# Evaluate Component Models in Frameworks

Framework extension points can be hard to compare across codebases. This skill guides Claude, Codex, and Claude Code through abstraction, dependency injection, and configuration analysis.

## Install

```bash
npx skillstore add dowwie/component-model-analysis
```

## Metadata

- Status: approved
- Slug: dowwie-component-model-analysis
- Skillstore revision: r1
- Version status: missing
- Tree hash: 12954f07d018c004b134746b39b9814a7b4c1dc7fc227c3930346ff83c59fab5
- Author: Dowwie
- GitHub username: Dowwie
- License: MIT
- Repository: https://github.com/Dowwie/agent\_framework\_study/tree/main/.claude/skills/component-model-analysis
- Ref: 72d5025b022c77f7a51bdf5c1637c689c80e89d1
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, env\_access
- Quality score: 78
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/dowwie-component-model-analysis
- Manifest: https://skillstore.pages.dev/api/skills/dowwie-component-model-analysis/manifest

## Capabilities

- Identifies base classes, protocols, and inheritance depth in framework components.
- Classifies abstractions as thick, thin, or mixed using defined traits.
- Compares constructor, factory, registry, and container dependency injection patterns.
- Evaluates code-first, config-first, and hybrid configuration strategies.
- Produces a structured Markdown report covering extension points and recommendations.

## Use Cases

- Review Framework Extensibility: Map base classes, protocols, registries, and configuration paths before adopting a framework.
- Improve Plugin Design: Find where dependency injection or registry choices make custom components easier or harder to add.
- Compare Build Options: Create a consistent report for teams choosing between code-first, config-first, and hybrid frameworks.

## Prompt Templates

### Review a Framework

```
Use component-model-analysis to review this framework. Identify base classes, dependency injection patterns, configuration strategy, and extension points.
```

### Compare Extension Styles

```
Analyze the component model in these modules. Classify each abstraction as thick, thin, or mixed, then explain tradeoffs for testing and customization.
```

### Evaluate Plugin Design

```
Assess this plugin architecture with component-model-analysis. Focus on registries, factories, lifecycle ownership, and how a developer adds a custom component.
```

### Prepare Architecture Recommendation

```
Use component-model-analysis across these candidate frameworks. Compare abstraction depth, dependency injection, configuration, extension difficulty, and risks.
```

## Limitations

- Requires source code or architecture notes that show framework component definitions.
- Does not execute tests or verify behavior at runtime.
- Does not measure performance, reliability, or production usage.
- Examples use Python-style patterns and may need translation for other languages.

## Best Practices

- Provide representative files for base classes, factories, registries, and configuration loaders.
- Ask for tradeoffs, not only labels, when comparing abstraction depth.
- Use the output template to keep findings consistent across frameworks.

## Anti Patterns

- Do not judge extensibility from README examples alone.
- Do not treat every base class as a design problem without checking inherited behavior.
- Do not mix runtime performance analysis into this structural review.

## Security Audit

- Audited at: 2026-07-06T12:02:52.786\+00:00
- Summary: Reviewed SKILL.md and found the static hits are false positives from Markdown code fences, inline backtick references, and illustrative architecture snippets. No evidence found of runtime command execution, secret access, prompt injection, data exfiltration, or system reconnaissance.

## Stats

- Views: 258
- Downloads: 9
- Favorites: 0
- Popularity score: 0