chore: auto release commit (2026-09-14 16:39:09)

scripts/main.py

@@ -19,7 +19,12 @@ def health():
 
 def version():
     """查看版本（占位）。"""
-    print("verify-scholarship-fraud-sas v1.0.1")
+    try:
+        from util.constants import SKILL_VERSION
+        ver = SKILL_VERSION
+    except ImportError:
+        ver = "1.0.1"  # 占位回退
+    print(f"verify-scholarship-fraud-sas v{ver}")
     return 0
 
 

scripts/util/constants.py

@@ -0,0 +1,34 @@
+"""技能标识、版本与阈值常量。
+
+复制到新 skill 时必须修改：
+- SKILL_SLUG 与 SKILL.md metadata.openclaw.slug 保持一致
+- SKILL_VERSION 与 SKILL.md version 保持一致
+"""
+
+SKILL_SLUG = "verify-scholarship-fraud-sas"
+SKILL_VERSION = "1.0.2"
+LOG_LOGGER_NAME = "openclaw.skill.verify_scholarship_fraud_sas"
+PLATFORM_KIT_MIN_VERSION = "1.2.11"
+
+# 业务行生命周期状态值（候选人汇总表每一行）
+CANDIDATE_STATUSES = ("待审", "已标注", "已复核", "已驳回", "已撤回")
+
+# 复核结论
+REVIEW_CONCLUSIONS = ("保留", "取消", "调减")
+
+# 异常检测维度（v1.0.1 占位；具体阈值由开发者按 development/REQUIREMENTS.md 补全）
+RISK_DIMENSIONS = (
+    "income_vs_card_consumption",  # 自报年收入 vs 一卡通月均消费
+    "comprehensive_vs_score_rank",  # 综测排名 vs 成绩排名
+    "cumulative_aid_amount",       # 本学年累计资助金额
+    "duplicate_aid_history",       # 历史重复资助排查
+)
+
+RISK_LEVEL_LABELS = {
+    "low": "低风险",
+    "medium": "中风险",
+    "high": "高风险",
+}
+
+# 多平台 brands 同步声明（与 SKILL.md metadata.openclaw.brands 保持一致）
+BRANDS = ("jiangchang", "huashang")