Audit test files for naming, structure, coverage, and fixture gaps.
npx skills add https://github.com/T-rav/hydraflow --skill hf-audit-tests
Please help me install this Agent Skill. Skill: hf.audit-tests Source: https://github.com/T-rav/hydraflow/tree/main/.codex/skills/hf.audit-tests Command: npx skills add https://github.com/T-rav/hydraflow --skill hf-audit-tests
HydraFlow test quality auditing at scale: it scans test suites, detects anti-patterns and gaps, and turns findings into actionable issues to drive improvements.
Run the hf.audit-tests skill to scan the repository and generate grouped GitHub issues summarizing test quality gaps.
High-intent search queries and answers about installing and using this skill.
You can automate test quality audits by scanning test files, conftest.py, and helpers to detect gaps in naming, structure, coverage, and fixtures, then grouping findings into standardized GitHub issues for remediation.
Automated test quality auditing identifies anti-patterns and coverage gaps across your test suite, deduplicates findings by checking existing issues, and groups them by theme to create actionable remediation work items.
To detect test anti-patterns and fixture gaps, apply an audit across all files under tests/, conftest.py, and helpers to systematically identify structural issues and coverage weaknesses.
Yes, test quality findings are grouped by theme and deduplicated against existing issues to create standardized, actionable GitHub issues summarizing related remediation work.
Yes, the test audit checks existing GitHub issues before creating new ones to ensure de-duplication and prevent redundant remediation tickets.
The best way to scan conftest.py and helper files is to apply a comprehensive audit that detects naming, structure, coverage, and fixture gaps, then generates grouped issues for remediation.
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