Enhance Jyotish validation and Jaimini modules

- add external validation reports and open-source comparison references

- integrate Jaimini arudha/graha pada, enhanced argala, and additional synastry kutas

- update skill docs and capability matrices

- add smoke tests for open-source integrations

tests/test_open_source_integrations.py

@@ -0,0 +1,85 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+开源项目集成 smoke test
+
+验证已从 MIT 开源项目适配进来的模块能在本 skill 中独立运行：
+- dashaflow / jaimini-tropical: Jaimini Arudha A1-A12、Graha Pada、Special Lagnas
+- jaimini-tropical: Argala + Virodhargala + Rajayoga classification
+- dashaflow: Synastry additional kutas (Mahendra/StreeDeergha/Vedha/Rajju/BadConstellations)
+"""
+import json
+import os
+import sys
+
+ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+SCRIPTS = os.path.join(ROOT, "scripts")
+sys.path.insert(0, SCRIPTS)
+
+from jaimini import calc_arudha_padas, calc_graha_padas, calc_special_lagnas
+from argala import calc_argala
+from synastry import calc_synastry
+
+
+def sample_planet_longitudes():
+    return {
+        "Sun": 3.5055,
+        "Moon": 311.7759,
+        "Mars": 91.3161,
+        "Mercury": 338.5287,
+        "Jupiter": 163.8233,
+        "Venus": 340.5447,
+        "Saturn": 304.2874,
+        "Rahu": 231.0339,
+        "Ketu": 51.0339,
+    }
+
+
+def test_jaimini_arudha_modules():
+    asc_idx = 4  # Leo
+    lons = sample_planet_longitudes()
+    padas = calc_arudha_padas(asc_idx, lons)
+    assert padas["method"].startswith("Arudha Pada")
+    assert "A1" in padas["padas"]
+    assert "UL" in padas["padas"]
+    assert padas["padas"]["A10"]["name"] == "Karma Pada (A10)"
+
+    graha = calc_graha_padas(lons)
+    assert "Sun" in graha["graha_padas"]
+    assert "graha_pada_sign" in graha["graha_padas"]["Sun"]
+
+    special = calc_special_lagnas(asc_idx, 14, 45)
+    assert special["capability_status"] == "auxiliary_partial"
+    assert all(k in special for k in ("HL", "GL", "VL"))
+
+
+def test_argala_enhanced_module():
+    asc_idx = 4
+    signs = {p: int(lon / 30) % 12 for p, lon in sample_planet_longitudes().items()}
+    result = calc_argala(signs, asc_idx)
+    assert result["version"] == "1.1"
+    assert "house_1" in result["houses"]
+    assert "rajayoga_classification" in result["houses"]["house_1"]
+    assert "summary" in result
+
+
+def test_synastry_dashaflow_additional_kutas():
+    result = calc_synastry(
+        {"moon_lon": 210.5, "mars_lon": 130.1, "asc_lon": 120.0, "gender": "M"},
+        {"moon_lon": 45.2, "mars_lon": 15.0, "asc_lon": 60.0, "gender": "F"},
+    )
+    assert result["version"] == "3.8-dashaflow-mit-adapted"
+    assert "additional_kutas" in result
+    for key in ("Mahendra", "StreeDeergha", "Vedha", "Rajju", "BadConstellations"):
+        assert key in result["additional_kutas"]
+
+
+def main():
+    test_jaimini_arudha_modules()
+    test_argala_enhanced_module()
+    test_synastry_dashaflow_additional_kutas()
+    print(json.dumps({"status": "passed", "tests": 3}, ensure_ascii=False, indent=2))
+
+
+if __name__ == "__main__":
+    main()