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Move the soft/mixed gate-metric configuration introduced in PR #25 out of the base default config and into a standalone example config so that default SkillOpt runs (and paper reproduction) remain bit-for-bit on the original hard gate. - configs/_base_/default.yaml: drop gate_metric / gate_mixed_weight keys. The trainer's cfg.get("gate_metric", "hard") fallback preserves the original behavior unchanged. - configs/examples/soft_gate.yaml: new standalone reference config with a header explaining when to consider it (small selection split with continuous rewards) and when not to (paper reproduction, large or binary-reward settings). - README.md: add a short "Community-contributed configs" section that clearly flags this as user-contributed and non-default.