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README.md

@@ -159,10 +159,6 @@ skill_tasks = [d for d in dataset["train"] if d["category"] == "Skill"]
 claudecode_tasks = [d for d in dataset["train"] if d["scaffold"]["name"] == "claudecode"]
 ```
 
-### 🔧 Evaluation Toolkit
-
-The evaluation toolkit (trajectory collection + LLM-as-a-judge scoring) will be open-sourced soon. Stay tuned!
-
 ## ⚖️ Evaluation Metrics
 
 | Metric | Definition | What it measures |
@@ -171,6 +167,11 @@ The evaluation toolkit (trajectory collection + LLM-as-a-judge scoring) will be
 | **CSR** (Checkitem Success Rate) | Passed checks / Total checks | Fine-grained compliance — what proportion of rules were followed |
 
 
+## 🗓️ Roadmap
+
+- [x] **Task Specifications, Checklists & Docker Environments** — Released January 2026
+- [ ] **Evaluation Code** — Trajectory collection & LLM-as-judge scoring (Coming soon)
+
 ## 🏆 Leaderboard
 
 | Model | ISR (%) | CSR (%) |

README_CN.md

@@ -159,10 +159,6 @@ skill_tasks = [d for d in dataset["train"] if d["category"] == "Skill"]
 claudecode_tasks = [d for d in dataset["train"] if d["scaffold"]["name"] == "claudecode"]
 ```
 
-### 🔧 评测工具
-
-评测工具（轨迹收集 + LLM-as-a-judge 评分）即将开源，敬请期待！
-
 ## ⚖️ 评估指标
 
 | 指标 | 定义 | 衡量内容 |
@@ -171,6 +167,11 @@ claudecode_tasks = [d for d in dataset["train"] if d["scaffold"]["name"] == "cla
 | **CSR**（检查项成功率） | 通过检查项 / 总检查项 | 细粒度合规性——遵循了多大比例的规则 |
 
 
+## 🗓️ 路线图
+
+- [x] **任务规范、检查清单与 Docker 环境** — 2026年1月已发布
+- [ ] **评测代码** — 轨迹收集与 LLM-as-judge 评分（即将开源）
+
 ## 🏆 排行榜
 
 | 模型 | ISR (%) | CSR (%) |