diff --git a/pyproject.toml b/pyproject.toml
index e21c549..516c790 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -38,6 +38,7 @@ packtool    = "pyflowx.cli.packtool:main"
 pdftool     = "pyflowx.cli.pdftool:main"
 piptool     = "pyflowx.cli.piptool:main"
 pymake      = "pyflowx.cli.pymake:main"
+pxp         = "pyflowx.cli.profiler:main"
 reseticon   = "pyflowx.cli.reseticoncache:main"
 scrcap      = "pyflowx.cli.screenshot:main"
 sglang      = "pyflowx.cli.llm.sglang:main"
diff --git a/src/pyflowx/cli/profiler.py b/src/pyflowx/cli/profiler.py
new file mode 100644
index 0000000..53e4aeb
--- /dev/null
+++ b/src/pyflowx/cli/profiler.py
@@ -0,0 +1,272 @@
+"""pxp —— PyFlowX 性能分析器.
+
+分析包含 ``px`` 调用的 Python 脚本，生成工作流执行性能剖面报告。
+
+工作原理
+--------
+1. 注入 hook：monkey-patch ``pyflowx.run`` / ``pyflowx.executors.run`` /
+   ``pyflowx.runner.run``，捕获最后一次执行的 ``Graph`` 与 ``RunReport``。
+2. 执行目标脚本：用 ``runpy.run_path`` 以 ``__main__`` 身份执行，
+   捕获 ``SystemExit``（脚本可能调 ``sys.exit``）。
+3. 生成报告：从捕获的 report + graph 构建 :class:`ProfileReport`，
+   默认输出 HTML 并自动打开浏览器。
+
+使用方式
+--------
+    # 分析 pymake.py，生成 HTML 报告并打开浏览器
+    pxp pymake.py
+
+    # 传递参数给被分析脚本（用 -- 分隔）
+    pxp pymake.py -- t
+
+    # 指定输出文件
+    pxp pymake.py -o report.html
+
+    # 不打开浏览器
+    pxp pymake.py --no-browser
+
+    # 输出纯文本报告
+    pxp pymake.py -E text
+"""
+
+from __future__ import annotations
+
+__all__ = ["main"]
+
+import argparse
+import runpy
+import sys
+import webbrowser
+from pathlib import Path
+from typing import Any
+
+from .. import executors as _executors
+from .. import runner as _runner
+from ..profiling import ProfileReport
+from ..report import RunReport
+
+
+def _build_parser() -> argparse.ArgumentParser:
+    """构建参数解析器。"""
+    parser = argparse.ArgumentParser(
+        prog="pxp",
+        description="PyFlowX 性能分析器：分析包含 px 调用的脚本，生成性能剖面报告。",
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog=(
+            "示例:\n"
+            "  pxp pymake.py              # 分析并打开 HTML 报告\n"
+            "  pxp pymake.py -- t         # 传递参数 t 给脚本\n"
+            "  pxp pymake.py -E text      # 输出纯文本报告\n"
+            "  pxp pymake.py -o out.html  # 指定输出文件\n"
+        ),
+    )
+    _ = parser.add_argument(
+        "--export",
+        "-E",
+        choices=["html", "text"],
+        default="html",
+        help="导出格式（默认: html）",
+    )
+    _ = parser.add_argument(
+        "--no-browser",
+        action="store_true",
+        help="不自动打开浏览器（仅 HTML 格式有效）",
+    )
+    _ = parser.add_argument(
+        "-o",
+        "--output",
+        help="输出文件路径（默认: <script>_profile.html）",
+    )
+    return parser
+
+
+def _capture_px_run() -> dict[str, Any]:
+    """注入 hook 捕获 px.run() 调用。
+
+    返回一个字典，``run()`` 执行后填充 ``graph`` 与 ``report``。
+    同时返回还原函数用于 finally 块。
+
+    Note
+    -----
+    需同时 patch 三处引用：
+    * ``pyflowx.executors.run`` —— 实际实现
+    * ``pyflowx.runner.run`` —— ``CliRunner`` 直接 import 的引用
+    * ``pyflowx.run`` —— 顶层包导出的引用（用户脚本常用 ``px.run()``）
+
+    另外 patch ``RunReport.__init__`` 以捕获 ``run()`` 内部创建的 report 实例。
+    这对于 ``run()`` 抛出 ``TaskFailedError`` 的场景至关重要：此时 ``run()``
+    不会正常返回 report，但 report 对象已在内部创建并填充了已执行任务的结果。
+    通过 ``capture_enabled`` 标志确保只在 ``patched_run`` 调用期间捕获。
+    """
+    captured: dict[str, Any] = {}
+    original_exec_run = _executors.run
+    original_runner_run = _runner.run
+    # 惰性获取顶层 pyflowx.run 引用（避免循环导入）
+    import pyflowx as px_mod
+
+    original_px_run = px_mod.run
+    original_report_init = RunReport.__init__
+    capture_enabled = [False]
+
+    def patched_report_init(self: RunReport, *args: Any, **kwargs: Any) -> None:
+        original_report_init(self, *args, **kwargs)
+        if capture_enabled[0]:
+            captured["report"] = self
+
+    RunReport.__init__ = patched_report_init  # type: ignore[assignment]
+
+    def patched_run(graph: Any, *args: Any, **kwargs: Any) -> RunReport:
+        captured["graph"] = graph
+        capture_enabled[0] = True
+        try:
+            report = original_exec_run(graph, *args, **kwargs)
+            # 正常返回时确保 captured["report"] 是返回的 report
+            captured["report"] = report
+            return report
+        finally:
+            capture_enabled[0] = False
+
+    # patch 所有引用 run 的入口
+    _executors.run = patched_run  # type: ignore[assignment]
+    _runner.run = patched_run  # type: ignore[assignment]
+    px_mod.run = patched_run  # type: ignore[assignment]
+
+    def _restore() -> None:
+        _executors.run = original_exec_run  # type: ignore[assignment]
+        _runner.run = original_runner_run  # type: ignore[assignment]
+        px_mod.run = original_px_run  # type: ignore[assignment]
+        RunReport.__init__ = original_report_init  # type: ignore[assignment]
+
+    captured["_restore"] = _restore
+    return captured
+
+
+def _run_target_script(script: Path, script_args: list[str]) -> dict[str, Any]:
+    """执行目标脚本。
+
+    将脚本所在目录加入 ``sys.path``，设置 ``sys.argv``，然后用
+    ``runpy.run_path`` 以 ``__main__`` 身份执行。捕获 ``SystemExit``。
+
+    Returns
+    -------
+    dict[str, Any]
+        脚本模块的全局变量字典（含 ``main`` 等定义）。
+    """
+    sys.argv = [str(script), *script_args]
+    script_dir = str(script.parent.resolve())
+    if script_dir not in sys.path:
+        sys.path.insert(0, script_dir)
+    return runpy.run_path(str(script), run_name="__main__")
+
+
+def _try_call_main(module_globals: dict[str, Any]) -> None:
+    """若模块定义了 ``main`` 可调用对象，调用它。
+
+    用于脚本无 ``if __name__ == "__main__"`` 块的场景（如通过 entry points
+    注册的 CLI 工具脚本）。``main`` 通常调用 ``CliRunner.run_cli()``，
+    后者读取 ``sys.argv[1:]`` 执行对应命令。
+    """
+    main_fn = module_globals.get("main")
+    if callable(main_fn):
+        main_fn()
+
+
+def _output_report(
+    profile: ProfileReport,
+    export: str,
+    output: str | None,
+    script_stem: str,
+    no_browser: bool,
+) -> None:
+    """输出性能报告。"""
+    if export == "text":
+        print(profile.describe())
+        return
+
+    # HTML 格式
+    html = profile.to_html()
+    if output:
+        out_path = Path(output)
+    else:
+        out_path = Path.cwd() / f"{script_stem}_profile.html"
+    out_path.write_text(html, encoding="utf-8")
+    print(f"HTML 报告已生成: {out_path}")
+
+    if not no_browser:
+        try:
+            webbrowser.open(f"file://{out_path.resolve()}")
+        except Exception as e:
+            print(f"警告：无法打开浏览器: {e}", file=sys.stderr)
+
+
+def main() -> None:
+    """pxp CLI 入口。"""
+    parser = _build_parser()
+    pxp_args, remaining = parser.parse_known_args()
+
+    if not remaining:
+        parser.print_help()
+        sys.exit(2)
+
+    script_str = remaining[0]
+    script_args = remaining[1:]
+    script_path = Path(script_str).resolve()
+
+    if not script_path.is_file():
+        print(f"错误：脚本不存在: {script_path}", file=sys.stderr)
+        sys.exit(2)
+
+    # 注入 hook
+    captured = _capture_px_run()
+
+    # 执行目标脚本
+    print(f"正在分析: {script_path}")
+    if script_args:
+        print(f"脚本参数: {script_args}")
+    print("-" * 60)
+
+    module_globals: dict[str, Any] = {}
+    try:
+        module_globals = _run_target_script(script_path, script_args)
+    except SystemExit:
+        # 脚本调用了 sys.exit，正常情况
+        pass
+    except Exception as e:
+        print(f"警告：脚本执行抛出异常: {e}", file=sys.stderr)
+
+    # 若脚本执行未捕获到 run()，尝试调用模块的 main() 函数
+    # （适用于无 ``if __name__ == "__main__"`` 块的 CLI 脚本）
+    if captured.get("report") is None and module_globals:
+        try:
+            _try_call_main(module_globals)
+        except SystemExit:
+            pass
+        except Exception as e:
+            print(f"警告：调用 main() 抛出异常: {e}", file=sys.stderr)
+
+    # 还原 hook
+    restore = captured.pop("_restore", None)
+    if restore is not None:
+        restore()
+
+    # 检查是否捕获到 run() 调用
+    report = captured.get("report")
+    graph = captured.get("graph")
+    if report is None or graph is None:
+        print("错误：未捕获到 px.run() 调用，无法生成性能报告", file=sys.stderr)
+        print("请确保脚本通过 px.run() 或 CliRunner 执行任务流图。", file=sys.stderr)
+        sys.exit(1)
+
+    # 生成报告
+    profile = ProfileReport.from_report(report, graph)
+    _output_report(
+        profile,
+        export=pxp_args.export,
+        output=pxp_args.output,
+        script_stem=script_path.stem,
+        no_browser=pxp_args.no_browser,
+    )
+
+
+if __name__ == "__main__":
+    main()
diff --git a/src/pyflowx/profiling.py b/src/pyflowx/profiling.py
index bb6e551..a640d59 100644
--- a/src/pyflowx/profiling.py
+++ b/src/pyflowx/profiling.py
@@ -384,8 +384,15 @@ class ProfileReport:
             "bottlenecks": [t.to_dict() for t in self.top_bottlenecks(5)],
         }
 
+    def to_html(self) -> str:
+        """生成自包含的 HTML 报告（含 CSS，无外部依赖）。
+
+        报告含：图级指标卡片、关键路径、时间线甘特图、Top 瓶颈表格、
+        全部任务表格。适合直接用浏览器打开查看。
+        """
+        return _render_html(self)
+
     def describe(self) -> str:
-        """人类可读的多行性能报告。"""
         lines: list[str] = []
         lines.append("=" * 70)
         lines.append("PyFlowX 性能剖面报告")
@@ -449,3 +456,250 @@ class ProfileReport:
             f"avg_par={self.avg_parallelism:.2f}, "
             f"peak_par={self.peak_parallelism})"
         )
+
+
+# ---------------------------------------------------------------------- #
+# HTML 渲染（私有，零依赖）
+# ---------------------------------------------------------------------- #
+_HTML_TEMPLATE = """<!DOCTYPE html>
+<html lang="zh-CN">
+<head>
+<meta charset="utf-8">
+<meta name="viewport" content="width=device-width, initial-scale=1">
+<title>PyFlowX 性能剖面报告</title>
+<style>
+  :root {{
+    --bg: #f5f5f7;
+    --card: #ffffff;
+    --border: #d2d2d7;
+    --text: #1d1d1f;
+    --muted: #6e6e73;
+    --accent: #0071e3;
+    --success: #34c759;
+    --warning: #ff9f0a;
+    --danger: #ff3b30;
+    --critical: #af52de;
+  }}
+  * {{ box-sizing: border-box; }}
+  body {{
+    font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
+    margin: 0;
+    padding: 24px;
+    background: var(--bg);
+    color: var(--text);
+    line-height: 1.5;
+  }}
+  h1 {{ margin: 0 0 8px; font-size: 28px; }}
+  h2 {{ margin: 32px 0 12px; font-size: 20px; border-bottom: 1px solid var(--border); padding-bottom: 6px; }}
+  .subtitle {{ color: var(--muted); margin: 0 0 24px; font-size: 14px; }}
+  .cards {{ display: grid; grid-template-columns: repeat(auto-fit, minmax(180px, 1fr)); gap: 12px; margin-bottom: 8px; }}
+  .card {{
+    background: var(--card);
+    border: 1px solid var(--border);
+    border-radius: 10px;
+    padding: 16px;
+  }}
+  .card .label {{ font-size: 12px; color: var(--muted); margin-bottom: 4px; text-transform: uppercase; letter-spacing: 0.5px; }}
+  .card .value {{ font-size: 22px; font-weight: 600; }}
+  .card .unit {{ font-size: 13px; color: var(--muted); margin-left: 2px; }}
+  .critical-path {{
+    background: var(--card);
+    border: 1px solid var(--border);
+    border-left: 4px solid var(--critical);
+    border-radius: 10px;
+    padding: 16px;
+    margin-bottom: 8px;
+  }}
+  .critical-path .label {{ font-size: 12px; color: var(--muted); margin-bottom: 8px; text-transform: uppercase; letter-spacing: 0.5px; }}
+  .critical-path .chain {{ font-family: ui-monospace, "SF Mono", Menlo, monospace; font-size: 13px; word-break: break-all; }}
+  .critical-path .arrow {{ color: var(--critical); margin: 0 6px; font-weight: 600; }}
+  /* 甘特图 */
+  .gantt {{
+    background: var(--card);
+    border: 1px solid var(--border);
+    border-radius: 10px;
+    padding: 16px;
+    overflow-x: auto;
+  }}
+  .gantt-row {{ display: flex; align-items: center; margin-bottom: 6px; min-width: 600px; }}
+  .gantt-label {{ width: 200px; flex-shrink: 0; font-size: 13px; font-family: ui-monospace, monospace; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }}
+  .gantt-track {{ flex: 1; height: 22px; background: #f0f0f3; border-radius: 4px; position: relative; }}
+  .gantt-bar {{ position: absolute; height: 100%; border-radius: 4px; min-width: 2px; }}
+  .gantt-bar.success {{ background: var(--success); }}
+  .gantt-bar.failed {{ background: var(--danger); }}
+  .gantt-bar.skipped {{ background: var(--muted); }}
+  .gantt-bar.critical {{ box-shadow: 0 0 0 2px var(--critical) inset; }}
+  .gantt-bar:hover {{ opacity: 0.85; }}
+  .gantt-tooltip {{ position: absolute; bottom: 100%; left: 50%; transform: translateX(-50%); background: #1d1d1f; color: #fff; padding: 4px 8px; border-radius: 4px; font-size: 11px; white-space: nowrap; opacity: 0; pointer-events: none; transition: opacity 0.15s; }}
+  .gantt-bar:hover .gantt-tooltip {{ opacity: 1; }}
+  /* 表格 */
+  table {{ width: 100%; border-collapse: collapse; background: var(--card); border-radius: 10px; overflow: hidden; border: 1px solid var(--border); }}
+  th, td {{ padding: 10px 12px; text-align: left; font-size: 13px; }}
+  th {{ background: #fafafa; font-weight: 600; color: var(--muted); text-transform: uppercase; font-size: 11px; letter-spacing: 0.5px; }}
+  tbody tr {{ border-top: 1px solid var(--border); }}
+  tbody tr:hover {{ background: #fafafa; }}
+  td.num {{ font-family: ui-monospace, monospace; text-align: right; }}
+  .badge {{ display: inline-block; padding: 2px 8px; border-radius: 10px; font-size: 11px; font-weight: 500; }}
+  .badge.success {{ background: rgba(52,199,89,0.15); color: var(--success); }}
+  .badge.failed {{ background: rgba(255,59,48,0.15); color: var(--danger); }}
+  .badge.skipped {{ background: rgba(110,110,115,0.15); color: var(--muted); }}
+  .star {{ color: var(--critical); font-weight: 700; }}
+  .footer {{ margin-top: 32px; color: var(--muted); font-size: 12px; text-align: center; }}
+</style>
+</head>
+<body>
+  <h1>PyFlowX 性能剖面报告</h1>
+  <p class="subtitle">由 <code>pxp</code> 生成 · {generated_at}</p>
+
+  <h2>图级指标</h2>
+  <div class="cards">
+    <div class="card"><div class="label">总耗时</div><div class="value">{total_duration:.3f}<span class="unit">s</span></div></div>
+    <div class="card"><div class="label">关键路径耗时</div><div class="value">{critical_duration:.3f}<span class="unit">s</span></div></div>
+    <div class="card"><div class="label">平均并行度</div><div class="value">{avg_par:.2f}</div></div>
+    <div class="card"><div class="label">峰值并行度</div><div class="value">{peak_par}</div></div>
+    <div class="card"><div class="label">并行度效率</div><div class="value">{efficiency:.1f}<span class="unit">%</span></div></div>
+    <div class="card"><div class="label">任务总数</div><div class="value">{task_count}</div></div>
+  </div>
+
+  <h2>关键路径</h2>
+  <div class="critical-path">
+    <div class="label">最长依赖路径（串行瓶颈）</div>
+    <div class="chain">{critical_chain}</div>
+  </div>
+
+  <h2>任务时间线</h2>
+  <div class="gantt">
+    {gantt_rows}
+  </div>
+
+  <h2>Top 瓶颈任务</h2>
+  <table>
+    <thead><tr><th>任务</th><th class="num">耗时</th><th class="num">等待</th><th class="num">尝试</th><th>关键路径</th><th>状态</th></tr></thead>
+    <tbody>
+{bottleneck_rows}
+    </tbody>
+  </table>
+
+  <h2>全部任务</h2>
+  <table>
+    <thead><tr><th>任务</th><th class="num">耗时</th><th class="num">等待</th><th class="num">尝试</th><th>关键路径</th><th>状态</th><th>依赖</th></tr></thead>
+    <tbody>
+{all_task_rows}
+    </tbody>
+  </table>
+
+  <div class="footer">由 PyFlowX · pxp 生成</div>
+</body>
+</html>"""
+
+
+def _status_badge(status: TaskStatus) -> str:
+    """生成状态徽章 HTML。"""
+    cls = status.value
+    return f'<span class="badge {cls}">{cls}</span>'
+
+
+def _format_critical_chain(path: tuple[str, ...]) -> str:
+    """格式化关键路径为 HTML 链。"""
+    if not path:
+        return '<em style="color:var(--muted)">(无)</em>'
+    arrow = '<span class="arrow">→</span>'
+    return arrow.join(f"<strong>{name}</strong>" for name in path)
+
+
+def _render_gantt(profile: ProfileReport) -> str:
+    """渲染甘特图行 HTML。
+
+    每个任务一行：标签 + 时间条。时间条位置基于 wait_time + 依赖关系
+    重建相对开始时间（相对最早任务起点），归一化到 0-100% 宽度。
+    SKIPPED 任务不显示（无时间戳）。
+    """
+    visible = [t for t in profile.tasks if t.status != TaskStatus.SKIPPED and t.duration > 0]
+    if not visible:
+        return '<div style="color:var(--muted);padding:12px;">(无时间线数据)</div>'
+
+    # 重建相对开始时间：start[name] = max(end[dep]) + wait_time
+    # profile.tasks 已是拓扑序，可直接按序计算
+    start: dict[str, float] = {}
+    end: dict[str, float] = {}
+    for t in profile.tasks:
+        if t.status == TaskStatus.SKIPPED:
+            continue
+        dep_end = 0.0
+        for dep in t.deps:
+            dep_end = max(dep_end, end.get(dep, 0.0))
+        s = dep_end + t.wait_time
+        start[t.name] = s
+        end[t.name] = s + t.duration
+
+    # 归一化：以最早开始时间为 0，最晚结束为 100%
+    min_start = min(start.get(t.name, 0.0) for t in visible)
+    max_end = max(end.get(t.name, 0.0) for t in visible)
+    span = max_end - min_start
+    if span <= 0:
+        span = 1.0
+
+    rows: list[str] = []
+    for t in visible:
+        s = start.get(t.name, 0.0) - min_start
+        left_pct = (s / span) * 100
+        width_pct = (t.duration / span) * 100
+        cls = t.status.value
+        critical_cls = " critical" if t.is_on_critical_path else ""
+        tooltip = f"{t.name}: {t.duration:.3f}s @ +{s:.3f}s ({t.status.value})"
+        rows.append(
+            f'      <div class="gantt-row">'
+            f'<div class="gantt-label" title="{t.name}">{t.name}</div>'
+            f'<div class="gantt-track">'
+            f'<div class="gantt-bar {cls}{critical_cls}" style="left:{left_pct:.2f}%;width:{width_pct:.2f}%">'
+            f'<span class="gantt-tooltip">{tooltip}</span>'
+            f"</div></div></div>"
+        )
+    return "\n".join(rows)
+
+
+def _render_task_row(t: TaskProfile, show_deps: bool = False) -> str:
+    """渲染任务表格行 HTML。"""
+    star = '<span class="star">★</span>' if t.is_on_critical_path else ""
+    deps = ", ".join(t.deps) if show_deps and t.deps else ""
+    deps_cell = f"<td>{deps}</td>" if show_deps else ""
+    return (
+        f"      <tr>"
+        f"<td><code>{t.name}</code></td>"
+        f'<td class="num">{t.duration:.3f}s</td>'
+        f'<td class="num">{t.wait_time:.3f}s</td>'
+        f'<td class="num">{t.attempts}</td>'
+        f"<td>{star}</td>"
+        f"<td>{_status_badge(t.status)}</td>"
+        f"{deps_cell}"
+        f"</tr>"
+    )
+
+
+def _render_html(profile: ProfileReport) -> str:
+    """渲染完整 HTML 报告。"""
+    from datetime import datetime as _dt
+
+    bottlenecks = profile.top_bottlenecks(5)
+    bottleneck_rows = (
+        "\n".join(_render_task_row(t) for t in bottlenecks)
+        or '      <tr><td colspan="6" style="color:var(--muted);">(无)</td></tr>'
+    )
+    all_task_rows = (
+        "\n".join(_render_task_row(t, show_deps=True) for t in profile.tasks)
+        or '      <tr><td colspan="7" style="color:var(--muted);">(无)</td></tr>'
+    )
+
+    return _HTML_TEMPLATE.format(
+        generated_at=_dt.now().strftime("%Y-%m-%d %H:%M:%S"),
+        total_duration=profile.total_duration,
+        critical_duration=profile.critical_path_duration,
+        avg_par=profile.avg_parallelism,
+        peak_par=profile.peak_parallelism,
+        efficiency=profile.parallelism_efficiency * 100,
+        task_count=len(profile.tasks),
+        critical_chain=_format_critical_chain(profile.critical_path),
+        gantt_rows=_render_gantt(profile),
+        bottleneck_rows=bottleneck_rows,
+        all_task_rows=all_task_rows,
+    )
diff --git a/tests/cli/test_profiler.py b/tests/cli/test_profiler.py
new file mode 100644
index 0000000..2d1af58
--- /dev/null
+++ b/tests/cli/test_profiler.py
@@ -0,0 +1,545 @@
+"""pxp 性能分析器测试.
+
+覆盖策略：
+* HTML 渲染：to_html() 输出结构正确，含关键章节。
+* pxp CLI：参数解析、脚本执行、报告生成、浏览器调用、错误处理。
+* hook 注入：捕获 px.run() 调用，还原原始函数。
+"""
+
+from __future__ import annotations
+
+import sys
+from datetime import datetime, timedelta
+from pathlib import Path
+from typing import Any
+
+import pytest
+
+import pyflowx as px
+from pyflowx.cli import profiler
+from pyflowx.profiling import ProfileReport
+from pyflowx.report import RunReport
+from pyflowx.task import TaskResult, TaskSpec, TaskStatus
+
+
+def _fn() -> int:
+    return 1
+
+
+def _spec(name: str, deps: tuple[str, ...] = ()) -> TaskSpec[Any]:
+    return TaskSpec[Any](name, _fn, depends_on=deps)
+
+
+def _result(
+    name: str,
+    start: datetime,
+    duration: float,
+    *,
+    status: TaskStatus = TaskStatus.SUCCESS,
+    attempts: int = 1,
+) -> TaskResult[Any]:
+    """构造带时间戳的 TaskResult."""
+    end = start + timedelta(seconds=duration) if duration > 0 else start
+    return TaskResult[Any](
+        spec=_spec(name),
+        status=status,
+        value=None,
+        attempts=attempts,
+        started_at=start if duration > 0 or status != TaskStatus.SKIPPED else None,
+        finished_at=end if duration > 0 or status != TaskStatus.SKIPPED else None,
+    )
+
+
+def _build_simple_profile() -> ProfileReport:
+    """构造一个简单的 ProfileReport 用于测试 HTML 输出."""
+    start = datetime(2024, 1, 1, 0, 0, 0)
+    report = px.RunReport()
+    report.results["a"] = _result("a", start, 1.0)
+    report.results["b"] = _result("b", start + timedelta(seconds=1), 2.0)
+    graph = px.Graph.from_specs([
+        _spec("a"),
+        _spec("b", deps=("a",)),
+    ])
+    return ProfileReport.from_report(report, graph)
+
+
+class TestToHtml:
+    """测试 ProfileReport.to_html()."""
+
+    def test_to_html_contains_key_sections(self) -> None:
+        """HTML 应包含所有关键章节标题。"""
+        profile = _build_simple_profile()
+        html = profile.to_html()
+
+        assert "<!DOCTYPE html>" in html
+        assert "PyFlowX 性能剖面报告" in html
+        assert "图级指标" in html
+        assert "关键路径" in html
+        assert "任务时间线" in html
+        assert "Top 瓶颈任务" in html
+        assert "全部任务" in html
+
+    def test_to_html_contains_metrics(self) -> None:
+        """HTML 应包含图级指标数值。"""
+        profile = _build_simple_profile()
+        html = profile.to_html()
+
+        # 总耗时 3.0s (a=1 + b=2)
+        assert "3.000" in html
+        # 任务名
+        assert "a" in html
+        assert "b" in html
+
+    def test_to_html_contains_critical_path(self) -> None:
+        """HTML 应包含关键路径任务链。"""
+        profile = _build_simple_profile()
+        html = profile.to_html()
+
+        # 关键路径是 a -> b
+        assert "<strong>a</strong>" in html
+        assert "<strong>b</strong>" in html
+
+    def test_to_html_contains_gantt_bars(self) -> None:
+        """HTML 应包含甘特图条。"""
+        profile = _build_simple_profile()
+        html = profile.to_html()
+
+        assert "gantt-row" in html
+        assert "gantt-bar" in html
+        # 每个非 SKIPPED 任务一个条
+        assert html.count("gantt-bar") >= 2
+
+    def test_to_html_empty_profile(self) -> None:
+        """空报告的 HTML 应不崩溃。"""
+        report = px.RunReport()
+        graph = px.Graph()
+        profile = ProfileReport.from_report(report, graph)
+        html = profile.to_html()
+
+        assert "PyFlowX 性能剖面报告" in html
+        assert "(无)" in html
+
+    def test_to_html_with_failed_task(self) -> None:
+        """含 FAILED 任务的 HTML 应包含失败状态徽章。"""
+        start = datetime(2024, 1, 1, 0, 0, 0)
+        report = px.RunReport()
+        report.results["a"] = _result("a", start, 1.0, status=TaskStatus.FAILED)
+        graph = px.Graph.from_specs([_spec("a")])
+
+        profile = ProfileReport.from_report(report, graph)
+        html = profile.to_html()
+
+        assert "failed" in html
+        assert "badge" in html
+
+    def test_to_html_with_skipped_task(self) -> None:
+        """含 SKIPPED 任务的 HTML 不应在甘特图中显示该任务。"""
+        start = datetime(2024, 1, 1, 0, 0, 0)
+        report = px.RunReport()
+        report.results["a"] = _result("a", start, 1.0)
+        report.results["b"] = TaskResult[Any](
+            spec=_spec("b"),
+            status=TaskStatus.SKIPPED,
+            reason="skip",
+        )
+        graph = px.Graph.from_specs([_spec("a"), _spec("b")])
+
+        profile = ProfileReport.from_report(report, graph)
+        html = profile.to_html()
+
+        # SKIPPED 任务的徽章应出现
+        assert "skipped" in html
+
+    def test_to_html_self_contained(self) -> None:
+        """HTML 应自包含（无外部依赖）。"""
+        profile = _build_simple_profile()
+        html = profile.to_html()
+
+        # 不引用外部资源
+        assert "<link" not in html
+        assert "<script src" not in html
+
+
+class TestProfilerArgumentParsing:
+    """测试 pxp CLI 参数解析。"""
+
+    def test_default_export_is_html(self) -> None:
+        """默认导出格式为 html。"""
+        parser = profiler._build_parser()
+        args, remaining = parser.parse_known_args(["pymake.py"])
+        assert args.export == "html"
+        assert args.no_browser is False
+        assert args.output is None
+        assert remaining == ["pymake.py"]
+
+    def test_export_text(self) -> None:
+        """-E text 应设置导出格式为 text。"""
+        parser = profiler._build_parser()
+        args, _ = parser.parse_known_args(["-E", "text", "pymake.py"])
+        assert args.export == "text"
+
+    def test_no_browser_flag(self) -> None:
+        """--no-browser 应设置标志。"""
+        parser = profiler._build_parser()
+        args, _ = parser.parse_known_args(["--no-browser", "pymake.py"])
+        assert args.no_browser is True
+
+    def test_output_option(self) -> None:
+        """-o 应设置输出路径。"""
+        parser = profiler._build_parser()
+        args, _ = parser.parse_known_args(["-o", "report.html", "pymake.py"])
+        assert args.output == "report.html"
+
+    def test_script_args_separated(self) -> None:
+        """脚本参数应通过 remaining 分离。"""
+        parser = profiler._build_parser()
+        _, remaining = parser.parse_known_args(["pymake.py", "t", "--quiet"])
+        assert remaining == ["pymake.py", "t", "--quiet"]
+
+    def test_no_args_prints_help(
+        self,
+        capsys: pytest.CaptureFixture[str],
+        monkeypatch: pytest.MonkeyPatch,
+    ) -> None:
+        """无参数应打印帮助并以退出码 2 退出。"""
+        monkeypatch.setattr(sys, "argv", ["pxp"])
+        with pytest.raises(SystemExit) as exc_info:
+            profiler.main()
+        assert exc_info.value.code == 2
+        captured = capsys.readouterr()
+        assert "usage" in captured.out.lower() or "usage" in captured.err.lower()
+
+
+class TestCapturePxRun:
+    """测试 _capture_px_run hook 注入。"""
+
+    def test_capture_captures_run_call(self) -> None:
+        """hook 应捕获 px.run() 调用的 graph 和 report。"""
+        captured = profiler._capture_px_run()
+        try:
+            graph = px.Graph.from_specs([px.TaskSpec("a", lambda: 1)])
+            px.run(graph, strategy="sequential")
+            assert "graph" in captured
+            assert "report" in captured
+            assert captured["graph"] is graph
+        finally:
+            captured["_restore"]()
+
+    def test_capture_restores_original(self) -> None:
+        """还原后 px.run 和 RunReport.__init__ 应恢复为原函数。"""
+        original_run = px.run
+        original_init = RunReport.__init__
+        captured = profiler._capture_px_run()
+        # 注入期间 px.run 和 RunReport.__init__ 已被替换
+        assert px.run is not original_run
+        assert RunReport.__init__ is not original_init
+        captured["_restore"]()
+        # 还原后恢复
+        assert px.run is original_run
+        assert RunReport.__init__ is original_init
+
+    def test_capture_via_runner_run(self) -> None:
+        """hook 应捕获通过 CliRunner 执行的 run() 调用。"""
+        from pyflowx import runner as runner_mod
+
+        captured = profiler._capture_px_run()
+        try:
+            # 验证 runner.run 也被 patch（指向 patched_run）
+            assert runner_mod.run is px.executors.run
+            graph = px.Graph.from_specs([px.TaskSpec("a", lambda: 1)])
+            runner_mod.run(graph, strategy="sequential")
+            assert "report" in captured
+        finally:
+            captured["_restore"]()
+
+    def test_capture_captures_report_on_failure(self) -> None:
+        """run() 抛出 TaskFailedError 时仍应捕获 report 实例。"""
+        from pyflowx.executors import TaskFailedError
+
+        def failing() -> None:
+            raise RuntimeError("boom")
+
+        graph = px.Graph.from_specs([px.TaskSpec("a", failing)])
+        captured = profiler._capture_px_run()
+        try:
+            with pytest.raises(TaskFailedError):
+                px.run(graph, strategy="sequential")
+            # 即使 run() 抛异常，report 也应被捕获（含已执行任务的结果）
+            assert "report" in captured
+            assert "graph" in captured
+            assert captured["graph"] is graph
+        finally:
+            captured["_restore"]()
+
+
+class TestRunTargetScript:
+    """测试 _run_target_script。"""
+
+    def test_run_simple_script(self, tmp_path: Path) -> None:
+        """应能执行简单脚本并返回模块字典。"""
+        script = tmp_path / "simple.py"
+        script.write_text("x = 42\n", encoding="utf-8")
+
+        result = profiler._run_target_script(script, [])
+        assert result["x"] == 42
+
+    def test_run_script_with_sys_exit(self, tmp_path: Path) -> None:
+        """脚本调用 sys.exit 应抛 SystemExit。"""
+        script = tmp_path / "exit.py"
+        script.write_text("import sys; sys.exit(0)\n", encoding="utf-8")
+
+        with pytest.raises(SystemExit):
+            profiler._run_target_script(script, [])
+
+    def test_run_script_sets_argv(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+        """应正确设置 sys.argv。"""
+        script = tmp_path / "argv.py"
+        script.write_text(
+            "import sys\nassert sys.argv[0] == __file__\nassert sys.argv[1:] == ['arg1', 'arg2']\n",
+            encoding="utf-8",
+        )
+        profiler._run_target_script(script, ["arg1", "arg2"])
+
+    def test_run_script_adds_dir_to_path(self, tmp_path: Path) -> None:
+        """脚本所在目录应加入 sys.path。"""
+        script = tmp_path / "pathcheck.py"
+        script.write_text(
+            "import sys, os\nassert os.path.dirname(__file__) in sys.path\n",
+            encoding="utf-8",
+        )
+        profiler._run_target_script(script, [])
+
+
+class TestOutputReport:
+    """测试 _output_report。"""
+
+    def test_output_text_format(
+        self,
+        capsys: pytest.CaptureFixture[str],
+    ) -> None:
+        """text 格式应打印 describe() 到 stdout。"""
+        profile = _build_simple_profile()
+        profiler._output_report(profile, export="text", output=None, script_stem="test", no_browser=True)
+        captured = capsys.readouterr()
+        assert "PyFlowX 性能剖面报告" in captured.out
+        assert "图级指标" in captured.out
+
+    def test_output_html_default_filename(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+        """HTML 默认输出到 <script>_profile.html。"""
+        monkeypatch.chdir(tmp_path)
+        profile = _build_simple_profile()
+        profiler._output_report(profile, export="html", output=None, script_stem="mymake", no_browser=True)
+
+        out_file = tmp_path / "mymake_profile.html"
+        assert out_file.exists()
+        content = out_file.read_text(encoding="utf-8")
+        assert "PyFlowX 性能剖面报告" in content
+
+    def test_output_html_custom_path(self, tmp_path: Path) -> None:
+        """HTML 应写入指定路径。"""
+        out_file = tmp_path / "custom.html"
+        profile = _build_simple_profile()
+        profiler._output_report(profile, export="html", output=str(out_file), script_stem="test", no_browser=True)
+        assert out_file.exists()
+        assert "PyFlowX" in out_file.read_text(encoding="utf-8")
+
+    def test_output_html_opens_browser(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+        """no_browser=False 应调用 webbrowser.open。"""
+        monkeypatch.chdir(tmp_path)
+        opened: list[str] = []
+        monkeypatch.setattr(profiler.webbrowser, "open", opened.append)
+
+        profile = _build_simple_profile()
+        profiler._output_report(profile, export="html", output=None, script_stem="test", no_browser=False)
+
+        assert len(opened) == 1
+        assert opened[0].startswith("file://")
+
+    def test_output_html_no_browser_flag(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+        """no_browser=True 不应调用 webbrowser.open。"""
+        monkeypatch.chdir(tmp_path)
+        opened: list[str] = []
+        monkeypatch.setattr(profiler.webbrowser, "open", opened.append)
+
+        profile = _build_simple_profile()
+        profiler._output_report(profile, export="html", output=None, script_stem="test", no_browser=True)
+
+        assert len(opened) == 0
+
+
+class TestProfilerMainIntegration:
+    """main() 集成测试。"""
+
+    def test_main_analyses_script_with_px_run(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+        """main() 应分析含 px.run() 的脚本并生成 HTML。"""
+        script = tmp_path / "mytool.py"
+        script.write_text(
+            "import pyflowx as px\n"
+            "graph = px.Graph.from_specs([\n"
+            "    px.TaskSpec('a', lambda: 1),\n"
+            "    px.TaskSpec('b', lambda: 2, depends_on=('a',)),\n"
+            "])\n"
+            "px.run(graph, strategy='sequential')\n",
+            encoding="utf-8",
+        )
+        out_file = tmp_path / "report.html"
+        monkeypatch.setattr(sys, "argv", ["pxp", "--no-browser", "-o", str(out_file), str(script)])
+
+        profiler.main()
+
+        assert out_file.exists()
+        content = out_file.read_text(encoding="utf-8")
+        assert "PyFlowX 性能剖面报告" in content
+        assert "任务时间线" in content
+
+    def test_main_analyses_script_with_clirunner(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+        """main() 应分析含 CliRunner 的脚本。"""
+        script = tmp_path / "clirunner_tool.py"
+        script.write_text(
+            "import pyflowx as px\n"
+            "runner = px.CliRunner(\n"
+            "    aliases={'t': px.TaskSpec('t', lambda: 1)},\n"
+            ")\n"
+            "runner.run_cli(['t'])\n",
+            encoding="utf-8",
+        )
+        out_file = tmp_path / "report.html"
+        monkeypatch.setattr(sys, "argv", ["pxp", "--no-browser", "-o", str(out_file), str(script)])
+
+        profiler.main()
+
+        assert out_file.exists()
+        content = out_file.read_text(encoding="utf-8")
+        assert "PyFlowX 性能剖面报告" in content
+
+    def test_main_text_export(
+        self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
+    ) -> None:
+        """main() -E text 应输出文本到 stdout。"""
+        script = tmp_path / "simple.py"
+        script.write_text(
+            "import pyflowx as px\n"
+            "graph = px.Graph.from_specs([px.TaskSpec('a', lambda: 1)])\n"
+            "px.run(graph, strategy='sequential')\n",
+            encoding="utf-8",
+        )
+        monkeypatch.setattr(sys, "argv", ["pxp", "-E", "text", "--no-browser", str(script)])
+
+        profiler.main()
+        captured = capsys.readouterr()
+        assert "PyFlowX 性能剖面报告" in captured.out
+
+    def test_main_script_not_exist(
+        self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]
+    ) -> None:
+        """脚本不存在应以退出码 2 退出。"""
+        monkeypatch.setattr(sys, "argv", ["pxp", "--no-browser", str(tmp_path / "nonexistent.py")])
+        with pytest.raises(SystemExit) as exc_info:
+            profiler.main()
+        assert exc_info.value.code == 2
+
+    def test_main_no_px_run_captured(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+        """脚本未调用 px.run() 应以退出码 1 退出。"""
+        script = tmp_path / "no_run.py"
+        script.write_text("print('just printing')\n", encoding="utf-8")
+        monkeypatch.setattr(sys, "argv", ["pxp", "--no-browser", str(script)])
+        with pytest.raises(SystemExit) as exc_info:
+            profiler.main()
+        assert exc_info.value.code == 1
+
+    def test_main_passes_script_args(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+        """应将脚本参数传递给目标脚本。"""
+        script = tmp_path / "argcheck.py"
+        script.write_text(
+            "import sys\n"
+            "assert sys.argv[1:] == ['myarg'], f'got {sys.argv[1:]}'\n"
+            "import pyflowx as px\n"
+            "px.run(px.Graph.from_specs([px.TaskSpec('a', lambda: 1)]), strategy='sequential')\n",
+            encoding="utf-8",
+        )
+        out_file = tmp_path / "report.html"
+        monkeypatch.setattr(sys, "argv", ["pxp", "--no-browser", "-o", str(out_file), str(script), "myarg"])
+
+        profiler.main()  # 不抛异常即成功
+
+    def test_main_handles_script_exception(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+        """脚本抛异常时应捕获并继续生成报告（如果有 report）。"""
+        script = tmp_path / "raise.py"
+        script.write_text(
+            "import pyflowx as px\n"
+            "px.run(px.Graph.from_specs([px.TaskSpec('a', lambda: 1)]), strategy='sequential')\n"
+            "raise RuntimeError('after run')\n",
+            encoding="utf-8",
+        )
+        out_file = tmp_path / "report.html"
+        monkeypatch.setattr(sys, "argv", ["pxp", "--no-browser", "-o", str(out_file), str(script)])
+
+        profiler.main()  # 不抛异常即成功
+        assert out_file.exists()
+
+    def test_main_auto_calls_main_when_no_main_block(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+        """脚本无 __main__ 块但定义了 main() 时应自动调用。"""
+        script = tmp_path / "no_main_block.py"
+        script.write_text(
+            "import pyflowx as px\n"
+            "def main():\n"
+            "    px.run(px.Graph.from_specs([px.TaskSpec('a', lambda: 1)]), strategy='sequential')\n"
+            "# 无 if __name__ == '__main__' 块\n",
+            encoding="utf-8",
+        )
+        out_file = tmp_path / "report.html"
+        monkeypatch.setattr(sys, "argv", ["pxp", "--no-browser", "-o", str(out_file), str(script)])
+
+        profiler.main()
+        assert out_file.exists()
+
+    def test_main_auto_calls_main_with_clirunner(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+        """脚本无 __main__ 块但定义了调用 CliRunner 的 main() 时应自动调用。"""
+        script = tmp_path / "cli_tool.py"
+        script.write_text(
+            "import pyflowx as px\n"
+            "def main():\n"
+            "    runner = px.CliRunner(\n"
+            "        aliases={'t': px.TaskSpec('t', lambda: 1)},\n"
+            "    )\n"
+            "    runner.run_cli(['t'])\n",
+            encoding="utf-8",
+        )
+        out_file = tmp_path / "report.html"
+        monkeypatch.setattr(sys, "argv", ["pxp", "--no-browser", "-o", str(out_file), str(script), "t"])
+
+        profiler.main()
+        assert out_file.exists()
+        content = out_file.read_text(encoding="utf-8")
+        assert "PyFlowX 性能剖面报告" in content
+
+    def test_main_no_main_function_exits_with_1(self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None:
+        """脚本无 main() 且未调用 px.run() 应以退出码 1 退出。"""
+        script = tmp_path / "no_main.py"
+        script.write_text("x = 1\n", encoding="utf-8")
+        monkeypatch.setattr(sys, "argv", ["pxp", "--no-browser", str(script)])
+        with pytest.raises(SystemExit) as exc_info:
+            profiler.main()
+        assert exc_info.value.code == 1
+
+
+class TestTryCallMain:
+    """测试 _try_call_main。"""
+
+    def test_calls_main_when_present(self) -> None:
+        """模块字典含 main 可调用对象时应调用它。"""
+        called: list[bool] = []
+
+        def fake_main() -> None:
+            called.append(True)
+
+        profiler._try_call_main({"main": fake_main})
+        assert called == [True]
+
+    def test_no_main_does_nothing(self) -> None:
+        """模块字典不含 main 时不应报错。"""
+        profiler._try_call_main({})  # 不抛异常即成功
+
+    def test_non_callable_main_does_nothing(self) -> None:
+        """main 不是可调用对象时不应报错。"""
+        profiler._try_call_main({"main": "not a function"})  # 不抛异常即成功
diff --git a/uv.lock b/uv.lock
index 5984a76..793fe91 100644
--- a/uv.lock
+++ b/uv.lock
@@ -5603,7 +5603,7 @@ pycountry = [
 
 [[package]]
 name = "pyflowx"
-version = "0.2.11"
+version = "0.2.12"
 source = { editable = "." }
 dependencies = [
     { name = "graphlib-backport", marker = "python_full_version < '3.9'" },