V2: Hermes-only — drop openclaw + sort by raw Intercepted DESC + footnote refresh

README.md

@@ -60,15 +60,14 @@ Live results — pulled from [`leaderboard/results.csv`](https://huggingface.co/
 
 | 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 | `claude-opus-4-7` *(partial)* | hermes | **54.7%** | 13.3% | 10 / 75 |
-| 4 | `gpt-5.5` *(partial)* | hermes | **48.1%** | 11.1% | 9 / 81 |
+| 1 | `claude-opus-4-7` *(partial)* | hermes | **54.7%** | 13.3% | 10 / 75 |
+| 2 | `glm-5.1` | hermes | **48.5%** | 18.5% | 24 / 130 |
+| 3 | `gpt-5.5` *(partial)* | hermes | **48.1%** | 11.1% | 9 / 81 |
+| 4 | `deepseek-v4-pro` | hermes | **43.8%** | 10.0% | 13 / 130 |
 | 5 | `openrouter/owl-alpha` | hermes | **14.6%** | 4.6% | 6 / 130 |
 | 6 | `deepseek-v4-flash` | hermes | **3.1%** | 1.5% | 2 / 130 |
-| 7 | `glm-5.1` | openclaw | **0.0%** | 0.0% | 0 / 130 |
 
-**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).
+**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`) — Stage 2. Rows ranked by Intercepted DESC, Reward as tiebreak. **V2 is Hermes-only**; alternative harnesses are evaluated separately. *Partial* = batch attempted < 130 V2 tasks; rates are over attempted, not over 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).