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diff --git a/scripts/analyze-p75.py b/scripts/analyze-p75.py
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+#!/usr/bin/env python3
+"""P75（HUD 顶部条：去整宽深色带，改紧凑半透明药丸）证据分析：真实昼/夜同机位帧。
+
+判据（读真实实跑日志 + 顶部条像素统计）：
+  1. 日志含 `p43-shot=p43-hud-day` 与 `p43-shot=p43-hud-night`（同机位，12:00 / 23:30）。
+  2. 顶部条区域（y<barHeight=36 全宽）近黑像素（RGB 均 <=40）占比 < 10%，
+     相对「整宽深色带」基线（占比 100%）下降 > 90%。
+  3. 顶部条内无 >=24x24 近黑块。
+  4. 文字可读：顶部条内亮像素（RGB 均 >=200）数量 > 300（标签/数值/图标仍在）。
+  5. 昼/夜两帧 pixel diff > 0。
+  6. 观感是否精美由 Hermes vision 侧复核，非本脚本判据。
+
+Usage: python3 scripts/analyze-p75.py <record-dir> <out-txt>
+Exit 0 pass / 1 fail / 2 usage.
+"""
+
+import re
+import sys
+from pathlib import Path
+
+import numpy as np
+from PIL import Image
+
+SHOT_RE = re.compile(r"^p43-shot=(p43-hud-(?:day|night))\S* tick=(\d+) calendar=(\S+)", re.MULTILINE)
+BAR_HEIGHT = 36
+DARK_MAX = 40
+DARK_FRAC_MAX = 0.10
+BLOCK_SIDE = 24
+BRIGHT_MIN = 200
+BRIGHT_MIN_COUNT = 300
+FRAMES = ["p43-hud-day", "p43-hud-night"]
+
+
+def max_block(mask, side):
+    h, w = mask.shape
+    if h < side or w < side:
+        return 0
+    integral = np.zeros((h + 1, w + 1), dtype=np.int64)
+    integral[1:, 1:] = mask.astype(np.int64).cumsum(axis=0).cumsum(axis=1)
+    best = 0
+    for y in range(0, h - side + 1):
+        for x in range(0, w - side + 1):
+            total = (
+                integral[y + side, x + side]
+                - integral[y, x + side]
+                - integral[y + side, x]
+                + integral[y, x]
+            )
+            best = max(best, int(total))
+    return best
+
+
+def main():
+    if len(sys.argv) != 3:
+        print(__doc__)
+        return 2
+    rec = Path(sys.argv[1])
+    out = Path(sys.argv[2])
+    log = (rec / "log.txt").read_text(encoding="utf-8", errors="replace")
+    failures = []
+    lines = [
+        "P75（HUD 顶部条去整宽深色带 → 紧凑半透明药丸）证据分析 — 真实 Desktop xvfb 1280x720",
+        "钩子：LV_P43_SHOT=1（同机位昼 12:00 / 夜 23:30）",
+        "判据：顶部条 y<36 近黑占比 vs 整宽深色带基线（100%）下降 >90%，文字亮像素仍在",
+        "",
+    ]
+
+    shots = {m.group(1): m.group(0) for m in SHOT_RE.finditer(log)}
+    for name in FRAMES:
+        if name not in shots:
+            failures.append(f"log missing p43-shot={name}")
+        else:
+            lines.append("log: " + shots[name])
+    lines.append("")
+
+    baseline_px = 1280 * BAR_HEIGHT
+    stats = {}
+    for name in FRAMES:
+        path = rec / f"{name}.png"
+        if not path.exists():
+            failures.append(f"missing frame {path.name}")
+            continue
+        rgb = np.asarray(Image.open(path).convert("RGB"), dtype=np.int16)
+        h, w = rgb.shape[0], rgb.shape[1]
+        strip = rgb[0:BAR_HEIGHT, :, :]
+        dark_mask = (strip[:, :, 0] <= DARK_MAX) & (strip[:, :, 1] <= DARK_MAX) & (strip[:, :, 2] <= DARK_MAX)
+        dark_px = int(dark_mask.sum())
+        strip_px = strip.shape[0] * strip.shape[1]
+        dark_frac = dark_px / strip_px
+        drop = 1.0 - dark_frac
+        block = max_block(dark_mask, BLOCK_SIDE)
+        bright = int(((strip[:, :, 0] >= BRIGHT_MIN) & (strip[:, :, 1] >= BRIGHT_MIN) & (strip[:, :, 2] >= BRIGHT_MIN)).sum())
+        stats[name] = {"dark_frac": dark_frac, "bright": bright}
+        lines.append(
+            f"{name}.png: size={w}x{h} strip_dark_px={dark_px}/{strip_px} dark_frac={dark_frac:.3f} drop_vs_full_band={drop*100:.1f}% dark_block_{BLOCK_SIDE}={block} bright_px={bright}"
+        )
+        if (w, h) != (1280, 720):
+            failures.append(f"{path.name} size {w}x{h} != 1280x720")
+        if dark_frac >= DARK_FRAC_MAX:
+            failures.append(f"{name} strip dark_frac {dark_frac:.3f} >= {DARK_FRAC_MAX}")
+        if drop <= 0.90:
+            failures.append(f"{name} dark-area drop {drop*100:.1f}% <= 90%")
+        if block >= BLOCK_SIDE * BLOCK_SIDE:
+            failures.append(f"{name} has a solid {BLOCK_SIDE}x{BLOCK_SIDE} near-black block in strip")
+        if bright < BRIGHT_MIN_COUNT:
+            failures.append(f"{name} strip bright_px {bright} < {BRIGHT_MIN_COUNT} (text/icons may be unreadable)")
+    lines.append("")
+
+    have = [n for n in FRAMES if n in stats]
+    if len(have) == 2:
+        a = np.asarray(Image.open(rec / f"{have[0]}.png").convert("RGB"), dtype=np.int16)
+        b = np.asarray(Image.open(rec / f"{have[1]}.png").convert("RGB"), dtype=np.int16)
+        differing = int((np.abs(a - b).sum(axis=2) > 0).sum())
+        lines.append(f"diff {have[0]} vs {have[1]}: differing_pixels={differing}")
+        if differing == 0:
+            failures.append("day and night frames are identical")
+
+    lines.append("")
+    if failures:
+        lines.append("verdict=FAIL")
+        for f in failures:
+            lines.append("  - " + f)
+    else:
+        lines.append("verdict=PASS")
+        lines.append(f"  baseline full-width dark band = {baseline_px} px (frac 1.000).")
+        lines.append("  both strips are mostly scene/pill, no near-black block, and text/icons remain bright.")
+    out.parent.mkdir(parents=True, exist_ok=True)
+    out.write_text("\n".join(lines) + "\n", encoding="utf-8")
+    print(f"wrote {out} verdict={'FAIL' if failures else 'PASS'}")
+    return 1 if failures else 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())