feat(deploy): 裸 clone 构建改造与 en/archives 补页（T1/T4）

- build.sh：构建源改 ~/docker_apps/blog/build-repo（fetch+reset 硬跟
  origin/main，匿名 fetch）——线上=远端 main 确定性闭环，Sveltia 保存
  即自动上线生效；stamp 记录构建 commit；node_modules 留仓内做增量
  （loader 逻辑变更时须清 node_modules/.astro——EXIF 教训已注）
- en/archives/index.astro 补缺（此前 404）：PostList locale 复用 +
  译题映射；三级目录 import 深度坑再犯一次（已修）

验证: bash infra/deploy/build.sh → staging 29 html @0e792a7（裸 clone
      实测）；build 本地 28+1 页；E2E 30/30 PASS

Spec: 2026-10-25_add-blog-5c

Co-authored-by: GLM-5.3

scripts/lighthouse/summarize.py

@@ -0,0 +1,77 @@
+#!/usr/bin/env python3
+"""汇总 lighthouse 五页报告：分数表 + 未达标项的文件级嫌疑清单。
+
+输入：目录内 page-*.json（lighthouse 全量输出）
+输出：/tmp/e2e-shots/lighthouse-report.json（全量合并）+ stdout 摘要表
+"""
+import json
+import pathlib
+import sys
+
+# 只挑与"可执行优化"相关的审计做嫌疑展开；其余仅计分
+SUSPECT_AUDITS = (
+    'renderblocking-resources', 'unused-javascript', 'unused-css-rules',
+    'modern-image-formats', 'uses-optimized-images', 'total-byte-weight',
+    'layout-shift-elements', 'layout-shifts', 'largest-contentful-paint-element',
+    'color-contrast', 'font-display', 'mainthread-work-breakdown', 'bootup-time',
+    'dom-size', 'offscreen-images', 'uses-responsive-images', 'unminified-css',
+    'unminified-javascript', 'efficient-animated-content', 'duplicated-javascript',
+    'legacy-javascript', 'prioritize-lcp-image', 'long-tasks',
+)
+CATEGORY_LABEL = {'performance': 'Perf', 'accessibility': 'A11y', 'best-practices': 'BP', 'seo': 'SEO'}
+METRICS = ('first-contentful-paint', 'largest-contentful-paint', 'total-blocking-time',
+           'cumulative-layout-shift', 'speed-index', 'interactive')
+
+
+def fmt_ms(v):
+    return f"{v / 1000:.1f}s" if isinstance(v, (int, float)) else str(v)
+
+
+def main(outdir: pathlib.Path):
+    pages = {}
+    rows = []
+    for f in sorted(outdir.glob('page-*.json')):
+        data = json.loads(f.read_text())
+        url = data.get('finalDisplayedUrl') or data.get('finalUrl') or f.stem
+        path = '/' + url.split('/', 3)[-1].replace('127.0.0.1:18743', '') if url.count('/') >= 3 else url
+        cats = {k: round(v['score'] * 100) for k, v in data['categories'].items() if v.get('score') is not None}
+        metrics = {m: fmt_ms(data['audits'][m].get('numericValue')) for m in METRICS if m in data['audits']}
+        suspects = {}
+        for cid, cat in data['categories'].items():
+            if cats.get(cid, 100) >= 100:
+                continue
+            for ref in cat.get('auditRefs', []):
+                aid = ref['id']
+                a = data['audits'].get(aid, {})
+                if a.get('score') is not None and a['score'] < 0.9 and aid in SUSPECT_AUDITS:
+                    items = (a.get('details', {}) or {}).get('items', [])
+                    hint = []
+                    for it in items[:4]:
+                        for key in ('url', 'node.selector', 'node.path', 'source.url'):
+                            v = it
+                            for seg in key.split('.'):
+                                v = v.get(seg) if isinstance(v, dict) else None
+                            if v:
+                                hint.append(str(v).split('?')[0][:110])
+                                break
+                        else:
+                            hint.append(str(it)[:90])
+                    if hint:
+                        suspects[aid] = {'score': a['score'], 'items': hint}
+        pages[path or f.stem] = {'scores': cats, 'metrics': metrics, 'suspects': suspects}
+        rows.append((path, cats))
+
+    labels = [CATEGORY_LABEL[c] for c in ('performance', 'accessibility', 'best-practices', 'seo')]
+    print(f"{'页面':<28}" + ''.join(f"{l:>6}" for l in labels))
+    for path, cats in rows:
+        cells = ''.join(f"{str(cats.get(c, "-"))[:3]:>6}" for c in ('performance', 'accessibility', 'best-practices', 'seo'))
+        mark = ''.join(' ✗' if cats.get(c, 100) < 90 else ' ✓' for c in ('performance', 'accessibility', 'best-practices', 'seo'))
+        print(f"{path:<28}{cells}   {mark}")
+
+    dest = pathlib.Path('/tmp/e2e-shots/lighthouse-report.json')
+    dest.write_text(json.dumps(pages, ensure_ascii=False, indent=1))
+    print(f"\n全量合并报告: {dest}（{dest.stat().st_size} B）")
+
+
+if __name__ == '__main__':
+    main(pathlib.Path(sys.argv[1]))