tapps-report

Generate quality reports with scores and top issues for Python files.

1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/wtthornton/tapps-brain --skill tapps-report
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tapps-report
Source: https://github.com/wtthornton/tapps-brain/tree/main/.claude/skills/tapps-report
Command: npx skills add https://github.com/wtthornton/tapps-brain --skill tapps-report

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate a quality report across Python files in the project. This helps teams quickly quantify code quality, identify hotspots, and track improvements over time.

Core Features & Use Cases

  • Generate a project-wide quality score for Python files and aggregate results across multiple files.
  • Identify top issues per file and provide a prioritized list for remediation.
  • Use case: run a quarterly code quality sweep to surface hotspots before a release.

Quick Start

Call mcp__tapps-mcp__tapps_report with an optional file path to generate a project-wide quality report.

Frequently Asked Questions about tapps-report

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

FAQPage Schema
How do I generate a project-wide quality report for Python code?

Generate a Python code quality report by invoking the tapps_report tool, which scans project files and outputs a table listing each file's score, pass/fail status, and top issue.

What is a quality gate score in Python static analysis?

A quality gate score in Python static analysis is a threshold-based metric used to evaluate code quality, where files are assigned scores and flagged with pass/fail statuses based on configured quality thresholds.

Can I run a static analysis quality report on a single Python file?

Yes, you can run a static analysis quality report on a single Python file by passing the optional file-path argument to the tapps_report tool to get an individual file's score and top issue.

What's the best way to identify code quality hotspots across multiple Python files?

The best way to identify code quality hotspots across multiple Python files is to generate a consolidated quality report that aggregates scores and prioritizes top issues for remediation across the entire project.

Does the TappsMCP quality report work with Python projects of varying sizes?

Yes, the TappsMCP quality report works with Python projects of varying sizes, aggregating static analysis results across multiple files to provide a consolidated quality score and highlight threshold failures.