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.
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.