Add anti-AI style guard for fractovision

Author: jklthinking

package.json

@@ -5,8 +5,9 @@
   "scripts": {
     "setup": "python3 scripts/setup.py",
     "doctor": "python3 scripts/doctor.py",
+    "style-guard": "python3 scripts/anti_ai_style_guard.py",
     "smoke": "python3 scripts/smoke.py",
-    "check:syntax": "python3 -m py_compile scripts/setup.py scripts/doctor.py scripts/smoke.py",
+    "check:syntax": "python3 -m py_compile scripts/setup.py scripts/doctor.py scripts/smoke.py scripts/anti_ai_style_guard.py",
     "test": "python3 -m pytest tests/test_one_click_open_box.py -q"
   }
 }

scripts/anti_ai_style_guard.py

@@ -0,0 +1,83 @@
+#!/usr/bin/env python3
+"""Anti-AI style/static quality guard for Fractovision.
+
+Focus: artifact naming/style risk, overly synthetic language markers,
+and aggressive visual/branding defaults that often indicate template-heavy slop.
+"""
+from __future__ import annotations
+
+import re
+from pathlib import Path
+from typing import Any, Dict
+
+ROOT = Path(__file__).resolve().parents[1]
+
+RULES = [
+    {
+        "name": "文本 emoji 过密（可能偏机器默认语体）",
+        "pattern": re.compile(r"[\U0001F300-\U0001FAFF\u2600-\u27BF]"),
+        "limit": 30,
+    },
+    {
+        "name": "过多动效/幻觉模板符号（CSS/JS 滥用迹象）",
+        "pattern": re.compile(r"linear-gradient\(|radial-gradient\(|box-shadow|filter:\s*blur\(|backdrop-filter", re.IGNORECASE),
+        "limit": 40,
+    },
+    {
+        "name": "过量全大写词（口号化倾向）",
+        "pattern": re.compile(r"\b[A-Z]{5,}\b"),
+        "limit": 26,
+    },
+]
+
+TARGET_EXTENSIONS = {".md", ".txt", ".py", ".json", ".yml", ".yaml", ".js", ".ts", ".tsx", ".css", ".html", ".mdx"}
+
+
+
+def collect_style_guard_report(root: Path | None = None) -> Dict[str, Any]:
+    root = root or ROOT
+    checks = []
+
+    for rule in RULES:
+        total = 0
+        samples = []
+        for p in root.rglob('*'):
+            if not p.is_file() or '.git' in p.parts or p.name == 'anti_ai_style_guard.py':
+                continue
+            if p.suffix.lower() not in TARGET_EXTENSIONS:
+                continue
+            try:
+                text = p.read_text(encoding='utf-8', errors='ignore')
+            except Exception:
+                continue
+            hits = rule['pattern'].findall(text)
+            if hits:
+                total += len(hits)
+                if len(samples) < 2:
+                    samples.append(str(p.relative_to(root)))
+
+        checks.append(
+            {
+                "name": rule['name'],
+                "ok": total <= rule['limit'],
+                "count": total,
+                "limit": rule['limit'],
+                "sample_files": samples,
+                "fix": "降低模板化视觉指纹，结合 kill-ai-slop 风格清洗策略重新组织配色与动效节奏",
+            }
+        )
+
+    anti_doc = root / 'references' / 'content-guidelines.md'
+    checks.append(
+        {
+            "name": "反AI风格执行文档",
+            "ok": anti_doc.exists(),
+            "fix": "补齐反AI风格文档（content-guidelines）并绑定 doctor 闭环",
+            "sample_files": [str(anti_doc.relative_to(root))] if anti_doc.exists() else [],
+        }
+    )
+
+    return {
+        "checks": checks,
+        "passed": all(c['ok'] for c in checks),
+    }

scripts/doctor.py

@@ -2,6 +2,7 @@
 """Human-readable environment doctor for one-click users."""
 from __future__ import annotations
 import json, shutil, subprocess, sys
+from anti_ai_style_guard import collect_style_guard_report
 from pathlib import Path
 
 ROOT = Path(__file__).resolve().parents[1]
@@ -32,6 +33,11 @@ def main() -> int:
             ok &= check(f'npm script {script}', script in scripts, f'在 package.json scripts 中补充 {script}')
     else:
         print('[INFO] package.json absent; shell/python one-click path is primary')
+    slop = collect_style_guard_report(ROOT)
+    for item in slop.get('checks', []):
+        if not item.get('ok', False):
+            print(f"[WARN] {item.get('name')} — {item.get('fix', '')}")
+
     gate = ROOT/'scripts/product_convergence_gate.py'
     if gate.exists():
         try: