docs: V2 snapshot — sync from NAIL-Group (opus-4-7 + gpt-5.5 partial)
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README.md
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@@ -51,18 +51,19 @@ Live results — pulled from [`leaderboard/results.csv`](https://huggingface.co/
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[](https://huggingface.co/spaces/NAIL-Group/clawbench-leaderboard)
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**V2 snapshot — refreshed 2026-05-
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| Rank | Model | Harness | Intercepted | Reward | Pass / Total |
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|------|-------|---------|-------------|--------|--------------|
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| 1 | `glm-5.1` | hermes | 48.5% | **18.5%** | 24 / 130 |
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| 4 | `deepseek-v4-
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**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).
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[](https://huggingface.co/spaces/NAIL-Group/clawbench-leaderboard)
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**V2 snapshot — refreshed 2026-05-12** (full scoring logic: [`docs/scoring.md`](https://github.com/reacher-z/ClawBench/blob/main/docs/scoring.md))
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| Rank | Model | Harness | Intercepted | Reward | Pass / Total |
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|------|-------|---------|-------------|--------|--------------|
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| 1 | `glm-5.1` | hermes | 48.5% | **18.5%** | 24 / 130 |
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| 2 | `claude-opus-4-7` *(partial)* | hermes | 54.7% | **13.3%** | 10 / 75 |
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| 3 | `gpt-5.5` *(partial)* | hermes | 48.1% | **11.1%** | 9 / 81 |
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| 4 | `deepseek-v4-pro` | hermes | 43.8% | **10.0%** | 13 / 130 |
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| 5 | `openrouter/owl-alpha` | hermes | 14.6% | **4.6%** | 6 / 130 |
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| 6 | `deepseek-v4-flash` | hermes | 3.1% | **1.5%** | 2 / 130 |
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| 7 | `glm-5.1` | openclaw | 0.0% | **0.0%** | 0 / 130 |
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**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); rates are over attempted, not over 130. Companion traces in [`NAIL-Group/ClawBenchV2Trace`](https://huggingface.co/datasets/NAIL-Group/ClawBenchV2Trace). See [scoring.md](https://github.com/reacher-z/ClawBench/blob/main/docs/scoring.md) for the two-stage rubric, [live leaderboard Space](https://huggingface.co/spaces/NAIL-Group/clawbench-leaderboard) for fresh data + V1.
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**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).
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