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AI SBOM Generator

AI SBOM Generated for {{ model_id }}

Generate another AI SBOM

Download generated AI SBOM in CycloneDX format

{% if enhancement_report and enhancement_report.ai_enhanced %}

AI Enhancement Results

This AI SBOM was enhanced using {{ enhancement_report.ai_model }}

Original Score: {{ enhancement_report.original_score.total_score|round(1) }}/100

Enhanced Score: {{ enhancement_report.final_score.total_score|round(1) }}/100

Improvement: +{{ enhancement_report.improvement|round(1) }} points

{% endif %}

Note: This page displays the AI SBOM in a human-friendly format for easier readability. The downloaded JSON file follows the standard CycloneDX format required for interoperability with other tools.

Human-Friendly View
JSON View
Field Checklist
Score Report

Key Information

Model Name:
{{ aibom.components[0].name if aibom.components and aibom.components[0].name else 'Not specified' }}
Type:
{{ aibom.components[0].type if aibom.components and aibom.components[0].type else 'Not specified' }}
Version:
{{ aibom.components[0].version if aibom.components and aibom.components[0].version else 'Not specified' }}
PURL:
{{ aibom.components[0].purl if aibom.components and aibom.components[0].purl else 'Not specified' }}
{% if aibom.components and aibom.components[0].description %}
Description:
{{ aibom.components[0].description }}
{% endif %}
{% if aibom.components and aibom.components[0].modelCard %}

Model Card

{% if aibom.components[0].modelCard.modelParameters %}
Model Parameters:
    {% for key, value in aibom.components[0].modelCard.modelParameters.items() %}
  • {{ key }}: {{ value }}
    • {% endfor %}
{% endif %} {% if aibom.components[0].modelCard.considerations %}
Considerations:
    {% for key, value in aibom.components[0].modelCard.considerations.items() %}
  • {{ key }}: {{ value }}
    • {% endfor %}
{% endif %}
{% endif %} {% if aibom.components and aibom.components[0].externalReferences %}

External References

    {% for ref in aibom.components[0].externalReferences %}
  • {{ ref.type }}: {{ ref.url }} {% if ref.comment %}
    {{ ref.comment }} {% endif %}
    • {% endfor %}
{% endif %} 
{{ aibom | tojson(indent=2) }}

Field Checklist & Mapping

Critical
Important
Supplementary

This table shows how fields map to the CycloneDX specification and their status in your AI SBOM.

Standard CycloneDX Fields

These fields are part of the official CycloneDX specification and are used in all SBOMs:

{% for field_key, field_data in completeness_score.field_categorization.standard_cyclonedx_fields.items() %} {% endfor %}
Status Field Name CycloneDX JSON Path Info Importance
{% if field_data.status == "✔" %} ✔ {% else %} ✘ {% endif %} {{ field_data.field_name }} {{ field_data.json_path }} (?) {{ field_data.field_name }} field information. {{ field_data.importance }}

AI-Specific Extension Fields

These fields extend the CycloneDX specification specifically for AI models:

{% for field_key, field_data in completeness_score.field_categorization.ai_specific_extension_fields.items() %} {% endfor %}
Status Field Name CycloneDX JSON Path Info Importance
{% if field_data.status == "✔" %} ✔ {% else %} ✘ {% endif %} {{ field_data.field_name }} {{ field_data.json_path }} (?) {{ field_data.field_name }} field information. {{ field_data.importance }}

AI SBOM Completeness Score

{% if completeness_score.completeness_profile %}

Completeness Profile: {{ completeness_score.completeness_profile.name }}

{{ completeness_score.completeness_profile.description }}

{% if completeness_score.completeness_profile.next_level %}

Next level: {{ completeness_score.completeness_profile.next_level.name }} ({{ completeness_score.completeness_profile.next_level.missing_fields_count }} fields to add)

{% endif %}
{% endif %}
{{ completeness_score.total_score|round(1) }}/100
{% set score_percent = (completeness_score.total_score / 100) * 100 %} {% set score_class = 'progress-poor' %} {% set score_label = 'Poor' %} {% if score_percent >= 90 %} {% set score_class = 'progress-excellent' %} {% set score_label = 'Excellent' %} {% elif score_percent >= 70 %} {% set score_class = 'progress-good' %} {% set score_label = 'Good' %} {% elif score_percent >= 50 %} {% set score_class = 'progress-fair' %} {% set score_label = 'Fair' %} {% endif %}
{{ score_percent|int }}% {{ score_label }}
{% if completeness_score.validation_penalty %}

About the Validation Penalty

Your score includes a penalty because the AIBOM has schema validation issues. These are structural problems that don't comply with the CycloneDX specification requirements.

How to fix this: Look at the "Fix Validation Issues" section in the recommendations below. Fixing these issues will remove the penalty and improve your overall score.

{% endif %} {% set weights = {'required_fields': 20, 'metadata': 20, 'component_basic': 20, 'component_model_card': 30, 'external_references': 10} %} {% set tooltips = { 'required_fields': 'Basic SBOM fields required by the CycloneDX specification: bomFormat, specVersion, serialNumber, and version.', 'metadata': 'Information about the AI SBOM itself: timestamp, tools used to generate it, authors, and component metadata.', 'component_basic': 'Basic information about the AI model: type, name, bom-ref, PURL, description, and licenses.', 'component_model_card': 'Detailed information about the model: parameters, quantitative analysis, and ethical considerations.', 'external_references': 'Links to external resources like model cards, repositories, and datasets.' } %} {% set display_names = { 'required_fields': 'Required Fields', 'metadata': 'Metadata', 'component_basic': 'Component Basic', 'component_model_card': 'Model Card', 'external_references': 'External References' } %} {% for section, score in completeness_score.section_scores.items() %} {% endfor %}
Section Score Weight Progress
{{ display_names[section] }} (?) {{ tooltips[section] }} {{ score|round(1) }}/{{ completeness_score.max_scores[section] }} {{ weights[section] }}%
{% set percent = (score / completeness_score.max_scores[section]) * 100 %} {% set class = 'progress-poor' %} {% if percent >= 90 %} {% set class = 'progress-excellent' %} {% elif percent >= 70 %} {% set class = 'progress-good' %} {% elif percent >= 50 %} {% set class = 'progress-fair' %} {% endif %}
{{ percent|int }}%

How the Overall Score is Calculated

Critical Missing Fields

The following fields are missing or incomplete and have the biggest impact on your score:

    {% set missing_critical = [] %} {% for field, status in completeness_score.field_checklist.items() %} {% if "✘" in status %} {% if completeness_score.field_tiers and field in completeness_score.field_tiers and completeness_score.field_tiers[field] == 'critical' %} {% set _ = missing_critical.append(field) %}
  • {{ field }} {% if field == "component.description" %} - Add a detailed description of the model (at least 20 characters) {% elif field == "component.purl" %} - Add a valid PURL in the format pkg:huggingface/[owner]/[name]@[version] {% elif field == "modelCard.modelParameters" %} - Add model parameters section with architecture, size, and training details {% elif field == "primaryPurpose" %} - Add primary purpose information (what the model is designed for) {% else %} - This field is required for comprehensive documentation {% endif %}
    • {% endif %} {% endif %} {% endfor %} {% if missing_critical|length == 0 %}
  • No critical fields are missing. Great job!
    • {% endif %}

Recommendations to Improve Your Score

    {% if completeness_score.section_scores.component_model_card < completeness_score.max_scores.component_model_card %}
  1. Enhance Model Card (+{{ ((completeness_score.max_scores.component_model_card - completeness_score.section_scores.component_model_card) * 0.3)|round(1) }} points):
      {% if completeness_score.missing_fields.critical %} {% for field in completeness_score.missing_fields.critical %} {% if field == "modelCard.modelParameters" or field == "modelCard.considerations" %}
    • Add {{ field }} information
      • {% endif %} {% endfor %} {% endif %}
    2. {% endif %} {% if completeness_score.section_scores.component_basic < completeness_score.max_scores.component_basic %}
  2. Add Basic Component Information (+{{ ((completeness_score.max_scores.component_basic - completeness_score.section_scores.component_basic) * 0.2)|round(1) }} points):
      {% if completeness_score.missing_fields.critical %} {% for field in completeness_score.missing_fields.critical %} {% if field == "name" or field == "description" or field == "purl" %}
    • Add {{ field }} information
      • {% endif %} {% endfor %} {% endif %} {% if completeness_score.missing_fields.important %} {% for field in completeness_score.missing_fields.important %} {% if field == "type" or field == "licenses" %}
    • Add {{ field }} information
      • {% endif %} {% endfor %} {% endif %}
    3. {% endif %} {% if completeness_score.section_scores.metadata < completeness_score.max_scores.metadata %}
  3. Add Metadata (+{{ ((completeness_score.max_scores.metadata - completeness_score.section_scores.metadata) * 0.2)|round(1) }} points):
      {% if completeness_score.missing_fields.critical %} {% for field in completeness_score.missing_fields.critical %} {% if field == "primaryPurpose" or field == "suppliedBy" %}
    • Add {{ field }} information
      • {% endif %} {% endfor %} {% endif %} {% if completeness_score.missing_fields.supplementary %} {% for field in completeness_score.missing_fields.supplementary %} {% if field == "standardCompliance" or field == "domain" or field == "autonomyType" %}
    • Add {{ field }} information
      • {% endif %} {% endfor %} {% endif %}
    4. {% endif %} {% if completeness_score.section_scores.external_references < completeness_score.max_scores.external_references %}
  4. Add External References (+{{ ((completeness_score.max_scores.external_references - completeness_score.section_scores.external_references) * 0.1)|round(1) }} points):
      {% if completeness_score.missing_fields.critical %} {% for field in completeness_score.missing_fields.critical %} {% if field == "downloadLocation" %}
    • Add download location reference
      • {% endif %} {% endfor %} {% endif %}
    • Add links to model card, repository, and dataset
    5. {% endif %} {% if completeness_score.validation and not completeness_score.validation.valid %}
  5. Fix Validation Issues (remove validation penalty):
      {% for recommendation in completeness_score.validation.recommendations %}
    • {{ recommendation }}
      • {% endfor %}
    6. {% endif %}

Scoring Rubric

The overall score is calculated using a weighted normalization approach:

Total Score = Sum of (Section Score × Section Weight)

Where:

  • Section Score = Points earned in that section
  • Section Weight = Section's maximum points ÷ Total possible points (100)

Example calculation: If your SBOM has these section scores:

  • Required Fields: 20 points × 0.20 weight = 4.0 points
  • Metadata: 15 points × 0.20 weight = 3.0 points
  • Component Basic: 10 points × 0.20 weight = 2.0 points
  • Model Card: 10 points × 0.30 weight = 3.0 points
  • External References: 5 points × 0.10 weight = 0.5 points

The total score would be 12.5 points, even though the raw section scores sum to 60 points.

Note: The total score is not the sum of section scores. Each section contributes proportionally to its weight in the final score.

Fields are classified into three tiers based on importance:

  • Critical fields: Highest weight (3-4 points each)
  • Important fields: Medium weight (2-4 points each)
  • Supplementary fields: Lower weight (1-2 points each)

Penalties are applied for missing critical fields:

  • Missing >3 critical fields: 20% penalty (score × 0.8)
  • Missing 1-3 critical fields: 10% penalty (score × 0.9)
  • Missing >5 important fields: 5% penalty (score × 0.95)
{% if completeness_score.validation_penalty %}

Additional penalties are applied based on validation results:

  • Schema errors: Up to 50% reduction (10% per error)
  • Schema warnings: Up to 20% reduction (5% per warning)
{% endif %}

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🚀 Generated AI SBOMs using this tool: {{ sbom_count if sbom_count else 'N/A' }}

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