GitHub. Skillspace rates mock-interview C (72/100) and it passed the safety scan; the rating is based on static analysis only.

Run a scenario-based DevOps, SRE, Cloud, or Platform Engineering mock interview, then deliver a brutally honest analysis and a tailored prep plan. Pulls questions configured by topic (Kubernetes, AWS, Docker, Terraform, CI/CD, Linux, Monitoring/Observability, System Design, Networking, Security, mixed), difficulty (junior 0-2y / mid 2-5y / senior 5-8y / staff 8+y), and target company tier (Service like TCS/Infosys/Wipro/Capgemini, Product like Razorpay/Zerodha/Swiggy/PhonePe/Atlassian, or MANG/FAANG like Meta/Apple/Netflix/Google/Amazon/Microsoft). Conducts the interview question-by-question in interviewer voice (no hints, no mid-interview praise), then flips to coach mode for per-question analysis, pattern detection across the session, a tier-by-tier verdict, and a 7-day prep plan. Trigger AGGRESSIVELY on: /mock-interview, "mock interview", "interview prep", "interview practice", "DevOps interview", "SRE interview", "cloud interview", "Kubernetes interview", "AWS interview", "scenario…

Grade
C
Quality
72 / 100
Safety
Passed
GitHub stars
33

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
95 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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