Switch sort key to Intercepted (Stage 1) with Reward as tiebreak — same row order, new semantic

README.md

@@ -67,7 +67,7 @@ Live results — pulled from [`leaderboard/results.csv`](https://huggingface.co/
 | 6 | `deepseek-v4-flash` | hermes | 3.1% | **1.5%** | 2 / 130 |
 | 7 | `glm-5.1` | openclaw | 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. *Partial* = batch attempted fewer than 130 V2 tasks (mid-run abort / queue cap); the displayed % is over attempted tasks, but **ranking treats unattempted as failures** — so a partial 13.3% can be outranked by a complete 10.0%. Companion traces in [`TIGER-Lab/ClawBenchV2Trace`](https://huggingface.co/datasets/TIGER-Lab/ClawBenchV2Trace). See [scoring.md](https://github.com/reacher-z/ClawBench/blob/main/eval/scoring.md) for the two-stage rubric, [live leaderboard Space](https://huggingface.co/spaces/TIGER-Lab/ClawBench) for fresh data + V1.
+**Intercepted** (sort key) = fraction whose final HTTP request matched the per-task URL/method schema — Stage 1, deterministic, no judge. **Reward** = additionally requires an LLM judge (default `deepseek/deepseek-v4-pro`) to confirm the intercepted payload fulfilled the instruction — Stage 2. Rows ranked by Intercepted with Reward as tiebreak. *Partial* = batch attempted < 130 V2 tasks; the displayed % is over attempted, but **ranking treats unattempted as failures** — so a partial 54.7% Intercepted (10/75) ranks below a complete 48.5% (63/130). Companion traces in [`TIGER-Lab/ClawBenchV2Trace`](https://huggingface.co/datasets/TIGER-Lab/ClawBenchV2Trace). See [scoring.md](https://github.com/reacher-z/ClawBench/blob/main/eval/scoring.md), [live leaderboard Space](https://huggingface.co/spaces/TIGER-Lab/ClawBench).
 
 **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/TIGER-Lab/ClawBench/blob/main/leaderboard/results.csv) — one row per (model × harness × corpus).