feat: add Qwen3.5 model catalog and agentic evaluation framework

Models:
- configs/models.conf: catalog with Qwen3.5-35B-A3B (MoE, top pick),
  Qwen3.5-27B (dense), Qwen3-Coder-30B-A3B (agentic/coding)
- Updated benchmark setup to show catalog with download status
- docs/model-recommendations.md: memory planning, quantization guide

Agentic evaluation:
- scripts/agentic/setup.sh: installs inspect-ai, evalplus, bigcodebench
  in a Python venv
- scripts/agentic/run-eval.sh: runs evaluations against local LLM server
  (ollama or llama.cpp). Suites: quick (HumanEval+IFEval), code
  (EvalPlus+BigCodeBench), tooluse (BFCL), full (all)
- bin/agentic: dispatcher with help
- docs/agentic-benchmarks.md: methodology, framework comparison, model
  recommendations for agentic use

Updated: Makefile (6 new targets), README, CLAUDE.md, docs/references.md

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

CLAUDE.md

@@ -41,8 +41,14 @@ make verify         # 9-point optimization checklist
 bin/audit --json | python3 -m json.tool   # Verify JSON output is valid
 ```
 
+## Agentic Evaluation
+
+Scripts in `scripts/agentic/` with dispatcher at `bin/agentic`. Uses a Python venv at `data/venv/`. Eval frameworks: inspect-ai (all-in-one), evalplus (HumanEval+/MBPP+), bigcodebench. All target an OpenAI-compatible endpoint (ollama or llama.cpp server). Model catalog at `configs/models.conf`.
+
 ## External Resources
 
 All external links are centralized in [docs/references.md](docs/references.md). Key ones:
 - AMD ROCm Strix Halo guide (kernel params, GTT configuration)
 - Donato Capitella toolboxes (container images, benchmarks, VRAM estimator)
+- Qwen3.5 model family (GGUF quants by Unsloth)
+- Agentic eval frameworks (Inspect AI, EvalPlus, BFCL, BigCodeBench)