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    🗺️ Change Impact Mapper

    🗺️ Change Impact Mapper

    by JustHandled Labs

    Map the blast radius of a code change before you run the whole suite. For the files and functions you changed, it lists what imports or calls them, which tests cover them, flags any change with no covering test, and warns when a file has a lot of dependents. It tells an agent what its edit might break instead of making it guess. Resolves Python and JavaScript/TypeScript.

    Updated Jun 2026
    Security scanned
    Cursor

    $13

    · or 65 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Identify all downstream files affected by a function signature change
    • Flag high-risk changes that lack corresponding test coverage
    • file_read, terminal automation included
    • Ready for Cursor
    • Instant install

    Sample input

    Check the blast radius of my recent changes to the auth validation logic in src/auth/utils.ts.

    Sample output

    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.ts Missed Coverage: No tests found for middleware.ts integration.

    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.

    Use Cases

    • Identify all downstream files affected by a function signature change
    • Flag high-risk changes that lack corresponding test coverage
    • Detect "high fan-in" modules that may cause widespread regressions
    • Audit the impact of an edit before committing to a shared codebase

    Reviews

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    Only users who have downloaded or purchased this skill can leave a review.

    Security Scanned

    Passed automated security review

    Permissions

    Read Files
    Terminal / Shell

    File Scopes

    change-impact-mapper/**
    --changed <paths>
    diff
    --stdin
    **/*.py
    **/*.js
    **/*.ts
    **/*.jsx
    **/*.tsx

    Read-only. Builds a reverse-reference view with the standard-library ast module. The high fan-in threshold is configurable. Reads no environment variables and writes nothing.

    Tags

    devops
    code-analysis
    typescript
    python
    testing
    refactoring

    Works with any agent that can read a repo and run a local Python script (Claude Code, Cursor, Codex CLI, and other SKILL.md-compatible agents). Standard library only (uses the built-in ast module), no install step. Read-only, no network.

    Creator

    JustHandled Labs

    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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