docs: sync from NAIL-Group canonical (V2 snapshot + scoring + V2Trace)

README.md

@@ -51,21 +51,22 @@ Live results — pulled from [`leaderboard/results.csv`](https://huggingface.co/
 
 [![Open the live ClawBench Leaderboard ↗](https://img.shields.io/badge/%F0%9F%8F%86%20Open%20the%20live%20Leaderboard-NAIL--Group%2Fclawbench--leaderboard-FFD21E?style=for-the-badge&logo=huggingface&logoColor=000)](https://huggingface.co/spaces/NAIL-Group/clawbench-leaderboard)
 
-**Snapshot — last refreshed 2026-05-10:**
-
-| Rank | Model | Harness | Corpus | Pass | Total | Pass Rate | Wall (h) |
-|------|-------|---------|--------|------|-------|-----------|----------|
-| 1 | `glm-5.1` | hermes | v2 | 63 | 130 | **48.46%** | 11.35 |
-| 2 | `glm-5.1` | hermes | v1 | 25 | 153 | **16.34%** | 15.37 |
-| 3 | `openrouter/owl-alpha` | hermes | v2 | 19 | 130 | **14.62%** | 7.58 |
-| 4 | `deepseek/deepseek-v4-flash` | hermes | v1 | 14 | 153 | **9.15%** | 13.59 |
-| 5 | `glm-5.1` | openclaw | v1 | 13 | 153 | **8.50%** | 6.50 |
-| 6 | `deepseek/deepseek-v4-flash` | hermes | v2 | 4 | 130 | **3.08%** | 2.37 |
-| 7 | `poolside/laguna-m.1:free` | hermes | v1 | 1 | 153 | **0.65%** | 1.52 |
+**V2 snapshot — refreshed 2026-05-11** (full scoring logic: [`docs/scoring.md`](https://github.com/reacher-z/ClawBench/blob/main/docs/scoring.md))
+
+| Rank | Model | Harness | Intercepted | Reward | Pass / Total |
+|------|-------|---------|-------------|--------|--------------|
+| 1 | `glm-5.1` | hermes | 48.5% | **18.5%** | 24 / 130 |
+| 2 | `deepseek-v4-pro` | hermes | 43.8% | **10.0%** | 13 / 130 |
+| 3 | `openrouter/owl-alpha` | hermes | 14.6% | **4.6%** | 6 / 130 |
+| 4 | `deepseek-v4-flash` | hermes | 3.1% | **1.5%** | 2 / 130 |
+| 5 | `glm-5.1` | openclaw | 0.0% | **0.0%** | 0 / 130 |
+| 6 | `poolside/laguna-m.1:free` | hermes | 0.0% | **0.0%** | 0 / 130 |
+
+**Reward** = fraction that intercepted the final HTTP request AND the LLM judge confirmed the payload fulfilled the instruction. **Intercepted** alone = Stage 1 only. See [scoring.md](https://github.com/reacher-z/ClawBench/blob/main/docs/scoring.md) for the two-stage rubric. New runs (Claude Sonnet 4.6, Claude Opus 4.7, GPT 5.5) land daily — track them on the [live leaderboard Space](https://huggingface.co/spaces/NAIL-Group/clawbench-leaderboard).
 
 **Submit a result** → run [`clawbench-eval`](https://pypi.org/project/clawbench-eval/) on your model and open a PR to [`leaderboard/results.csv`](https://huggingface.co/datasets/NAIL-Group/ClawBench/blob/main/leaderboard/results.csv) — one row per (model × harness × corpus).
 
-> **Companion dataset (raw traces):** [`NAIL-Group/ClawBenchV1Trace`](https://huggingface.co/datasets/NAIL-Group/ClawBenchV1Trace) — `recording.mp4`, `requests.jsonl`, `actions.jsonl`, `agent-messages.jsonl`, `interception.json`, `run-meta.json` per V1 model run.
+> **Companion datasets (raw traces):** [`NAIL-Group/ClawBenchV1Trace`](https://huggingface.co/datasets/NAIL-Group/ClawBenchV1Trace) (V1 runs) · [`NAIL-Group/ClawBenchV2Trace`](https://huggingface.co/datasets/NAIL-Group/ClawBenchV2Trace) (V2 runs, rolling) — `recording.mp4`, `requests.jsonl`, `actions.jsonl`, `agent-messages.jsonl`, `interception.json`, `run-meta.json` per model run.
 
 ## Dataset Structure