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Jonely235
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blast-radius-analysis

Identifies direct and indirect dependencies to assess blast radius of code changes across multi-language codebases.

Updated Dec 30, 2025
Search Tags:#refactoring#blast-radius#call-graph#code-change#risk-analysis#dependency-tracing
One-click install
npx skills add https://github.com/Jonely235/claude-skills --skill blast-radius-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: blast-radius-analysis
Source: https://github.com/Jonely235/claude-skills/tree/main/.claude/skills/blast-radius-analysis
Command: npx skills add https://github.com/Jonely235/claude-skills --skill blast-radius-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Quickly understand how a code change propagates by tracing call graphs and identifying direct and indirect dependencies, reducing deployment risk and surprise changes.

Core Features & Use Cases

  • Call graph tracing: discover all callers and callee relationships to reveal the full impact surface.
  • Risk-based categorization: classify affected modules by HIGH/MEDIUM/LOW risk to prioritize review.
  • What-if scenarios: evaluate downstream effects before refactoring and coordinate safe change management.
  • Use Case: When planning a refactor, run blast-radius analysis to predict affected components and stakeholders.

Quick Start

Run blast-radius analysis on your codebase to map the full call graph and surface high-risk changes.

Frequently Asked Questions about blast-radius-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze the blast radius of a code change before refactoring?▼

Code change impact analysis works by tracing call graphs via LSP or grep to discover all caller and callee relationships, categorizing affected modules by HIGH, MEDIUM, or LOW risk to prioritize review and deployment decisions.

How do I trace direct and indirect dependencies for risk assessment in multi-language codebases?▼

Trace direct and indirect dependencies for risk assessment by applying call graph tracing via LSP or grep across multi-language codebases, categorizing the discovered relationships to output structured risk analysis results.

Does blast radius analysis work with multi-language codebases using LSP or grep?▼

Yes, blast radius analysis supports multi-language codebases by tracing call graphs via LSP or grep, allowing you to map the full impact surface and surface high-risk changes across different languages.

How do I categorize refactoring risk by tracing call graphs?▼

Categorize refactoring risk by tracing call graphs to identify downstream effects, then classify affected modules into HIGH, MEDIUM, or LOW risk categories to prioritize code review and coordinate safe change management.

Can I evaluate what-if scenarios for downstream effects before modifying code?▼

Yes, you can evaluate what-if scenarios for downstream effects before modifying code by mapping the full call graph to predict affected components, stakeholders, and deployment risks during refactoring planning.

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