diff --git a/README.md b/README.md
index 4fc3c9f..33aa2c9 100644
--- a/README.md
+++ b/README.md
@@ -42,7 +42,7 @@ pip install .
 离线验证安装（不需要模型、不联网）：
 
 ```bash
-evalharness eval run gsm8k --model mock:boxed --limit 8
+evalharness eval run gsm8k --model mock-boxed --limit 8
 # acc 100% —— mock 适配器直接输出金标答案，证明
 # 数据 → prompt → 生成 → 判分 → 报告 全链路可用
 ```
@@ -68,7 +68,7 @@ evalharness eval run gsm8k \
 | `--api-url URL` | OpenAI 兼容端点；与 `--model` 搭配使用（不用手拼 spec 字符串） |
 | `--model NAME` | 服务端模型名（配合 `--api-url`）；或直接给完整 spec：`openai/http://h:8000/v1?qwen3-8b` |
 | `--provider {openai-chat,openai-pool}` | 协议/提供方，默认 `openai-chat`；端点池用 `openai-pool` |
-| `--judge SPEC` | LLM-judge 模型 spec（hle / simple_qa / imo 等 judge 类 recipe 需要） |
+| `--judge NAME` + `--judge-api-url URL` | LLM-judge 模型（hle / simple_qa / imo 需要）；也可单给完整 spec `--judge openai/http://...?m` |
 | `--profile NAME` | 命名生成参数集（内置 `dp4-nothink`、`qwen3-es-parity`、`t1-short`，或任意 `@register_gen_profile` 名）；优先级：插件默认 < profile 默认 < profile 单 bench 覆盖 < 显式参数 |
 | `--disable-thinking` | 发送 `enable_thinking=false`（Qwen3 类思考模型推荐；带 tools 的请求自动退回模板安全的软开关） |
 | `--textools` | 工具以文本形式随 prompt 下发，而非原生 tool_calls |
@@ -157,7 +157,7 @@ evalharness viz show report.json --style errors            # 失败样本下钻
 | `openai/<base_url>?<model_id>` | 单端点（vLLM、SGLang、lmdeploy、ollama、云 API） |
 | `openai-pool/<base{8000..8007}/v1,...>?<model_id>` | 端点池：轮询 + 自适应并发 + failover |
 | `deploy:<engine>/<model>` | 经 Deployer 解析（钉版本的推理环境） |
-| `mock` / `mock:boxed` / `mock:fc` | 离线适配器（管线自检） |
+| `mock` / `mock-boxed` / `mock-fc` | 离线适配器（管线自检：回声 / 回放金标 / 回放工具调用） |
 | `!nothink` `!perf` `!textools` 后缀 | spec 内联开关（与 CLI 参数等价） |
 
 API key 按端点从环境变量读取（`OPENAI_API_KEY`、`ANTHROPIC_API_KEY` …）。
@@ -180,7 +180,7 @@ evalharness eval list     # 全部判分 recipe
 
 各族注意事项：
 
-- **LLM-judge 类**（`hle`、`simple_qa`、`imo_answerbench`）：传 `--judge <spec>`；judge 走官方协议
+- **LLM-judge 类**（`hle`、`simple_qa`、`imo_answerbench`）：传 `--judge <模型名> --judge-api-url <端点>`（与主模型同款分离参数风格）；judge 走官方协议
   （如 SimpleQA 的分级正确性 + NOT_ATTEMPTED 兜底）。
 - **代码执行类**：模型生成的代码在硬隔离 Docker 中运行（`--network none`、cgroup 上限、只读 rootfs）；
   swe 的逐实例 `sweb.eval.*` 镜像用 `evalharness sandbox prefetch swe_bench_verified` 预取。
diff --git a/evalharness/cli.py b/evalharness/cli.py
index 1374a45..a306740 100644
--- a/evalharness/cli.py
+++ b/evalharness/cli.py
@@ -228,6 +228,26 @@ def _compose_model_spec(args):
     return _model_with_flags(model, args)
 
 
+def _compose_judge_spec(args):
+    """--judge accepts a bare model name (with --judge-api-url) or a full
+    legacy spec; keep both working like the main model flags."""
+    judge = getattr(args, 'judge', '') or ''
+    url = getattr(args, 'judge_api_url', '') or ''
+    if url and judge and '/' not in judge:
+        judge = f'openai/{url.rstrip("/")}?{judge}'
+    return judge or None
+
+
+def _compose_judge_spec(args):
+    """--judge accepts a bare model name (with --judge-api-url) or a full
+    legacy spec; both keep working, mirroring the main model flags."""
+    judge = getattr(args, 'judge', '') or ''
+    url = getattr(args, 'judge_api_url', '') or ''
+    if url and judge and '/' not in judge:
+        judge = f'openai/{url.rstrip("/")}?{judge}'
+    return judge or None
+
+
 def _cmd_eval_run(args) -> int:
     import asyncio
     import time as _time
@@ -283,7 +303,7 @@ def _cmd_eval_run(args) -> int:
                     ds, model_spec, concurrency=args.concurrency, limit=args.limit,
                     limit_per_task=args.limit_per_task,
                     checkpoint=args.resume,
-                    judge_spec=args.judge, env=args.env,
+                    judge_spec=_compose_judge_spec(args), env=args.env,
                     gen_profile=getattr(args, 'profile', ''),
                     progress_reporter=progress_reporter,
                     status_callback=status_callback))
@@ -496,7 +516,10 @@ def build_parser() -> argparse.ArgumentParser:
     p.add_argument('--provider', default='openai-chat',
                    choices=('openai-chat', 'openai-pool'),
                    help='API protocol/provider (default: openai-chat)')
-    p.add_argument('--judge', default='', help='judge model spec for llm_judge recipes')
+    p.add_argument('--judge', default='',
+                   help='judge model name with --judge-api-url, or full spec')
+    p.add_argument('--judge-api-url', default='',
+                   help='judge API base URL when --judge is only the model name')
     p.add_argument('--profile', default='',
                    help='named gen-params profile (dp4-nothink | qwen3-es-parity | t1-short '
                         'or any @register_gen_profile name); layers: plugin default < '
diff --git a/evalharness/model/runner.py b/evalharness/model/runner.py
index 968369c..1fb04bf 100644
--- a/evalharness/model/runner.py
+++ b/evalharness/model/runner.py
@@ -12,6 +12,7 @@ raw strings to the sync evaluate().
 
 import asyncio
 import os
+import re
 import time
 from typing import Any, Dict, List, Optional, Union
 
@@ -743,9 +744,15 @@ def _make_adapter(spec: str) -> ModelAdapter:
             elif seg:
                 specs.append(f'openai/{seg}?{model}')
         adapter = pooled(specs)
-    elif spec.partition(':')[0] == 'mock' and ':' in spec and '/' not in spec.partition(':')[0]:
-        adapter = resolve_adapter('mock')
-        adapter.extra['mode'] = spec.partition(':')[2] or 'echo'
+    elif re.fullmatch(r'mock[-:](boxed|oracle|fc|tool|echo|const)?', spec):
+        # mock-boxed (preferred) == legacy mock:boxed; bare 'mock' == echo.
+        # NEVER reuse the cached singleton: resolve_adapter memoizes and a
+        # shared instance would leak this run's mode into the next one
+        mode = re.fullmatch(r'mock[-:]?(.*)', spec).group(1) or 'echo'
+        from .adapter import ADAPTER_REGISTRY
+
+        adapter = ADAPTER_REGISTRY.get('mock')(model='mock', api_base='')
+        adapter.extra['mode'] = mode
         return adapter
     else:
         adapter = resolve_adapter(spec)