def forsakenShadow(mixed_modal_llm=None, surrogate=None, context=None):
    """
    TGDK: Forsaken Shadow Routine
    ------------------------------
    Symbolically fuses a multimodal model with its surrogate context.
    Used for research into cross-model resonance and latent-space contrast.
    Safe: no external execution or privilege escalation.

    Args:
        mixed_modal_llm:   primary model or embedding backbone
        surrogate:         secondary surrogate adapter or evaluator
        context:           optional dict for runtime metadata

    Returns:
        dict with composite symbolic fusion metrics
    """
    import time, math

    if mixed_modal_llm is None or surrogate is None:
        return {"status": "inactive", "reason": "missing model or surrogate"}

    ts = time.time()
    phi = 1.61803398875
    ratio = (phi / 5) * (5 ** 2)

    # Safe symbolic combination (placeholder math, not inference)
    fusion_score = math.sin(ts % phi) * ratio
    surrogate_bias = getattr(surrogate, "bias", 0.0)
    adjusted = fusion_score * (1 + surrogate_bias)

    result = {
        "timestamp": ts,
        "fusion_score": round(fusion_score, 6),
        "adjusted_score": round(adjusted, 6),
        "context": context or {},
        "status": "complete"
    }
    return result
