molotroka123-cell

model-eval

Benchmark and validate a local or cloud model for real BOSSMAN roles, measuring speed, memory, capabilities, tool use, context behavior, stability, and cost rather than relying only on public benchmarks.

molotroka123-cell 1 Updated 1mo ago
GitHub

Install

npx skillscat add molotroka123-cell/aimaxbossman/model-eval

Install via the SkillsCat registry.

SKILL.md

Model Evaluation

Use when a model is added, updated, quantized differently, or considered for routing.

Record environment

  • hardware
  • runtime/backend
  • model ID
  • quant
  • context setting
  • batch/cache settings
  • provider/endpoint
  • date

Measure separately where supported

  • time to first token
  • prompt/prefill throughput
  • generation throughput
  • RAM / VRAM / unified memory
  • peak memory
  • load time
  • stability
  • context success
  • cost for cloud models

Capability tests

Use small reproducible fixtures for:

  • coding
  • reasoning
  • tool calling
  • structured output
  • vision if advertised
  • long-context retrieval if relevant

A capability is not marked supported merely because provider metadata claims it; perform a live probe.

Output

Store historical results. Recommend roles such as:

  • fast worker
  • coder
  • vision worker
  • reviewer
  • heavy reasoning
  • fallback

The Smart Router should consume these real measurements.