hf.audit-code

Audit Python code quality and create themed GitHub issues.

5|2|Updated Feb 18, 2026

Search Tags:#python #github #audit #complexity #code-quality #duplication #dead-code

Ready to run

npx skills add https://github.com/T-rav/hydraflow --skill hf-audit-code

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: hf.audit-code
Source: https://github.com/T-rav/hydraflow/tree/main/.codex/skills/hf.audit-code
Command: npx skills add https://github.com/T-rav/hydraflow --skill hf-audit-code

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identifies code quality issues (dead code, high complexity, duplication, and robustness gaps) across a repository and triggers actionable GitHub issues to drive remediation.

Core Features & Use Cases

Code quality auditing: dead code detection, complexity and duplication checks, error handling robustness review, and type-safety checks across Python projects.
Automated GitHub issue creation: groups findings into themed issues and assigns to a repository owner to drive remediation.
Configurable workflow: respects repository configuration for target repo, assignee, and labels to ensure traceability.

Quick Start

Run the hf.audit-code skill to perform a full code-quality audit and publish grouped GitHub issues for findings to your repository.

Frequently Asked Questions about hf.audit-code

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

FAQPage Schema

How do I automate Python code quality audits for dead code and complexity?▼

To automate Python code quality audits, this Skill scans your repository to identify dead code, complexity, duplication, and robustness gaps, then automatically generates grouped GitHub issues to drive remediation.

Can I automatically create GitHub issues for code quality findings?▼

Yes, you can automatically create GitHub issues for code quality findings. The Skill groups audit results by theme, assigns them to a repository owner, and applies configured labels to ensure traceability.

What is the best way to check for code duplication and robustness gaps in Python?▼

The best way to check for code duplication and robustness gaps is running a full repository audit. This Skill evaluates Python source files to determine metrics for duplication, error handling robustness, and type-safety.

Does the code quality audit respect my repository configuration for assignees and labels?▼

Yes, the code quality audit respects your repository configuration. It uses your defined target repository, assignee, and labels to ensure that generated issues match your existing project management workflow.

How do I track and assign ownership for dead code detection results?▼

To track and assign ownership for dead code detection results, the Skill assigns the generated themed GitHub issues directly to a configured repository owner and stores discovered values for reproducible planning.

What Python code metrics are calculated during a repository complexity audit?▼

During a repository complexity audit, the Skill calculates metrics for dead code, complexity, duplication, error handling robustness, and type-safety across your Python source files.