```json
{
    "issues": [
        {
            "issue": "Incorrect data type in score_dict values",
            "evidence": "score_dict={\"alignment_score\": alignment_scores}",
            "description": "The 'score_dict' should contain single numeric values, but it currently holds lists (alignment_scores). These lists need to be aggregated into a single score, such as an average or sum, to match the expected data type for 'score_dict' values."
        },
        {
            "issue": "Inconsistent handling of probabilities in evaluation",
            "evidence": "probs[probs == -np.inf] = -10**5",
            "description": "Replacing -inf with -10^5 suggests a problem in handling probabilities, potentially leading to incorrect score evaluations. This adjustment could compromise the accuracy of results when these probabilities are used for computing alignment scores."
        }
    ]
}
```

### Breakdown of the Found Issues:

1. **Incorrect Data Type in `score_dict` Values**:
   - `alignment_scores` is a list assigned to `score_dict`, which should instead contain a single numeric value. Aggregation (e.g., average or sum) is needed before assignment.

2. **Inconsistent Handling of Probabilities in Evaluation**:
   - Replacing `-inf` with `-10^5` may not align with the intended logic for evaluating outputs, indicating a need to address unexpected model outputs to ensure accurate scoring.