diff --git a/docs/客户反馈第二批修改-2026-10-12.md b/docs/客户反馈第二批修改-2026-10-12.md
index 9203d7e..ee41316 100644
--- a/docs/客户反馈第二批修改-2026-10-12.md
+++ b/docs/客户反馈第二批修改-2026-10-12.md
@@ -62,4 +62,21 @@ H5_ARTIFACT_DIR=/tmp/juzi-feedback-second-ui-20261012 node h5/test/ui-20261009.m
 
 专项测试覆盖三种轮廓的有界曲线和无原始数据修改、异常输入回退、震动缺失/拒绝/抛错容错、抓拍前触发及频率限制、原有 450 ms 自动抓拍时机；浏览器核验实际渲染字体（不仅是 CSS 数值）、五种屏宽的全屏预览与固定字号、三种状态均无轮廓描边、五官引导保留、登录首屏无大字体/模型请求。专项浏览器测试拦截会话并使用本地合成视频流，不写入后端账号、报告，也不调用收费检测。
 
-已完成本地开发及验证，首页高清图的两处批注也已补齐；本轮尚未提交 Git、推送或部署公网。真实手机震动实效仍待确认。
+已完成本地开发及验证，首页高清图的两处批注也已补齐，并按用户要求提交 Git、部署公网。未推送 origin，由用户自行推送。真实手机震动实效仍待确认。
+
+## 公网部署与复核（2026-10-12，北京时间）
+
+- 功能提交：`fe9623a`；服务器 `/home/ubuntu/juzi` 通过 Git bundle 从 `abb1c4c` 快进部署到此版本。随后同步本节部署记录及公网字体检查的测试时序修正。
+- 地址：`https://1me.xajuzi.com/state/`。本轮仅变更前端资源，服务按请求读取磁盘文件，因此无需重启 Node 或 nginx；`juzi-h5.service` 持续 active，进程 PID `3481826` 未变化。
+- 公网 HTML、三份 CSS、`app.js`、新增 Demibold 字体均与本地 SHA-256 一致，资源保留 `Cache-Control: no-cache`，刷新会重新校验版本。
+- 健康接口 200/ok，微信配置 `wechat: true`；匿名报告接口和后台页面/统计接口均 401，源码与私有账号数据路径均 404。未修改微信私有配置、真实账号、照片和报告，也未调用收费检测。
+- 专项浏览器测试分别在本地及公网通过，确认五种屏宽首页字重与视觉高度、协议/报告实际渲染字体、全屏取景/无轮廓描边/圆角与五官引导、无 JS 错误。公网测试仅拦截会话、使用浏览器本地合成视频和模拟报告，不向后端写账号或报告。
+- 发现并修正测试本身的时序问题：`<link>` 插入 DOM 不代表字体声明已加载；测试先等待 `document.fonts` 注册后再检查字体。未因此更改页面行为。
+- 登录性能回归通过：模拟 150 ms 延迟、约 2 Mbps 下载、4 倍 CPU 降速，冷启动约 1.66 秒、资源约 264 KB（测试环境数据，不代表所有手机实测）；登录及首页没有新增字体/模型下载。
+- 126 项推荐规则测试、抓拍提醒/容错测试、原反馈及超时测试通过；隔离 HTTPS 环境的模拟微信授权、跨设备报告/账号隔离和切换登录回归通过。本轮未替代真实手机微信授权或震动验收。
+
+公网专项验证命令：
+
+```bash
+H5_BASE_URL=https://1me.xajuzi.com/state/ H5_ARTIFACT_DIR=/tmp/juzi-second-deploy-online-20261012 node h5/test/customer-feedback-second.mjs
+```
diff --git a/graphify-out/.graphify_labels.json b/graphify-out/.graphify_labels.json
index 1c1e030..0d05675 100644
--- a/graphify-out/.graphify_labels.json
+++ b/graphify-out/.graphify_labels.json
@@ -84,7 +84,6 @@
   "82": "wechat-browser.mjs",
   "83": "10.09 新版 H5 实施与验收",
   "84": "微信登录联调：2026-10-12",
-  "85": ".predictAgeAndGender",
   "86": "LabeledFaceDescriptors",
   "87": "产品推荐规则：肤龄基准与边界调整",
   "89": "傅艳NEW与项思炼的会话 2026年10月12日.md",
diff --git a/graphify-out/.graphify_labels.json.sig b/graphify-out/.graphify_labels.json.sig
index 4c033c5..19eac9e 100644
--- a/graphify-out/.graphify_labels.json.sig
+++ b/graphify-out/.graphify_labels.json.sig
@@ -1 +1 @@
-{"0": "00c97d478a8f90eb", "1": "cb6ea50bd4e4a5ca", "2": "00705ebb76871f0f", "3": "1f737ca8edb978f2", "4": "56bf12952b0de42b", "5": "93c69860c6f6563c", "6": "5a9014c4a7f87699", "7": "188dd5e33354e35d", "8": "1ecf47531e1d507b", "9": "64a6935321c48bb6", "10": "9ac0935bc0d2c1fd", "11": "ed0d13cfa8571d24", "12": "53594b653ad48743", "13": "7e3b558a587a4ebe", "14": "bf75bfc99d4f9e34", "15": "72d3264e772df1cb", "16": "95add6a975c0cb72", "17": "15606ce5d8eec23a", "18": "38bb0b185ceed116", "19": "0a373ad2197fd1a6", "20": "aecf2fce44ba49c5", "21": "224bdcd6528fddbf", "22": "ebf7b8a48916906e", "23": "90fac00055070ce2", "24": "f85b5b1634224c86", "25": "46e8db3e6e3f37ea", "26": "83b0fd3b14363e4d", "27": "eab427ce9a5219e9", "28": "9c6f14efe476acf4", "29": "c608f1c6492e1cb1", "30": "73c13793fca09f56", "31": "fbbcfc059751cc6a", "32": "f6bcf56c4589316b", "33": "75f750c5b7d9f63d", "34": "f024ff7942935690", "35": "c4fa292c3dfb0d0e", "36": "a7d375041779bad4", "37": "cb8f26249485324a", "38": "9a25b1230b5fe649", "39": "fdd95375b4a5ddb3", "40": "c6e2efd58425d13d", "41": "d96493a5f110bd4c", "42": "ffd960136fde00ad", "43": "5b04375ec4594cb1", "44": "852c1bb2446edd9c", "45": "92ab3e5134ed8685", "46": "65718282b3c32109", "47": "e594ecaa8e7d1538", "48": "1e2c13775a52fdea", "49": "1f976711cda158dc", "50": "bbb2b57d72922b16", "51": "eb6a182204867275", "52": "2ec3c8c088568ba9", "53": "68c45056378341a7", "54": "c58d41e8e580fdc6", "55": "54d7329fed675057", "56": "8c9a3fc5edff7e44", "57": "f2a40b5f1b29f669", "58": "07d28ed3afe8ac95", "59": "891f59cda3708718", "60": "a505b7de6257a4e8", "61": "2d008ec4a8df7849", "62": "1366ae24c7e5897d", "63": "c256b43f75d7809e", "64": "ce0e68dab611f022", "65": "74ae017de0ffd36b", "66": "e042d7fe7351bcb9", "67": "3e126d8deaf6e200", "68": "6b91f3679541de79", "69": "e511846eeba03076", "70": "880a74c6d255e5cc", "71": "cd6f168abba94fea", "72": "c84f196a7bd35861", "73": "2b887bf601ccfb9f", "74": "ae2a154311e1f53a", "75": "69fdd23278518884", "76": "68250611c66f576f", "77": "429cd62f9137881c", "78": "f4aae1bece83f9e0", "79": "c6cfdfe181232ecc", "80": "315325cde1352e98", "81": "37c559741825be74", "82": "2b037735e1f5b0f6", "83": "1284897282eb47a3", "84": "d8bb296741d3d05c", "85": "a2b13160223b5a98", "86": "f8b38aeaaab11ec4", "87": "e5fa7717989eda80", "89": "9e3363b80eeceeea", "90": "dd1c246e19a2d032", "92": "fced244d93677d90", "97": "01f68dfc34a29d32", "98": "8c471c7baeaaca54"}
\ No newline at end of file
+{"0": "00c97d478a8f90eb", "1": "cb6ea50bd4e4a5ca", "2": "00705ebb76871f0f", "3": "1f737ca8edb978f2", "4": "56bf12952b0de42b", "5": "93c69860c6f6563c", "6": "5a9014c4a7f87699", "7": "188dd5e33354e35d", "8": "1ecf47531e1d507b", "9": "64a6935321c48bb6", "10": "9ac0935bc0d2c1fd", "11": "ed0d13cfa8571d24", "12": "53594b653ad48743", "13": "7e3b558a587a4ebe", "14": "bf75bfc99d4f9e34", "15": "72d3264e772df1cb", "16": "95add6a975c0cb72", "17": "15606ce5d8eec23a", "18": "38bb0b185ceed116", "19": "0a373ad2197fd1a6", "20": "aecf2fce44ba49c5", "21": "224bdcd6528fddbf", "22": "e42f384dfedcff89", "23": "90fac00055070ce2", "24": "f85b5b1634224c86", "25": "46e8db3e6e3f37ea", "26": "83b0fd3b14363e4d", "27": "eab427ce9a5219e9", "28": "9c6f14efe476acf4", "29": "c608f1c6492e1cb1", "30": "73c13793fca09f56", "31": "fbbcfc059751cc6a", "32": "f6bcf56c4589316b", "33": "75f750c5b7d9f63d", "34": "f024ff7942935690", "35": "c4fa292c3dfb0d0e", "36": "a7d375041779bad4", "37": "cb8f26249485324a", "38": "9a25b1230b5fe649", "39": "fdd95375b4a5ddb3", "40": "c6e2efd58425d13d", "41": "d96493a5f110bd4c", "42": "ffd960136fde00ad", "43": "5b04375ec4594cb1", "44": "852c1bb2446edd9c", "45": "92ab3e5134ed8685", "46": "65718282b3c32109", "47": "e594ecaa8e7d1538", "48": "1e2c13775a52fdea", "49": "1f976711cda158dc", "50": "bbb2b57d72922b16", "51": "eb6a182204867275", "52": "2ec3c8c088568ba9", "53": "68c45056378341a7", "54": "c58d41e8e580fdc6", "55": "54d7329fed675057", "56": "8c9a3fc5edff7e44", "57": "f2a40b5f1b29f669", "58": "d0d4f9872c8bcc83", "59": "891f59cda3708718", "60": "a505b7de6257a4e8", "61": "2d008ec4a8df7849", "62": "1366ae24c7e5897d", "63": "c256b43f75d7809e", "64": "ce0e68dab611f022", "65": "74ae017de0ffd36b", "66": "e042d7fe7351bcb9", "67": "3e126d8deaf6e200", "68": "6b91f3679541de79", "69": "e511846eeba03076", "70": "880a74c6d255e5cc", "71": "cd6f168abba94fea", "72": "c84f196a7bd35861", "73": "2b887bf601ccfb9f", "74": "ae2a154311e1f53a", "75": "69fdd23278518884", "76": "68250611c66f576f", "77": "429cd62f9137881c", "78": "f4aae1bece83f9e0", "79": "c6cfdfe181232ecc", "80": "315325cde1352e98", "81": "37c559741825be74", "82": "2b037735e1f5b0f6", "83": "1284897282eb47a3", "84": "d8bb296741d3d05c", "86": "f8b38aeaaab11ec4", "87": "e5fa7717989eda80", "89": "9e3363b80eeceeea", "90": "dd1c246e19a2d032", "92": "fced244d93677d90", "97": "01f68dfc34a29d32", "98": "8c471c7baeaaca54"}
\ No newline at end of file
diff --git a/graphify-out/GRAPH_REPORT.md b/graphify-out/GRAPH_REPORT.md
index 0c4a000..f0acff3 100644
--- a/graphify-out/GRAPH_REPORT.md
+++ b/graphify-out/GRAPH_REPORT.md
@@ -1,16 +1,16 @@
 # Graph Report - juzi  (2026-10-12)
 
 ## Corpus Check
-- 77 files · ~4,389,710 words
+- 77 files · ~4,389,750 words
 - Verdict: corpus is large enough that graph structure adds value.
 
 ## Summary
-- 1280 nodes · 2677 edges · 93 communities (76 shown, 17 thin omitted)
+- 1280 nodes · 2677 edges · 92 communities (75 shown, 17 thin omitted)
 - Extraction: 93% EXTRACTED · 7% INFERRED · 0% AMBIGUOUS · INFERRED: 181 edges (avg confidence: 0.53)
 - Token cost: 0 input · 0 output
 
 ## Graph Freshness
-- Built from commit: `abb1c4c1`
+- Built from commit: `fe9623a1`
 - Run `git rev-parse HEAD` and compare to check if the graph is stale.
 - Run `graphify update .` after code changes (no API cost).
 
@@ -92,7 +92,6 @@
 - wechat-browser.mjs
 - 10.09 新版 H5 实施与验收
 - 微信登录联调：2026-10-12
-- .predictAgeAndGender
 - LabeledFaceDescriptors
 - 产品推荐规则：肤龄基准与边界调整
 - 傅艳NEW与项思炼的会话 2026年10月12日.md
@@ -127,7 +126,7 @@
 ## Import Cycles
 - None detected.
 
-## Communities (93 total, 17 thin omitted)
+## Communities (92 total, 17 thin omitted)
 
 ### Community 0 - "face-api.js"
 Cohesion: 0.02
@@ -214,8 +213,8 @@ Cohesion: 0.05
 Nodes (28): AgeGenderNet(), disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$1() (+20 more)
 
 ### Community 22 - "extractAllFacesAndComputeResults"
-Cohesion: 0.12
-Nodes (8): ComputeAllFaceDescriptorsTask(), ComputeSingleFaceDescriptorTask(), extendWithFaceDescriptor(), extendWithFaceExpressions(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult(), PredictAllFaceExpressionsTask(), PredictSingleFaceExpressionsTask()
+Cohesion: 0.09
+Nodes (12): ComputeAllFaceDescriptorsTask(), ComputeSingleFaceDescriptorTask(), extendWithAge(), extendWithFaceDescriptor(), extendWithFaceExpressions(), extendWithGender(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult() (+4 more)
 
 ### Community 23 - "facepp-skinanalyze（旷视皮肤分析专业版调用技能）"
 Cohesion: 0.20
@@ -310,7 +309,7 @@ Cohesion: 0.60
 Nodes (5): diffCtx(), loadJSON(), main(), okNum(), okStr()
 
 ### Community 58 - ".dispose"
-Cohesion: 0.22
+Cohesion: 0.21
 Nodes (9): FaceRecognitionNet(), getSizesForScale(), nonMaxSuppression(), normalize$1(), rescaleAndNormalize(), scale(), stage1(), stage2() (+1 more)
 
 ### Community 61 - ".extractWeights"
@@ -385,10 +384,6 @@ Nodes (5): 10.09 新版 H5 实施与验收, 按确认项实现, 文档未定义
 Cohesion: 0.33
 Nodes (6): 后续真机确认与体验优化, 微信登录联调：2026-10-12, 本轮修正, 白名单与凭据, 真实微信验收与排查, 自动验证
 
-### Community 85 - ".predictAgeAndGender"
-Cohesion: 0.28
-Nodes (4): extendWithAge(), extendWithGender(), PredictAllAgeAndGenderTask(), PredictSingleAgeAndGenderTask()
-
 ### Community 87 - "产品推荐规则：肤龄基准与边界调整"
 Cohesion: 0.33
 Nodes (6): 产品推荐规则：肤龄基准与边界调整, 决策顺序, 后台与前端一致性, 实施与验证范围, 已明确的要求, 已确认的三个条件
diff --git a/graphify-out/graph.html b/graphify-out/graph.html
index 04860a7..15ecadc 100644
--- a/graphify-out/graph.html
+++ b/graphify-out/graph.html
@@ -63,12 +63,12 @@
     </div>
     <div id="legend"></div>
   </div>
-  <div id="stats">1280 nodes &middot; 2677 edges &middot; 93 communities</div>
+  <div id="stats">1280 nodes &middot; 2677 edges &middot; 92 communities</div>
 </div>
 <script>
-const RAW_NODES = [{"id": "design_ui_20261009_manifest", "label": "ui-20261009/manifest.json", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.3, "font": {"size": 0, "color": "#ffffff"}, "title": "ui-20261009/manifest.json", "community": 30, "community_name": "ui-20261009/manifest.json", "source_file": "design/ui-20261009/manifest.json", "file_type": "code", "degree": 5}, {"id": "design_ui_20261009_manifest_source", "label": "source", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "source", "community": 30, "community_name": "ui-20261009/manifest.json", "source_file": "design/ui-20261009/manifest.json", "file_type": "code", "degree": 1}, {"id": "design_ui_20261009_manifest_document_size", "label": "document_size", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "document_size", "community": 30, "community_name": "ui-20261009/manifest.json", "source_file": "design/ui-20261009/manifest.json", "file_type": "code", "degree": 1}, {"id": "design_ui_20261009_manifest_pages", "label": "pages", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "pages", "community": 30, "community_name": "ui-20261009/manifest.json", "source_file": "design/ui-20261009/manifest.json", "file_type": "code", "degree": 1}, {"id": "design_ui_20261009_manifest_assets", "label": "assets", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "assets", "community": 30, "community_name": "ui-20261009/manifest.json", "source_file": "design/ui-20261009/manifest.json", "file_type": "code", "degree": 1}, {"id": "design_ui_20261009_manifest_layers", "label": "layers", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "layers", "community": 30, "community_name": "ui-20261009/manifest.json", "source_file": "design/ui-20261009/manifest.json", "file_type": "code", "degree": 1}, {"id": "h5_assets_mock_build_fixture", "label": "build-fixture.py", "color": {"background": "#76B7B2", "border": "#76B7B2", "highlight": {"background": "#ffffff", "border": "#76B7B2"}}, "size": 10.2, "font": {"size": 0, "color": "#ffffff"}, "title": "build-fixture.py", "community": 33, "community_name": "build-fixture.py", "source_file": "h5/assets/mock/build-fixture.py", "file_type": "code", "degree": 3}, {"id": "h5_assets_mock_build_fixture_to_data_url", "label": 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"label": "PredictAllFaceExpressionsWithFaceAlignmentTask", "count": 3}, {"cid": 47, "color": "#FF9DA7", "label": "recommendation.js", "count": 7}, {"cid": 48, "color": "#9C755F", "label": "\u5df2\u4fee\u6539", "count": 8}, {"cid": 49, "color": "#BAB0AC", "label": "mobile-select/README.md", "count": 2}, {"cid": 50, "color": "#4E79A7", "label": "call_skinanalyze_3view.sh", "count": 3}, {"cid": 51, "color": "#F28E2B", "label": "\u7b2c\u4e8c\u8f6e2\u53cd\u9988.md", "count": 1}, {"cid": 52, "color": "#E15759", "label": "region-data.js", "count": 1}, {"cid": 53, "color": "#76B7B2", "label": "\u62a4\u7406\u5efa\u8bae\uff08\u5168\u91cf\u6587\u672c\uff0c\u6309\u9700\u6c42\u6458\u6284\uff09", "count": 20}, {"cid": 54, "color": "#59A14F", "label": "UI \u5bf9\u9f50 10.09 \u8bbe\u8ba1\u7a3f\uff1a\u8c03\u7814\u4e0e\u5b9e\u65bd\u8ba1\u5212", "count": 18}, {"cid": 55, "color": "#EDC948", "label": "i", "count": 31}, {"cid": 56, "color": "#B07AA1", "label": "report-ui.js", "count": 9}, {"cid": 57, "color": "#FF9DA7", "label": "regression.js", "count": 6}, {"cid": 58, "color": "#9C755F", "label": ".dispose", "count": 16}, {"cid": 59, "color": "#BAB0AC", "label": "call_skinanalyze.sh", "count": 2}, {"cid": 60, "color": "#4E79A7", "label": "report-fixture.js", "count": 1}, {"cid": 61, "color": "#F28E2B", "label": ".extractWeights", "count": 33}, {"cid": 62, "color": "#E15759", "label": "\u63d0\u4ea4\u524d Review\uff082026-10-11\uff09", "count": 5}, {"cid": 63, "color": "#76B7B2", "label": "e2e-browser.mjs", "count": 7}, {"cid": 64, "color": "#59A14F", "label": "account-client.js", "count": 6}, {"cid": 65, "color": "#EDC948", "label": "\u5fae\u4fe1\u767b\u5f55\u63a5\u5165\u4e0e\u516c\u7f51\u90e8\u7f72\u8bf4\u660e", "count": 9}, {"cid": 66, "color": "#B07AA1", "label": "report-persistence.mjs", "count": 7}, {"cid": 67, "color": "#FF9DA7", "label": "ui-20261009.mjs", "count": 2}, {"cid": 68, "color": "#9C755F", "label": "analyze-timeout.js", "count": 10}, {"cid": 69, "color": "#BAB0AC", "label": "misans/README.md", "count": 2}, {"cid": 70, "color": "#4E79A7", "label": ".forwardInput", "count": 10}, {"cid": 71, "color": "#F28E2B", "label": ".toString", "count": 6}, {"cid": 72, "color": "#E15759", "label": "build_report_copy.py", "count": 2}, {"cid": 73, "color": "#76B7B2", "label": "camera-geometry.js", "count": 1}, {"cid": 74, "color": "#59A14F", "label": "report-copy.js", "count": 1}, {"cid": 75, "color": "#EDC948", "label": "prepare_h5_assets.py", "count": 1}, {"cid": 76, "color": "#B07AA1", "label": ".detect", "count": 20}, {"cid": 77, "color": "#FF9DA7", "label": ".runAndExtendWithFaceDetections", "count": 18}, {"cid": 78, "color": "#9C755F", "label": "t", "count": 14}, {"cid": 79, "color": "#BAB0AC", "label": "\u767b\u5f55\u53cd\u9988\u4e0e\u52a0\u8f7d\u4f18\u5316\uff082026-10-12\uff09", "count": 8}, {"cid": 80, "color": "#4E79A7", "label": "\u7ebf\u4e0a\u5fae\u4fe1\u767b\u5f55\u90e8\u7f72\u8bb0\u5f55", "count": 6}, {"cid": 81, "color": "#F28E2B", "label": "wechat-production.mjs", "count": 5}, {"cid": 82, "color": "#E15759", "label": "wechat-browser.mjs", "count": 9}, {"cid": 83, "color": "#76B7B2", "label": "10.09 \u65b0\u7248 H5 \u5b9e\u65bd\u4e0e\u9a8c\u6536", "count": 7}, {"cid": 84, "color": "#59A14F", "label": "\u5fae\u4fe1\u767b\u5f55\u8054\u8c03\uff1a2026-10-12", "count": 6}, {"cid": 85, "color": "#EDC948", "label": ".predictAgeAndGender", "count": 9}, {"cid": 86, "color": "#B07AA1", "label": "LabeledFaceDescriptors", "count": 2}, {"cid": 87, "color": "#FF9DA7", "label": "\u4ea7\u54c1\u63a8\u8350\u89c4\u5219\uff1a\u80a4\u9f84\u57fa\u51c6\u4e0e\u8fb9\u754c\u8c03\u6574", "count": 6}, {"cid": 89, "color": "#BAB0AC", "label": "\u5085\u8273NEW\u4e0e\u9879\u601d\u70bc\u7684\u4f1a\u8bdd 2026\u5e7410\u670812\u65e5.md", "count": 2}, {"cid": 90, "color": "#4E79A7", "label": "customer-feedback.mjs", "count": 2}, {"cid": 92, "color": "#E15759", "label": "\u5ba2\u6237\u53cd\u9988\u4fee\u6539\uff082026-10-12\uff09", "count": 6}, {"cid": 97, "color": "#FF9DA7", "label": "PredictSingleAgeAndGenderWithFaceAlignmentTask", "count": 3}, {"cid": 98, "color": "#9C755F", "label": "PredictSingleFaceExpressionsWithFaceAlignmentTask", "count": 3}];
+const LEGEND = [{"cid": 0, "color": "#4E79A7", "label": "face-api.js", "count": 113}, {"cid": 1, "color": "#F28E2B", "label": "\u7ebf\u4e0a\u95ed\u73af\u6d4b\u8bd5\uff08\u4e0d\u542b\u771f\u5b9e\u5fae\u4fe1\u6388\u6743\uff09", "count": 8}, {"cid": 2, "color": "#E15759", "label": "app.js", "count": 90}, {"cid": 3, "color": "#76B7B2", "label": "skin-score.js", "count": 48}, {"cid": 4, "color": "#59A14F", "label": "customer-feedback-second.js", "count": 12}, {"cid": 5, "color": "#EDC948", "label": "n", "count": 39}, {"cid": 6, "color": "#B07AA1", "label": ".runAndExtendWithFaceDetection", "count": 11}, {"cid": 7, "color": "#FF9DA7", "label": "k", "count": 11}, {"cid": 8, "color": "#9C755F", "label": "admin.js", "count": 29}, {"cid": 9, "color": "#BAB0AC", "label": "__awaiter", "count": 37}, {"cid": 10, "color": "#4E79A7", "label": "mn", "count": 16}, {"cid": 11, "color": "#F28E2B", "label": "lib/accounts.js", "count": 41}, {"cid": 12, "color": "#E15759", "label": "server.js", "count": 54}, {"cid": 13, "color": "#76B7B2", "label": "files", "count": 16}, {"cid": 14, "color": "#59A14F", "label": ".draw", "count": 5}, {"cid": 15, "color": "#EDC948", "label": "extractFaces", "count": 19}, {"cid": 16, "color": "#B07AA1", "label": "\u5de8\u5b50\u6d4b\u80a4 \u00b7 1&#x27;me \u5728\u7ebf\u808c\u80a4\u6d4b\u8bd5 \u2014 UI \u8bbe\u8ba1\u89c4\u8303", "count": 13}, {"cid": 17, "color": "#FF9DA7", "label": "FaceLandmarks68", "count": 14}, {"cid": 18, "color": "#9C755F", "label": "1&#x27;me \u5728\u7ebf\u808c\u80a4\u6d4b\u8bd5 H5", "count": 15}, {"cid": 19, "color": "#BAB0AC", "label": "head-pose.js", "count": 10}, {"cid": 20, "color": "#4E79A7", "label": "build_fixtures.py", "count": 10}, {"cid": 21, "color": "#F28E2B", "label": "AgeGenderNet", "count": 54}, {"cid": 22, "color": "#E15759", "label": "extractAllFacesAndComputeResults", "count": 26}, {"cid": 23, "color": "#76B7B2", "label": "facepp-skinanalyze\uff08\u65f7\u89c6\u76ae\u80a4\u5206\u6790\u4e13\u4e1a\u7248\u8c03\u7528\u6280\u80fd\uff09", "count": 10}, {"cid": 24, "color": "#59A14F", "label": "\u5de8\u5b50\u6d4b\u80a4 \u00b7 1&#x27;me \u8bed\u97f3\u64ad\u62a5\u5185\u5bb9\u8bbe\u8ba1\u6587\u6863 V1.0", "count": 9}, {"cid": 25, "color": "#EDC948", "label": "mobile-select.iife.min.js", "count": 18}, {"cid": 26, "color": "#B07AA1", "label": "wi", "count": 9}, {"cid": 27, "color": "#FF9DA7", "label": "gen_voice.py", "count": 12}, {"cid": 28, "color": "#9C755F", "label": "C", "count": 22}, {"cid": 29, "color": "#BAB0AC", "label": "face-api.js \u672c\u5730\u5316\u4f9d\u8d56\uff08h5/vendor/faceapi/\uff09", "count": 7}, {"cid": 30, "color": "#4E79A7", "label": "ui-20261009/manifest.json", "count": 6}, {"cid": 31, "color": "#F28E2B", "label": "browser-failures.mjs", "count": 3}, {"cid": 32, "color": "#E15759", "label": "FaceMatcher", "count": 6}, {"cid": 33, "color": "#76B7B2", "label": "build-fixture.py", "count": 5}, {"cid": 34, "color": "#59A14F", "label": "smoke-test.js", "count": 4}, {"cid": 35, "color": "#EDC948", "label": "customer-feedback.js", "count": 18}, {"cid": 36, "color": "#B07AA1", "label": "actualFont", "count": 2}, {"cid": 37, "color": "#FF9DA7", "label": "UI \u5916\u53d1\u7248 10.09 \u56fe\u7247\u8d44\u6e90", "count": 5}, {"cid": 38, "color": "#9C755F", "label": "FaceLandmark68Net", "count": 3}, {"cid": 39, "color": "#BAB0AC", "label": "UI\u4ea4\u4e92\u754c\u9762\u8c03\u6574", "count": 5}, {"cid": 40, "color": "#4E79A7", "label": "extractFaceTensors", "count": 32}, {"cid": 41, "color": "#F28E2B", "label": "NeuralNetwork", "count": 11}, {"cid": 42, "color": "#E15759", "label": "export_psd_assets.py", "count": 5}, {"cid": 43, "color": "#76B7B2", "label": "normalize", "count": 42}, {"cid": 44, "color": "#59A14F", "label": "start-local.sh", "count": 4}, {"cid": 45, "color": "#EDC948", "label": "PredictAllAgeAndGenderWithFaceAlignmentTask", "count": 3}, {"cid": 46, "color": "#B07AA1", "label": "PredictAllFaceExpressionsWithFaceAlignmentTask", "count": 3}, {"cid": 47, "color": "#FF9DA7", "label": "recommendation.js", "count": 7}, {"cid": 48, "color": "#9C755F", "label": "\u5df2\u4fee\u6539", "count": 8}, {"cid": 49, "color": "#BAB0AC", "label": "mobile-select/README.md", "count": 2}, {"cid": 50, "color": "#4E79A7", "label": "call_skinanalyze_3view.sh", "count": 3}, {"cid": 51, "color": "#F28E2B", "label": "\u7b2c\u4e8c\u8f6e2\u53cd\u9988.md", "count": 1}, {"cid": 52, "color": "#E15759", "label": "region-data.js", "count": 1}, {"cid": 53, "color": "#76B7B2", "label": "\u62a4\u7406\u5efa\u8bae\uff08\u5168\u91cf\u6587\u672c\uff0c\u6309\u9700\u6c42\u6458\u6284\uff09", "count": 20}, {"cid": 54, "color": "#59A14F", "label": "UI \u5bf9\u9f50 10.09 \u8bbe\u8ba1\u7a3f\uff1a\u8c03\u7814\u4e0e\u5b9e\u65bd\u8ba1\u5212", "count": 18}, {"cid": 55, "color": "#EDC948", "label": "i", "count": 31}, {"cid": 56, "color": "#B07AA1", "label": "report-ui.js", "count": 9}, {"cid": 57, "color": "#FF9DA7", "label": "regression.js", "count": 6}, {"cid": 58, "color": "#9C755F", "label": ".dispose", "count": 17}, {"cid": 59, "color": "#BAB0AC", "label": "call_skinanalyze.sh", "count": 2}, {"cid": 60, "color": "#4E79A7", "label": "report-fixture.js", "count": 1}, {"cid": 61, "color": "#F28E2B", "label": ".extractWeights", "count": 33}, {"cid": 62, "color": "#E15759", "label": "\u63d0\u4ea4\u524d Review\uff082026-10-11\uff09", "count": 5}, {"cid": 63, "color": "#76B7B2", "label": "e2e-browser.mjs", "count": 7}, {"cid": 64, "color": "#59A14F", "label": "account-client.js", "count": 6}, {"cid": 65, "color": "#EDC948", "label": "\u5fae\u4fe1\u767b\u5f55\u63a5\u5165\u4e0e\u516c\u7f51\u90e8\u7f72\u8bf4\u660e", "count": 9}, {"cid": 66, "color": "#B07AA1", "label": "report-persistence.mjs", "count": 7}, {"cid": 67, "color": "#FF9DA7", "label": "ui-20261009.mjs", "count": 2}, {"cid": 68, "color": "#9C755F", "label": "analyze-timeout.js", "count": 10}, {"cid": 69, "color": "#BAB0AC", "label": "misans/README.md", "count": 2}, {"cid": 70, "color": "#4E79A7", "label": ".forwardInput", "count": 10}, {"cid": 71, "color": "#F28E2B", "label": ".toString", "count": 6}, {"cid": 72, "color": "#E15759", "label": "build_report_copy.py", "count": 2}, {"cid": 73, "color": "#76B7B2", "label": "camera-geometry.js", "count": 1}, {"cid": 74, "color": "#59A14F", "label": "report-copy.js", "count": 1}, {"cid": 75, "color": "#EDC948", "label": "prepare_h5_assets.py", "count": 1}, {"cid": 76, "color": "#B07AA1", "label": ".detect", "count": 20}, {"cid": 77, "color": "#FF9DA7", "label": ".runAndExtendWithFaceDetections", "count": 18}, {"cid": 78, "color": "#9C755F", "label": "t", "count": 14}, {"cid": 79, "color": "#BAB0AC", "label": "\u767b\u5f55\u53cd\u9988\u4e0e\u52a0\u8f7d\u4f18\u5316\uff082026-10-12\uff09", "count": 8}, {"cid": 80, "color": "#4E79A7", "label": "\u7ebf\u4e0a\u5fae\u4fe1\u767b\u5f55\u90e8\u7f72\u8bb0\u5f55", "count": 6}, {"cid": 81, "color": "#F28E2B", "label": "wechat-production.mjs", "count": 5}, {"cid": 82, "color": "#E15759", "label": "wechat-browser.mjs", "count": 9}, {"cid": 83, "color": "#76B7B2", "label": "10.09 \u65b0\u7248 H5 \u5b9e\u65bd\u4e0e\u9a8c\u6536", "count": 7}, {"cid": 84, "color": "#59A14F", "label": "\u5fae\u4fe1\u767b\u5f55\u8054\u8c03\uff1a2026-10-12", "count": 6}, {"cid": 86, "color": "#B07AA1", "label": "LabeledFaceDescriptors", "count": 2}, {"cid": 87, "color": "#FF9DA7", "label": "\u4ea7\u54c1\u63a8\u8350\u89c4\u5219\uff1a\u80a4\u9f84\u57fa\u51c6\u4e0e\u8fb9\u754c\u8c03\u6574", "count": 6}, {"cid": 89, "color": "#BAB0AC", "label": "\u5085\u8273NEW\u4e0e\u9879\u601d\u70bc\u7684\u4f1a\u8bdd 2026\u5e7410\u670812\u65e5.md", "count": 2}, {"cid": 90, "color": "#4E79A7", "label": "customer-feedback.mjs", "count": 2}, {"cid": 92, "color": "#E15759", "label": "\u5ba2\u6237\u53cd\u9988\u4fee\u6539\uff082026-10-12\uff09", "count": 6}, {"cid": 97, "color": "#FF9DA7", "label": "PredictSingleAgeAndGenderWithFaceAlignmentTask", "count": 3}, {"cid": 98, "color": "#9C755F", "label": "PredictSingleFaceExpressionsWithFaceAlignmentTask", "count": 3}];
 
 // HTML-escape helper — prevents XSS when injecting graph data into innerHTML
 function esc(s) {
diff --git a/graphify-out/graph.json b/graphify-out/graph.json
index 0c5bbe5..5018de3 100644
--- a/graphify-out/graph.json
+++ b/graphify-out/graph.json
@@ -4130,7 +4130,7 @@
       "label": "actualFont()",
       "file_type": "code",
       "source_file": "h5/test/customer-feedback-second.mjs",
-      "source_location": "L65",
+      "source_location": "L69",
       "_callable": true,
       "_origin": "ast",
       "id": "h5_test_customer_feedback_second_actualfont",
@@ -9981,8 +9981,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_agegendernet_predictageandgender",
-      "community": 85,
-      "community_name": ".predictAgeAndGender",
+      "community": 58,
+      "community_name": ".dispose",
       "norm_label": ".predictageandgender()"
     },
     {
@@ -10569,8 +10569,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_extendwithage",
-      "community": 85,
-      "community_name": ".predictAgeAndGender",
+      "community": 22,
+      "community_name": "extractAllFacesAndComputeResults",
       "norm_label": "extendwithage()"
     },
     {
@@ -10593,8 +10593,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_extendwithgender",
-      "community": 85,
-      "community_name": ".predictAgeAndGender",
+      "community": 22,
+      "community_name": "extractAllFacesAndComputeResults",
       "norm_label": "extendwithgender()"
     },
     {
@@ -11853,8 +11853,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_predictallageandgendertask",
-      "community": 85,
-      "community_name": ".predictAgeAndGender",
+      "community": 22,
+      "community_name": "extractAllFacesAndComputeResults",
       "norm_label": "predictallageandgendertask()"
     },
     {
@@ -11865,8 +11865,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_predictallageandgendertask_run",
-      "community": 85,
-      "community_name": ".predictAgeAndGender",
+      "community": 22,
+      "community_name": "extractAllFacesAndComputeResults",
       "norm_label": ".run()"
     },
     {
@@ -11877,8 +11877,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_predictallageandgendertask_withfaceexpressions",
-      "community": 85,
-      "community_name": ".predictAgeAndGender",
+      "community": 22,
+      "community_name": "extractAllFacesAndComputeResults",
       "norm_label": ".withfaceexpressions()"
     },
     {
@@ -11889,8 +11889,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_predictsingleageandgendertask",
-      "community": 85,
-      "community_name": ".predictAgeAndGender",
+      "community": 22,
+      "community_name": "extractAllFacesAndComputeResults",
       "norm_label": "predictsingleageandgendertask()"
     },
     {
@@ -11901,8 +11901,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_predictsingleageandgendertask_run",
-      "community": 85,
-      "community_name": ".predictAgeAndGender",
+      "community": 22,
+      "community_name": "extractAllFacesAndComputeResults",
       "norm_label": ".run()"
     },
     {
@@ -11913,8 +11913,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_predictsingleageandgendertask_withfaceexpressions",
-      "community": 85,
-      "community_name": ".predictAgeAndGender",
+      "community": 22,
+      "community_name": "extractAllFacesAndComputeResults",
       "norm_label": ".withfaceexpressions()"
     },
     {
@@ -23650,7 +23650,7 @@
       "relation": "contains",
       "confidence": "EXTRACTED",
       "source_file": "h5/test/customer-feedback-second.mjs",
-      "source_location": "L65",
+      "source_location": "L69",
       "weight": 1.0,
       "_origin": "ast",
       "source": "h5_test_customer_feedback_second_mjs_h5_test_customer_feedback_second",
@@ -45977,5 +45977,5 @@
     }
   ],
   "hyperedges": [],
-  "built_at_commit": "abb1c4c1deafca7b072f8bf1b0d4fdfa3085d100"
+  "built_at_commit": "fe9623a1d7c8e990eb00e36a3f532969bc3429a6"
 }
\ No newline at end of file
diff --git a/graphify-out/manifest.json b/graphify-out/manifest.json
index 6a1ece1..c2350ba 100644
--- a/graphify-out/manifest.json
+++ b/graphify-out/manifest.json
@@ -1680,8 +1680,8 @@
     "semantic_hash": ""
   },
   "h5/test/customer-feedback-second.mjs": {
-    "mtime": 1791786653.9070883,
-    "ast_hash": "4dbb7749ae94be10910e3dbf8b090c72",
+    "mtime": 1791787113.9230983,
+    "ast_hash": "2ee0f030571c4a0f6b897a8f9bd4b15d",
     "semantic_hash": ""
   },
   "docs/\u5ba2\u6237\u53cd\u9988\u7b2c\u4e8c\u6279\u4fee\u6539-2026-10-12.md": {
diff --git a/h5/test/customer-feedback-second.mjs b/h5/test/customer-feedback-second.mjs
index 53a2a4e..7048ea3 100644
--- a/h5/test/customer-feedback-second.mjs
+++ b/h5/test/customer-feedback-second.mjs
@@ -55,7 +55,11 @@ try {
   await page.waitForLoadState('networkidle');
   assert(!requests.some(p => /\.woff2$|faceapi/.test(p)), 'home typography must not add full fonts or face engine');
   await page.click('[data-action="open-privacy"]');
+  await page.waitForSelector('#p-privacy.show');
   await page.waitForSelector('link[href="css/fonts.css"]', { state: 'attached' });
+  // A link being attached does not mean its font faces are registered yet,
+  // especially through the public reverse proxy rather than localhost.
+  await page.waitForFunction(() => [...document.fonts].some(font => /MiSans Demibold/.test(font.family)));
   await page.evaluate(async () => { await document.fonts.load('700 23px "MiSans Demibold"', "欢迎体验肌肤状态评估服务"); });
   await page.waitForLoadState('networkidle');
   assert(requests.some(p => /MiSans-Demibold\.woff2$/.test(p)), 'consent must load PSD Demibold before profile');
@@ -108,6 +112,7 @@ try {
   }
   await page.goto(base + '?mock=1&screen=report');
   await page.waitForFunction(() => document.querySelector('#stat-score b').textContent !== '--');
+  await page.waitForFunction(() => [...document.fonts].some(font => /MiSans Demibold/.test(font.family)));
   await page.evaluate(async () => { await document.fonts.load('700 40px "MiSans Demibold"', '0123456789'); await document.fonts.load('600 23px MiSans', '护理建议您的肌肤状态表现紧塑力'); });
   await page.waitForLoadState('networkidle');
   for (const selector of ['#stat-score b', '#stat-age b', '.dim-score b']) await actualFont(selector, 'Demibold');