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jorgealves/agent_skills164 installs

technical-debt-visualizer

Generates a heat-map and metrics report of a repository based on code complexity, lack of tests, and 'TODO/FIXME' density. Use when you need to identify high-risk areas for refactoring or when planning technical debt reduction sprints.

How do I install this agent skill?

npx skills add https://github.com/jorgealves/agent_skills --skill technical-debt-visualizer
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The analyzed skill consists of descriptive metadata and configuration files with no executable code provided. While the described functionality (static code analysis) is inherently low-risk, the skill defines a processing surface for indirect prompt injection by analyzing code comments.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

  • Runlayerwarn

    2/2 files flagged

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

Technical Debt Visualizer

Purpose and Intent

The technical-debt-visualizer provides a data-driven view of software quality. It helps engineering leaders and developers prioritize refactoring work by identifying files that are both complex and frequently changed—the "high-interest" technical debt.

When to Use

  • Sprint Planning: Run this before a dedicated refactoring sprint to identify the best "ROI" targets.
  • Architectural Reviews: Use to visualize the impact of legacy systems on the overall codebase health.
  • Due Diligence: Quickly assess the health of a new or acquired repository.

When NOT to Use

  • Performance Benchmarking: This tool measures code structure and maintainability, not runtime performance.
  • Absolute Complexity Rating: Metrics like cyclomatic complexity are indicators, not absolute rules; some complex logic is unavoidable.

Input and Output Examples

Input

source_path: "./src"
output_format: "markdown"

Output

A markdown report highlighting "Hotspots"—files that have high complexity and low test coverage.

Error Conditions and Edge Cases

  • No Git History: If run on a non-git directory, the "change frequency" metric will be unavailable.
  • Unsupported Languages: Complexity analysis is language-dependent; unknown extensions will be reported with a lower confidence score.

Security and Data-Handling Considerations

  • Local Scan: The analysis is performed entirely in memory on the local machine.
  • No Execution: The tool uses static analysis; it never runs the code it is analyzing.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/jorgealves/agent_skills/technical-debt-visualizer">View technical-debt-visualizer on skillZs</a>