Can it help me find dead code?

Yes, by analyzing exports with zero references across the dependency graph, the skill can pinpoint unused modules and orphan code that are safe to delete.

What is 'blast radius' in Impact Flow?

Blast radius identifies all direct and indirect callers of a specific function or file, providing a risk level and percentage of the codebase affected by a change.

What metrics are included in the Health Score?

The health score is a weighted composite of afferent/efferent coupling, cyclomatic complexity, dead code ratio, test coverage, and documentation density.

Can I visualize the results?

Yes, the skill generates Mermaid.js syntax for dependency graphs and call trees, which can be rendered into visual diagrams.

How does this skill save on token costs?

It utilizes Serena MCP to analyze symbol metadata (~500 tokens/file) instead of reading full source files (~30,000 tokens/file), resulting in significant cost savings.

Impact Flow Analysis

Name: Impact Flow Analysis
Author: swannysec

byswannysec

0•

Developer Tools

Analyzes codebase dependencies, assesses change impact, and generates technical health scores with high token efficiency.

Impact Flow is a specialized codebase introspection skill for Claude Code designed to manage complexity and risk during development. It allows developers to visualize module relationships through dependency graphs, calculate the 'blast radius' of proposed changes, and generate comprehensive A-F health grades based on coupling and complexity metrics. By prioritizing Serena MCP for symbol metadata, the skill performs deep analysis with up to 60x fewer tokens than traditional methods, making it ideal for auditing large repositories, tracing execution paths, and identifying dead code.

Key Features

01Automated blast radius assessment to quantify refactoring risk

02Comprehensive health scoring based on coupling, complexity, and debt

030 GitHub stars

04Recursive execution flow tracing for deep call path analysis

05Visual dependency mapping with Mermaid diagram generation

06Token-optimized symbol scanning via Serena MCP integration

Use Cases

01Auditing technical debt to identify highly coupled or undocumented modules

02Mapping execution paths and async boundaries when onboarding to a new codebase

03Evaluating the systemic impact of modifying a core shared library or API

Key Features

01Automated blast radius assessment to quantify refactoring risk

02Comprehensive health scoring based on coupling, complexity, and debt

030 GitHub stars

04Recursive execution flow tracing for deep call path analysis

05Visual dependency mapping with Mermaid diagram generation

06Token-optimized symbol scanning via Serena MCP integration

Use Cases

01Auditing technical debt to identify highly coupled or undocumented modules

02Mapping execution paths and async boundaries when onboarding to a new codebase

03Evaluating the systemic impact of modifying a core shared library or API