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🗺️ Change Impact Mapper
The Change Impact Mapper provides a comprehensive "blast radius" analysis of your code changes.
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See it in action
You say
Check the blast radius of my recent changes to the auth validation logic in src/auth/utils.ts.
Your agent does
Impact Analysis: src/auth/utils.ts
Changed Targets: validateSessionToken
Downstream Impact:
- [High]
src/api/middleware.ts: Imports validation logic (Line 42) - [Low]
src/cli/debug.ts: Reference found in logger Covering Tests:tests/auth_test.tsMissed Coverage: No tests found formiddleware.tsintegration.
What you get
About this skill
What it does
The Change Impact Mapper provides a comprehensive "blast radius" analysis of your code changes. By performing static analysis on your diffs or changed files, it identifies exactly which downstream modules, functions, and services depend on the code you modified. It cross-references these findings with existing test suites to pinpoint which areas are safely covered and which are high-risk gaps.
Why use this skill
Manual impact analysis is error-prone and time-consuming. This skill automates the discovery of reverse imports and symbol callers across your repository. Unlike generic AI prompting, this tool uses a dedicated Python-based scanner to ensure accuracy in cross-module dependency mapping for Python and JavaScript/TypeScript projects. It helps you catch breaking changes in downstream dependencies before you even run your CI pipeline.
Supported tools
- Languages: Full support for Python, JavaScript, and TypeScript.
- Frameworks: Works with standard import structures and symbol references.
- Analysis: Static reverse-reference mapping and test coverage correlation.
The Output
You receive a structured report detailing the scope of inspection, specific changed targets, impact findings categorized by severity (flagging high fan-in risks), a list of covering tests, and identified coverage gaps.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.
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