Add OpProf campaign: protocols, results, patches, run evidence (P0-P6)

Workload-conditioned operator profiling on patched vLLM 0.24.0 +
Qwen3-30B-A3B/H20. H1b PASS (irregular patterns carry +23-45pp R64
raggedness, 8-45% token-efficiency loss vs rectangular controls);
mechanism decomposition kills the padding narrative and finds the
arrival-uniformization artifact (-12.9%); cross-version churn surface
shows TP2/MNS64 -29.4% across vLLM 0.20->0.24 while the argmax held.
Raw Layer-1 JSONL streams (507 MB) stay on disk, git-ignored; footer
sidecars and metrics are tracked.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

patches/vllm-0.24.0-opprof/pytest-evidence.txt

@@ -0,0 +1,16 @@
+OpProf standalone pytest evidence
+Date: 2026-07-12
+Source branch: opprof
+Source tip: 23450fb21ac255b0cf710f4ee965ee694921975d
+Base: ee0da84ab9e04ac7610e28580af62c365e898389 (v0.24.0)
+Environment: Python 3.11.13, pytest 9.1.1, msgspec 0.21.1
+vLLM installed: no
+torch installed in isolated test environment: no
+GPU/remote access: no
+
+Command:
+uv run --no-project --with pytest --with msgspec pytest --confcutdir=tests/v1/core tests/v1/core/test_opprof.py -q
+
+Output:
+..................                                                       [100%]
+18 passed in 1.09s