chore: auto release commit (2026-09-14 16:39:56)

scripts/main.py

@@ -7,6 +7,12 @@ from pathlib import Path
 # 占位：开发者后续接入 jiangchang_skill_core
 # from jiangchang_skill_core import ...
 
+# 兜底：util/constants 不可导入时使用当前发布版本
+try:
+    from util.constants import SKILL_VERSION
+except Exception:  # pragma: no cover
+    SKILL_VERSION = "1.0.2"
+
 BASE_DIR = Path(__file__).resolve().parent.parent
 
 
@@ -19,7 +25,7 @@ def health():
 
 def version():
     """查看版本（占位）。"""
-    print("analyze-grade-distribution-aa v1.0.1")
+    print(f"analyze-grade-distribution-aa v{SKILL_VERSION}")
     return 0
 
 

scripts/util/constants.py

@@ -0,0 +1,44 @@
+"""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 = "analyze-grade-distribution-aa"
+SKILL_VERSION = "1.0.2"
+LOG_LOGGER_NAME = "openclaw.skill.analyze_grade_distribution_aa"
+PLATFORM_KIT_MIN_VERSION = "1.2.11"
+
+# 异常模式分类
+ANOMALY_PATTERNS = ("高分低能", "两极分化", "挂科异常")
+
+# 预警等级（与异常模式对应）
+ALERT_LEVELS = ("yellow", "orange", "red")
+ALERT_LEVEL_LABELS = {
+    "yellow": "黄色（提醒关注）",
+    "orange": "橙色（建议核查）",
+    "red":     "红色（高风险）",
+}
+
+# 报告类型
+REPORT_TYPES = ("html", "pdf")
+DEFAULT_REPORT_TYPE = "html"
+
+# 异常模式识别阈值
+HIGH_SCORE_THRESHOLD = 85        # 高分阈值
+LOW_SCORE_THRESHOLD = 60         # 低分阈值
+HIGH_FAIL_RATE_THRESHOLD = 0.30  # 挂科率阈值
+POLARIZATION_SPREAD_THRESHOLD = 30  # 两极分化：最高分-最低分阈值
+
+# 统计指标：分位点
+PERCENTILES = (25, 50, 75)
+
+# 课程状态
+COURSE_STATUSES = ("待分析", "分析中", "已出报告", "已标记高风险", "已归档")
+
+# 高风险标签
+HIGH_RISK_LABELS = {
+    True:  "高风险课程",
+    False: "正常课程",
+}