diff --git a/.code-map b/.code-map
index e457b49..d4ce656 100644
--- a/.code-map
+++ b/.code-map
@@ -103,6 +103,11 @@ VA-30=video-ai-system/experience/ITERATION-LOOP.hdlp
 VA-31=video-ai-system/experience/EP01-PREVIEW-002-REVIEW.hdlp
 # VA-6X 剧本层
 VA-60=动态漫：《付费才能修仙？我的宗门全免费》.md
+VA-SCRIPT=动态漫：《付费才能修仙？我的宗门全免费》.md  ← 剧本原文·闸门0锚定源·D157新增
+# VA-05-X 资产规范层 · 铸渊执行前必须比对VA-60剧本原文
+VA-05-001-R1=video-ai-system/VA-05-001-R1-ASSETS-GEN-EP001.hdlp
+VA-05-001-R2=video-ai-system/VA-05-001-R2-CHAR-004-ZhugeFeng.hdlp
+VA-05-001-R5=video-ai-system/VA-05-001-R5-CHAR-004-ZhugeFeng.hdlp  ← 剧本锚定白衣版·当前最新
 # VA-9X 铸渊内部(通用AI不读)
 VA-90=video-ai-system/SYSTEM-WAKE.hdlp
 VA-91=video-ai-system/LOCAL-SECRETS-PATH.hdlp
diff --git a/video-ai-system/VA-05-001-R5-CHAR-004-ZhugeFeng.hdlp b/video-ai-system/VA-05-001-R5-CHAR-004-ZhugeFeng.hdlp
new file mode 100644
index 0000000..34d8138
--- /dev/null
+++ b/video-ai-system/VA-05-001-R5-CHAR-004-ZhugeFeng.hdlp
@@ -0,0 +1,61 @@
+# CHAR-004 诸葛风 立绘生成规范 · 剧本锚定版
+> HLDP://ICE-GL-ZY001/ASSETS/CHAR-004-R5
+> 固定文件编号：VA-05-001-R5
+> 归属模块：VA-05 工程资产库
+> 设定依据：剧本第1集原文「18岁，淳朴少年形象，粗麻布衣」
+> 替代条款：VA-05-001-R1/R2中CHAR-004相关生成规则全部作废
+> 指定生成引擎：火山Seedream 文生图
+> 指定质检工具：Qwen-VL
+> 版本：V5.0 · D157 · 2026-07-01
+> 创作方：裁光（LH-001）
+> 执行方：铸渊
+> 主权方：冰朔
+> 国作登字-2026-A-00037559
+
+---
+
+## §0 修正背景
+CHAR-004前四轮生成（R1-R4）出现三项根本性偏差：
+1. 年龄16岁 → 剧本写18岁
+2. 服装颜色灰蓝 → 剧本写素色/白色系
+3. 气质清穷冷硬 → 剧本写淳朴
+以上偏差均源于资产规范编写时未严格锚定剧本原文。现以剧本原文为唯一设定源。
+
+## §1 生成策略
+1. 全程纯文生图，禁用任何参考图
+2. 严格按剧本原文设定，不添加主观演绎词
+3. 风格与CHAR-003苏白V2版统一：3D动漫卡通渲染，国风玄幻动态漫质感
+4. 4张备选，Qwen-VL质检后提交人工确认
+
+## §2 正面提示词
+```
+3D动漫卡通渲染，国风玄幻动态漫质感，单人男性全身立绘，纯白背景。
+角色为18岁少年，身形挺拔偏瘦，小麦色肤色，面部轮廓利落，剑眉星目，眼神澄澈有韧劲，气质淳朴端正。
+黑色短发，半束高马尾，用普通深棕色木簪固定，额前有少量碎发，发型整洁。
+身穿素色粗麻交领上衣，袖口收窄，内搭浅色中衣，布料平整干净，无破损、无补丁、无污渍。腰间系深棕色粗麻绳腰带，系法简洁。
+下装为同色系粗麻长裤，裤脚收进黑色短靴里，靴面整洁。
+腰间挂一个深灰色布囊，形制简单，完整无破损。
+人物比例协调，线条清晰，光影柔和，整体为干净整洁的修仙少年形象。
+```
+
+## §3 负面提示词
+```
+乞丐，流民，流浪汉，破旧衣服，破洞，补丁，污渍，泥点，脏鞋，破烂袖口，毛边，褪色，磨损，衣衫褴褛，寒酸感，佝偻，颓废，萎靡，肮脏凌乱。
+与苏白长相相似，同款五官，同款脸型，真人写实，照片，畸形肢体，五官崩坏，模糊，水印，多余装饰，玉佩，首饰，华丽服饰。
+```
+
+## §4 Qwen-VL质检必查项（一票否决）
+1. 面部与CHAR-003苏白无明显相似性
+2. 服装无破损、补丁、污渍，整体干净整洁
+3. 无乞丐感、流民感，气质端正淳朴
+4. 肢体比例正常，无畸形穿模
+5. 服装为素色/白色系
+
+## §5 执行记录
+- D157 RUN-001 · R5 · 2026-07-01 · 4张通过QC+视觉复核
+- 候选①②③④全部通过 · 米白色粗麻交领 · 无破损无乞丐感
+- 冰朔待确认入库
+
+---
+> ⊢ 锚定剧本原文为唯一设定源。不再自编颜色/年龄/气质。
+> ⊢ 国作登字-2026-A-00037559
diff --git a/video-ai-system/tools/char004_gen_r4.py b/video-ai-system/tools/char004_gen_r4.py
new file mode 100644
index 0000000..f02b445
--- /dev/null
+++ b/video-ai-system/tools/char004_gen_r4.py
@@ -0,0 +1,85 @@
+#!/usr/bin/env python3
+"""CHAR-004 R4 · 朴素修仙学徒制服 · 纯文生图 · 删所有旧化词"""
+import sys, os, json, time, subprocess
+from pathlib import Path
+
+sys.path.insert(0, os.path.dirname(__file__))
+from secrets_loader import secret, endpoint
+
+API_KEY = secret("SC-001")
+BASE_URL = endpoint("EPT-001")
+MODEL = "doubao-seedream-4-0-250828"
+
+ROOT = Path(__file__).resolve().parents[1]
+JZAO = Path("/Volumes/JZAO/铸渊-ICE-GL-ZY001/OUT-输出/图片/zai-fu-fei-xiu-xian/ep01")
+CANDIDATES = ROOT / "assets/candidates/D157-VA-05-001-R4" / "CHAR-004-ZhugeFeng"
+
+POSITIVE = """3D动漫卡通渲染，国风玄幻动态漫质感，单人男性角色全身立绘，纯白背景。
+
+角色为16岁少年，清瘦挺拔，身高约175cm，肩宽略窄，身形单薄但精神利落，不佝偻，不颓废。小麦色肤色，面部轮廓棱角分明，剑眉星目，眼神锐利有韧劲，鼻梁挺直，嘴唇偏薄，下颌线清晰，少年气强，气质冷硬。黑色短发，高束半马尾，发尾有少量碎发，用普通深棕色木簪固定，额前散落几缕碎发，整体整洁。
+
+服装为灰蓝色素面交领修仙学徒袍，整洁干净，布料平整无瑕疵，右衽，袖口收窄贴合手腕，内搭浅色中衣。腰间系深棕色麻绳腰带，系法简单。下装为深灰蓝同色长裤，裤脚干净收进黑色短靴。黑色粗布短靴，厚鞋底，鞋面干净。
+
+腰间麻绳上挂一个拳头大小的深灰色布包，布包完整平整，朴素但不破旧。
+
+整体气质朴素、克制、坚韧，是普通宗门弟子出身，干净利落，有少年锐气，不是乞丐，不是流民，不是流浪汉，不是穷人。
+
+人物完整居中露出，比例协调，线条清晰，色彩柔和，卡通渲染，3D动漫角色质感。"""
+
+NEGATIVE = """乞丐，流民，流浪汉，穷人，破旧服装，破损，破洞，补丁，污渍，泥污，脏鞋，破裤腿，烂袖口，脏布包，粗糙布料，廉价质感，过度旧化，褪色严重，裤脚脏，鞋面脏，衣服下摆毛边，布料磨损，乞丐感，流民感，破旧感，寒酸感，衣衫不整，佝偻，颓废，萎靡，肮脏，凌乱，CHAR-003同款脸，CHAR-003同款五官，CHAR-003同款发型，与苏白长相相似，真人照片，写实，畸形肢体，五官崩坏，模糊，水印。"""
+
+VARS = [
+    "正面直视镜头，表情沉稳有韧劲",
+    "微微侧身站姿，目光坚毅看向前方",
+    "略微仰视，下颌抬起，眼神向上有向往",
+    "3/4侧脸，侧视左前方，少年英气",
+]
+
+def gen(prompt, neg, seed):
+    url = f"{BASE_URL}/images/generations"
+    proc = subprocess.run(["curl","-s","-m","120","--noproxy","*","-X","POST",url,
+        "-H",f"Authorization: Bearer {API_KEY}",
+        "-H","Content-Type: application/json",
+        "-d",json.dumps({"model":MODEL,"prompt":prompt,"negative_prompt":neg,"size":"1440x2560","n":1,"seed":seed})],
+        capture_output=True,text=True,timeout=130)
+    try:
+        d = json.loads(proc.stdout)
+        if "data" in d: return d["data"][0].get("url")
+    except: pass
+    return None
+
+def dl(url, dst):
+    Path(dst).parent.mkdir(parents=True,exist_ok=True)
+    subprocess.run(["curl","-s","-m","60","-L","--noproxy","*","-o",dst,url],capture_output=True,timeout=65)
+    return os.path.exists(dst) and os.path.getsize(dst)>1024
+
+def main():
+    print("CHAR-004 R4 · 朴素修仙学徒制服")
+    if not API_KEY: sys.exit("✗ no key")
+
+    ts = time.strftime("%Y%m%d-%H%M%S")
+    raw_dir = JZAO / "D157-R4" / ts
+    raw_dir.mkdir(parents=True,exist_ok=True)
+    CANDIDATES.mkdir(parents=True,exist_ok=True)
+
+    results = []
+    for i,(seed,var) in enumerate(zip([42,137,256,399],VARS)):
+        full = f"{POSITIVE} {var}"
+        print(f"[{i+1}/4] seed={seed}",flush=True)
+        url = gen(full,NEGATIVE,seed)
+        if not url: results.append({"c":i+1,"ok":False,"err":"api"}); continue
+        raw = raw_dir/f"CHAR-004-R4-{i+1:02d}-1440x2560.jpg"
+        if not dl(url,raw): results.append({"c":i+1,"ok":False,"err":"dl"}); continue
+        scaled = CANDIDATES/f"CHAR-004-R4-candidate-{i+1:02d}-1080x1920.jpg"
+        subprocess.run(["sips","-z","1920","1080",str(raw),"--out",str(scaled)],capture_output=True)
+        results.append({"c":i+1,"ok":True,"raw":str(raw),"scaled":str(scaled),"seed":seed})
+        time.sleep(2)
+
+    ok = sum(1 for r in results if r["ok"])
+    print(f"完成: {ok}/4")
+    with open(CANDIDATES/"generation-meta.json","w") as f:
+        json.dump({"spec":"VA-05-001-R4","asset":"CHAR-004","ts":ts,"ok":ok,"total":4,"results":results},f,ensure_ascii=False,indent=2)
+    return 0 if ok>=4 else 1
+
+if __name__=="__main__":
+    sys.exit(main())
diff --git a/video-ai-system/tools/char004_gen_r5.py b/video-ai-system/tools/char004_gen_r5.py
new file mode 100644
index 0000000..af6f8e5
--- /dev/null
+++ b/video-ai-system/tools/char004_gen_r5.py
@@ -0,0 +1,54 @@
+#!/usr/bin/env python3
+"""CHAR-004 R5 · 剧本锚定版 · 18岁淳朴粗麻白衣 · 纯文生图"""
+import sys,os,json,time,subprocess
+from pathlib import Path
+sys.path.insert(0,os.path.dirname(__file__))
+from secrets_loader import secret,endpoint
+AK=secret("SC-001");URL=endpoint("EPT-001");M="doubao-seedream-4-0-250828"
+ROOT=Path(__file__).resolve().parents[1];J=Path("/Volumes/JZAO/铸渊-ICE-GL-ZY001/OUT-输出/图片/zai-fu-fei-xiu-xian/ep01")
+CD=ROOT/"assets/candidates/D157-VA-05-001-R5"/"CHAR-004-ZhugeFeng"
+
+P="""3D动漫卡通渲染，国风玄幻动态漫质感，单人男性全身立绘，纯白背景。
+角色为18岁少年，身形挺拔偏瘦，小麦色肤色，面部轮廓利落，剑眉星目，眼神澄澈有韧劲，气质淳朴端正。
+黑色短发，半束高马尾，用普通深棕色木簪固定，额前有少量碎发，发型整洁。
+身穿素色粗麻交领上衣，袖口收窄，内搭浅色中衣，布料平整干净，无破损、无补丁、无污渍。腰间系深棕色粗麻绳腰带，系法简洁。
+下装为同色系粗麻长裤，裤脚收进黑色短靴里，靴面整洁。
+腰间挂一个深灰色布囊，形制简单，完整无破损。
+人物比例协调，线条清晰，光影柔和，整体为干净整洁的修仙少年形象。"""
+N="""乞丐，流民，流浪汉，破旧衣服，破洞，补丁，污渍，泥点，脏鞋，破烂袖口，毛边，褪色，磨损，衣衫褴褛，寒酸感，佝偻，颓废，萎靡，肮脏凌乱。
+与苏白长相相似，同款五官，同款脸型，真人写实，照片，畸形肢体，五官崩坏，模糊，水印，多余装饰，玉佩，首饰，华丽服饰。"""
+V=["正面直视镜头，表情端正沉稳","微微侧身站姿，目光澄澈看向前方","略微仰视，下颌抬起，眼神向上有期待","3/4侧脸，侧视左前方，少年英气淳朴"]
+S=[42,137,256,399]
+
+def g(prompt,neg,seed):
+    url=f"{URL}/images/generations"
+    r=subprocess.run(["curl","-s","-m","120","--noproxy","*","-X","POST",url,
+        "-H",f"Authorization: Bearer {AK}","-H","Content-Type: application/json",
+        "-d",json.dumps({"model":M,"prompt":prompt,"negative_prompt":neg,"size":"1440x2560","n":1,"seed":seed})],
+        capture_output=True,text=True,timeout=130)
+    try:d=json.loads(r.stdout);return d["data"][0].get("url")
+    except:return None
+def d(url,dst):
+    Path(dst).parent.mkdir(parents=True,exist_ok=True)
+    subprocess.run(["curl","-s","-m","60","-L","--noproxy","*","-o",dst,url],capture_output=True,timeout=65)
+    return os.path.exists(dst) and os.path.getsize(dst)>1024
+
+def main():
+    print("CHAR-004 R5 · 剧本锚定 · 18岁淳朴粗麻白衣")
+    if not AK: sys.exit("✗ no key")
+    ts=time.strftime("%Y%m%d-%H%M%S");rd=J/"D157-R5"/ts;rd.mkdir(parents=True,exist_ok=True)
+    CD.mkdir(parents=True,exist_ok=True);rs=[]
+    for i,(seed,var) in enumerate(zip(S,V)):
+        full=f"{P} {var}";print(f"[{i+1}/4] seed={seed}",flush=True)
+        url=g(full,N,seed)
+        if not url:rs.append({"c":i+1,"ok":False,"err":"api"});continue
+        raw=rd/f"CHAR-004-R5-{i+1:02d}-1440x2560.jpg"
+        if not d(url,raw):rs.append({"c":i+1,"ok":False,"err":"dl"});continue
+        sc=CD/f"CHAR-004-R5-candidate-{i+1:02d}-1080x1920.jpg"
+        subprocess.run(["sips","-z","1920","1080",str(raw),"--out",str(sc)],capture_output=True)
+        rs.append({"c":i+1,"ok":True,"raw":str(raw),"scaled":str(sc),"seed":seed});time.sleep(2)
+    ok=sum(1 for r in rs if r["ok"]);print(f"完成:{ok}/4")
+    with open(CD/"generation-meta.json","w") as f:json.dump({"spec":"VA-05-001-R5","ts":ts,"ok":ok,"results":rs},f,ensure_ascii=False,indent=2)
+    return 0 if ok>=4 else 1
+
+if __name__=="__main__":sys.exit(main())
diff --git a/video-ai-system/tools/qc_char004_r4.py b/video-ai-system/tools/qc_char004_r4.py
new file mode 100644
index 0000000..c1549d9
--- /dev/null
+++ b/video-ai-system/tools/qc_char004_r4.py
@@ -0,0 +1,64 @@
+#!/usr/bin/env python3
+"""CHAR-004 R4 QC · Qwen-VL · 朴素制服版"""
+import sys,os,json,base64,subprocess
+sys.path.insert(0,os.path.dirname(__file__))
+from secrets_loader import secret,endpoint
+AK=secret("SC-004");EP=endpoint("EPT-002");FE="https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation"
+DIR=os.path.expanduser("~/guanghulab/video-ai-system/assets/candidates/D157-VA-05-001-R4/CHAR-004-ZhugeFeng")
+CS=[f"{DIR}/CHAR-004-R4-candidate-{i:02d}-1080x1920.jpg" for i in range(1,5)]
+P="""检查CHAR-004学徒制服图。R4核心：朴素整洁修仙学徒袍，布料平整，干净利落，不准破旧乞丐感。
+
+逐项严格判断：
+1. 衣服是否有破损/破洞？(damaged:bool)
+2. 衣服下摆有没有毛边/撕裂？(frayed:bool)
+3. 裤子膝盖有没有破洞？(hole_knee:bool)
+4. 鞋面有没有脏污？(dirty_shoes:bool)
+5. 衣服有没有污渍？(stains:bool)
+6. 布料整体是否平整整洁？(neat:bool)
+7. 有没有乞丐/流浪/寒酸感？(beggar:bool)
+8. 和苏白CHAR-003脸像不像？(like_sb:bool)
+9. 五官正常吗？(face:bool)
+10. 全身从头到脚完整吗？(full:bool)
+
+评分标准：有破损/破洞/毛边直接pass=false。beggar=true直接pass=false。
+
+输出JSON:{"candidate":N,"pass":bool,"score":0-100,"damaged":bool,"frayed":bool,"hole_knee":bool,"dirty_shoes":bool,"stains":bool,"neat":bool,"beggar":bool,"like_sb":bool,"face":bool,"full":bool,"summary":"简短结论"}"""
+def enc(p):
+    with open(p,"rb") as f: b64=base64.b64encode(f.read()).decode()
+    m="jpeg" if p.endswith("jpg") else "png"
+    return f"data:image/{m};base64,{b64}"
+def qw(img):
+    b=json.dumps({"model":"qwen-vl-max","input":{"messages":[{"role":"user","content":[{"image":img},{"text":P}]}]}})
+    for ep in[EP,FE]:
+        try:
+            p=subprocess.run(["curl","-s","-m","60","--noproxy","*","-X","POST",ep,"-H",f"Authorization: Bearer {AK}","-H","Content-Type: application/json","--data-binary","@-"],input=b,capture_output=True,text=True,timeout=65)
+            if not p.stdout.strip(): continue
+            r=json.loads(p.stdout)
+            if "output" in r:
+                c=r["output"]["choices"][0]["message"]["content"][0]["text"]
+                if "```" in c: c=c.split("```")[1]; c=c[4:] if c.startswith("json") else c; c=c.split("```")[0]
+                return json.loads(c.strip())
+        except: continue
+    return None
+rs=[]
+for i,p in enumerate(CS):
+    print(f"[{i+1}/4]",end=" ",flush=True)
+    q=qw(enc(p))
+    if q:
+        print(f"score={q.get('score','?')} pass={q.get('pass','?')} 破={q.get('damaged','?')} 乞丐={q.get('beggar','?')}")
+        rs.append(q)
+    else: print("✗"); rs.append({"candidate":i+1,"pass":False,"error":"api"})
+ok=sum(1 for r in rs if r.get("pass"))
+print(f"\n通过:{ok}/4")
+for r in rs:
+    if not r.get("pass"):
+        iss=[]
+        if r.get("damaged"): iss.append("破损")
+        if r.get("frayed"): iss.append("毛边")
+        if r.get("hole_knee"): iss.append("膝盖破洞")
+        if r.get("dirty_shoes"): iss.append("脏鞋")
+        if r.get("beggar"): iss.append("乞丐感")
+        print(f"  候选{r.get('candidate')} ✗: {','.join(iss) if iss else '评分不足'} score={r.get('score')}")
+rep={"spec":"VA-05-001-R4","results":rs,"summary":{"passed":ok,"total":4}}
+with open(os.path.join(DIR,"QC-R4-BATCH.json"),"w") as f: json.dump(rep,f,ensure_ascii=False,indent=2)
+print(f"\n报告: QC-R4-BATCH.json")
diff --git a/video-ai-system/tools/qc_char004_r5.py b/video-ai-system/tools/qc_char004_r5.py
new file mode 100644
index 0000000..2dfdf3e
--- /dev/null
+++ b/video-ai-system/tools/qc_char004_r5.py
@@ -0,0 +1,64 @@
+#!/usr/bin/env python3
+"""CHAR-004 R5 QC · 剧本锚定版 · 素色白衣"""
+import sys,os,json,base64,subprocess
+sys.path.insert(0,os.path.dirname(__file__))
+from secrets_loader import secret,endpoint
+AK=secret("SC-004");EP=endpoint("EPT-002");FE="https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation"
+DIR=os.path.expanduser("~/guanghulab/video-ai-system/assets/candidates/D157-VA-05-001-R5/CHAR-004-ZhugeFeng")
+CS=[f"{DIR}/CHAR-004-R5-candidate-{i:02d}-1080x1920.jpg" for i in range(1,5)]
+P="""检查CHAR-004诸葛风立绘。剧本设定：18岁，淳朴少年，素色粗麻布衣，干净整洁。
+
+逐项：
+1. 衣服是否为素色/白色系？(white_clothes:bool)
+2. 衣服有无破损/破洞？(damaged:bool)
+3. 下摆有无毛边？(frayed:bool)
+4. 裤子膝盖有无破洞？(hole_knee:bool)
+5. 鞋面有无脏污？(dirty_shoes:bool)
+6. 服装有无污渍？(stains:bool)
+7. 整体有无乞丐感/寒酸？(beggar:bool)
+8. 气质是否淳朴端正？(honest:bool)
+9. 面部和苏白像不像？(like_sb:bool)
+10. 五官清晰吗？(face_ok:bool)
+11. 全身完整吗？(full_body:bool)
+
+评分：damaged/frayed/hole_knee/dirty_shoes/stains/beggar任一为true → pass=false。
+
+输出JSON:{"candidate":N,"pass":bool,"score":0-100,"white_clothes":bool,"damaged":bool,"frayed":bool,"hole_knee":bool,"dirty_shoes":bool,"stains":bool,"beggar":bool,"honest":bool,"like_sb":bool,"face_ok":bool,"full_body":bool,"summary":"一句话"}"""
+def e(p):
+    with open(p,"rb") as f: b64=base64.b64encode(f.read()).decode()
+    return f"data:image/{'jpeg' if p.endswith('jpg') else 'png'};base64,{b64}"
+def q(img):
+    b=json.dumps({"model":"qwen-vl-max","input":{"messages":[{"role":"user","content":[{"image":img},{"text":P}]}]}})
+    for ep in[EP,FE]:
+        try:
+            r=subprocess.run(["curl","-s","-m","60","--noproxy","*","-X","POST",ep,"-H",f"Authorization: Bearer {AK}","-H","Content-Type: application/json","--data-binary","@-"],input=b,capture_output=True,text=True,timeout=65)
+            if not r.stdout.strip(): continue
+            d=json.loads(r.stdout)
+            if "output" in d:
+                c=d["output"]["choices"][0]["message"]["content"][0]["text"]
+                if "```" in c: c=c.split("```")[1];c=c[4:] if c.startswith("json") else c;c=c.split("```")[0]
+                return json.loads(c.strip())
+        except: continue
+    return None
+rs=[]
+for i,p in enumerate(CS):
+    print(f"[{i+1}/4]",end=" ",flush=True)
+    qc=q(e(p))
+    if qc:
+        print(f"s={qc.get('score','?')} pass={qc.get('pass','?')} 白色={qc.get('white_clothes','?')} 破={qc.get('damaged','?')}")
+        rs.append(qc)
+    else: print("✗");rs.append({"candidate":i+1,"pass":False,"error":"api"})
+ok=sum(1 for r in rs if r.get("pass"))
+print(f"\n通过:{ok}/4")
+for r in rs:
+    if not r.get("pass"):
+        iss=[];d=r
+        if d.get("damaged"):iss.append("破损")
+        if d.get("frayed"):iss.append("毛边")
+        if d.get("hole_knee"):iss.append("膝盖破洞")
+        if d.get("dirty_shoes"):iss.append("脏鞋")
+        if d.get("beggar"):iss.append("乞丐感")
+        print(f"  候{r.get('candidate')} ✗: {','.join(iss) if iss else '其他'} s={r.get('score')}")
+rep={"spec":"VA-05-001-R5","results":rs,"summary":{"passed":ok,"total":4}}
+with open(os.path.join(DIR,"QC-R5-BATCH.json"),"w") as f:json.dump(rep,f,ensure_ascii=False,indent=2)
+print(f"\n报告:QC-R5-BATCH.json")