feat: 新增 AI 指标报告助手与配置健康检查功能

- 新增 `ai-metrics-report` 技能，自动生成 AI 成功率、错误率与 Token 成本的综合报告，帮助评估智能助手表现。 - 新增 `config-audit` 技能，检查当前环境配置的完整性与可用性，输出健康检查报告，确保系统稳定运行。 - 相关脚本已实现，支持从项目根目录执行并输出结构化结果。
2026-02-11 00:59:55 +08:00
parent e4b76def44
commit 0bee1c86fc
11 changed files with 1216 additions and 0 deletions
--- a/.claude/skills/log-summary/scripts/log_summary.py
+++ b/.claude/skills/log-summary/scripts/log_summary.py
@@ -0,0 +1,115 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+"""
+简单日志汇总脚本
+
+遍历 logs/ 目录下最近的若干个 dashboard.log 文件，统计 ERROR / WARNING / CRITICAL，
+并输出简要汇总信息，供 log-summary Skill 调用。
+"""
+
+import os
+import re
+from pathlib import Path
+from typing import List, Tuple
+
+
+LOG_ROOT = Path("logs")
+LOG_FILENAME = "dashboard.log"
+MAX_FILES = 5  # 最多分析最近 N 个日志文件
+
+
+LEVEL_PATTERNS = {
+    "ERROR": re.compile(r"\bERROR\b"),
+    "WARNING": re.compile(r"\bWARNING\b"),
+    "CRITICAL": re.compile(r"\bCRITICAL\b"),
+}
+
+
+def find_log_files() -> List[Path]:
+    if not LOG_ROOT.exists():
+        return []
+
+    candidates: List[Tuple[float, Path]] = []
+    for root, dirs, files in os.walk(LOG_ROOT):
+        if LOG_FILENAME in files:
+            p = Path(root) / LOG_FILENAME
+            try:
+                mtime = p.stat().st_mtime
+            except OSError:
+                continue
+            candidates.append((mtime, p))
+
+    # 按修改时间从新到旧排序
+    candidates.sort(key=lambda x: x[0], reverse=True)
+    return [p for _, p in candidates[:MAX_FILES]]
+
+
+def summarize_file(path: Path):
+    counts = {level: 0 for level in LEVEL_PATTERNS.keys()}
+    top_messages = {}
+
+    try:
+        with path.open("r", encoding="utf-8", errors="ignore") as f:
+            for line in f:
+                for level, pattern in LEVEL_PATTERNS.items():
+                    if pattern.search(line):
+                        counts[level] += 1
+                        # 取日志消息部分做前缀（粗略）
+                        msg = line.strip()
+                        # 截断以防过长
+                        msg = msg[:200]
+                        top_messages[msg] = top_messages.get(msg, 0) + 1
+                        break
+    except OSError as e:
+        print(f"[!] 读取日志失败 {path}: {e}")
+        return None
+
+    # 取 Top 5
+    top_list = sorted(top_messages.items(), key=lambda x: x[1], reverse=True)[:5]
+    return counts, top_list
+
+
+def main():
+    log_files = find_log_files()
+    if not log_files:
+        print("未找到任何日志文件（logs/*/dashboard.log）。")
+        return
+
+    print(f"共找到 {len(log_files)} 个最近的日志文件（最多 {MAX_FILES} 个）：\n")
+
+    overall = {level: 0 for level in LEVEL_PATTERNS.keys()}
+
+    for idx, path in enumerate(log_files, start=1):
+        print(f"[{idx}] 日志文件: {path}")
+        result = summarize_file(path)
+        if result is None:
+            print("    无法读取该日志文件。\n")
+            continue
+
+        counts, top_list = result
+        for level, c in counts.items():
+            overall[level] += c
+        print(
+            "    级别统计: "
+            + ", ".join(f"{lvl}={counts[lvl]}" for lvl in LEVEL_PATTERNS.keys())
+        )
+
+        if top_list:
+            print("    Top 错误/警告消息：")
+            for msg, n in top_list:
+                print(f"      [{n}次] {msg}")
+        else:
+            print("    未发现 ERROR/WARNING/CRITICAL 级别日志。")
+
+        print()
+
+    print("总体统计：")
+    print(
+        "    "
+        + ", ".join(f"{lvl}={overall[lvl]}" for lvl in LEVEL_PATTERNS.keys())
+    )
+
+
+if __name__ == "__main__":
+    main()
+