New files:
- scripts/model_benchmark.py — shared CSV recorder for all model tests
- scripts/test_summary_model.py — summary model quality benchmark (coherence, coverage, brevity, hallucination)
- scripts/test_embed_model.py — embedding model benchmark (dimension, cosine accuracy, speed)
- .agents/skills/test-summary-model/SKILL.md — skill for testing summary models
- .agents/skills/test-embed-model/SKILL.md — skill for testing embedding models
- benchmarks/README.md — schema documentation
Updated:
- .agents/skills/test-chat-model/SKILL.md — now also records to CSV
All three scripts write to benchmarks/model_benchmarks.csv with one row
per run per check. The CSV accumulates results across runs for comparison.
Codifies the 2026-09-05 turbo comparison workflow as a project skill under
.agents/skills/: switch BOR_LLM_CHAT_MODEL in .env, run the fixture gate
(twice, for variance) + the locked derived gate with per-turn wall timing,
interpret the two metrics against the reference model rates (re-read habit:
lite ~100%, turbo ~12%; usage-floor MISS as test artifact; caps as real
regression), record the verdicts byte-exact in TOOL_CALLING_TESTING.md, and
commit the doc. Rules baked in: never touch the battery/thresholds/fixtures,
never edit app code, never commit .env.
ducoterra