LLM Evaluation

Evaluated by: xiaomi/mimo-v2-flash:free

Last evaluated: March 29, 2026

Prompt Quality

3.0 /5

Evaluation error: RetryError[]

Usefulness

3.0 /5

Evaluation error: RetryError[]

Overall Rating

3.0 /5

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Prompt Preview

---
name: model-markov-chain
description: >
  Build and analyze discrete or continuous Markov chains including transition
  matrix construction, state classification, stationary distribution computation,
  and mean first passage times. Use when modeling a memoryless system with
  observed transition counts or rates, computing long-run steady-state
  probabilities, determining expected hitting times or absorption probabilities,
  classifying states as transient or recurrent, or building a...

Full prompt length: 13903 characters