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ai-inventory

Generate and analyze AI Bill of Materials (AIBOM) for Python projects using AI/ML components. Identifies AI models, datasets, tools, and frameworks for security and compliance tracking. Use this skill when: - User asks to scan for AI components - User wants to know what AI models a project uses - User mentions "AI BOM", "AI inventory", or "ML security" - User is working with Python AI/ML projects (PyTorch, TensorFlow, HuggingFace) - User needs AI component compliance documentation

69

Quality

84%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is a well-organized, phased workflow with explicit validation gates and error-recovery guidance, strong actionability via concrete tool calls, and a clean self-contained structure needing no external references. Minor conciseness trims and more worked report examples would push it to the top of the scale.

DimensionReasoningScore

Conciseness

The body is mostly efficient with phased structure and minimal over-explanation of concepts Claude already knows, though sections like the AI/ML package list and risk descriptions carry mild padding that could be trimmed.

4 / 5

Actionability

It provides concrete, copy-ready tool invocations like 'mcp_snyk_snyk_aibom(path="/absolute/path/to/project")' and structured report templates, but the report tables are skeleton placeholders rather than fully worked examples.

4 / 5

Workflow Clarity

The five phases are clearly sequenced with explicit validation checkpoints — 'verify the returned JSON contains component entries before proceeding', the Not-a-Python-Project error halt, and validate-before-Phase-3 gating — plus error-recovery guidance, matching the score-5 anchor.

5 / 5

Progressive Disclosure

The SKILL.md is a self-contained overview well under the size that would require external files, with clean section headers (Quick Start, Phases 1-5, Use Cases, Constraints) and no nested references; for a sub-50-line-equivalent single-purpose skill this is appropriate.

5 / 5

Total

18

/

20

Passed

Description

83%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A well-constructed description that clearly states what the skill does and when to invoke it, with concrete trigger conditions and natural phrasing. It is comprehensive on completeness and only slightly short of the top anchor on specificity and trigger-term coverage.

DimensionReasoningScore

Specificity

The description lists several concrete actions — 'Generate and analyze AI Bill of Materials (AIBOM)', 'Identifies AI models, datasets, tools, and frameworks' — giving clear coverage, though the action set is somewhat narrower than the score-5 anchor's multiple distinct operations.

4 / 5

Completeness

It explicitly answers both 'what' (generate/analyze AIBOM, identify components for security and compliance) and 'when' with a concrete 'Use this skill when:' clause followed by five explicit trigger conditions, matching the score-5 anchor.

5 / 5

Trigger Term Quality

It surfaces natural terms users would say ('scan for AI components', 'AI BOM', 'AI inventory', 'ML security', framework names), but relies on a bullet list rather than weaving in synonyms and file extensions; a few common phrasings are absent.

4 / 5

Distinctiveness Conflict Risk

The AIBOM/AI-inventory niche plus Python-specific framing makes it mostly distinct with minimal conflict risk, though the broad 'security and compliance tracking' framing leaves minor overlap with general security-skills.

4 / 5

Total

17

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
snyk/studio-recipes
Reviewed

Table of Contents

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