How does the reporter help with automated fixes?

It specifically counts and labels 'auto-fixable' issues, providing a summary that informs the user whether they should run the command with the --apply flag.

What is the primary purpose of the Enhancement Reporter?

It serves as a final reporting stage that collects findings from various AI enhancers and organizes them into a structured, readable Markdown report for developers.

How does it handle duplicate issues?

The skill automatically filters findings based on file path, line number, and issue description to ensure that identical problems are only listed once.

Can I see low-certainty findings in the report?

By default, low-certainty findings are hidden to reduce noise. They are only included in the output when the verbose flag is enabled.

Enhancement Reporter

Name: Enhancement Reporter
Author: avifenesh

byavifenesh

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311

开发者工具

Generates prioritized, deduplicated Markdown reports from aggregated code enhancement findings and automated audits.

关于

The Enhancement Reporter is a specialized skill for Claude Code designed to streamline the review of automated code improvements. By aggregating findings from multiple enhancers into a single, unified report, it eliminates noise through intelligent deduplication and prioritizes issues by certainty levels. This skill provides developers with a clear executive summary, highlighting exactly how many issues can be automatically resolved, making it an essential tool for maintaining high code quality and consistency across large-scale projects.

主要功能

Certainty-based prioritization (High, Medium, Low) to focus on critical fixes
Auto-fixable issue tracking to facilitate rapid repository cleanup
Unified report aggregation from multiple AI agents and plugins
Automatic deduplication of identical findings by file, line, and issue type
Professional Markdown output with executive summaries and detailed tables
311 GitHub stars

使用场景

Generating a final audit report after running complex AI code refactors
Creating executive summaries for team lead reviews during automated migrations
Reviewing potential security and style findings before applying bulk changes

关于

主要功能

Certainty-based prioritization (High, Medium, Low) to focus on critical fixes
Auto-fixable issue tracking to facilitate rapid repository cleanup
Unified report aggregation from multiple AI agents and plugins
Automatic deduplication of identical findings by file, line, and issue type
Professional Markdown output with executive summaries and detailed tables
311 GitHub stars

使用场景

Generating a final audit report after running complex AI code refactors
Creating executive summaries for team lead reviews during automated migrations
Reviewing potential security and style findings before applying bulk changes