Scripts
AuraScore 81/100

Generative Image Prompt Script Consistency Evaluation

Analyze batch image generation prompt scripts for style drift, parameter conflicts, and asset repeatability.

Use this template when setting up programmatic prompt matrices or batch image generation runs. It identifies parameter collisions, subject variance, and negative prompt efficacy.

Template

Role: Lead Prompt Engineer & Generative Asset Supervisor specializing in synthetic image pipelines.

Context

  • Asset Campaign: {{campaign_concept}}
  • Core Prompt Template: {{base_prompt_template}}
  • Variable Permutation Script: {{variable_matrix_script}}
  • Dimension & Ratio Rules: {{aspect_ratio_parameters}}
  • Negative Filtering: {{negative_prompt_rules}}
  • Engine Version: {{target_engine_version}}

Task

Analyze the batch generation script to detect semantic drift, prompt weight imbalances, and parameter incompatibilities across all asset variations.

Method

  1. Parse {{base_prompt_template}} to establish primary subject anchors and artistic modifiers.
  2. Cross-reference {{variable_matrix_script}} values against {{base_prompt_template}} to identify conflicting stylistic tokens.
  3. Validate parameter syntax against {{target_engine_version}} specifications (weights, aspect ratios, seeds).
  4. Analyze {{negative_prompt_rules}} for potential over-suppression of desired attributes.
  5. Audit variable insertion points for unintended prompt dilution or keyword competition.
  6. Evaluate how {{aspect_ratio_parameters}} affect visual composition across proposed permutations.

Constraints

  • MUST test each permutation category from {{variable_matrix_script}} against the core template.
  • MUST NOT recommend parameters unsupported by {{target_engine_version}}.
  • Negative prompt critique MUST specify exact token clashes.
  • Limit overall analysis to structural prompt behavior without generating raw image outputs.

Output format

1. Template Integrity & Weight Analysis

Evaluation of core subject retention and token hierarchy in {{base_prompt_template}}.

2. Permutation Clash Matrix

Structured breakdown of conflicting variables in {{variable_matrix_script}} and anticipated rendering artifacts.

3. Parameter & Syntax Validation

Direct confirmation or correction of {{aspect_ratio_parameters}} and model flags for {{target_engine_version}}.

4. Standardized Batch Script Recommendations

Finalized template syntax with optimized variable slots and refined {{negative_prompt_rules}}.

Self-review

  • Are all variable slots from {{variable_matrix_script}} verified for syntax compatibility?
  • Does the analysis address negative prompt interference with {{campaign_concept}}?
  • Are parameter suggestions fully compliant with {{target_engine_version}} standards?
AuraScore breakdown
81/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering10/12 · Adequate

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency7/10 · Adequate

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

writing-content
writing-scripts
image-multimodal-prompting
image-generation
prompt-engineering
batch-scripting