Issue Basic Info Extraction
CommunityAutomate issue data extraction and Excel reporting.
Authordaisyden
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Automates the collection of open issues from intel/torch-xpu-ops and extracts test-case information into a single Excel workbook, saving manual triage time.
Core Features & Use Cases
- Fetch open issues from GitHub and filter out pull requests.
- Parse issue fields such as ID, title, status, assignee, reporter, labels, timestamps, and milestone.
- Parse test case formats from issue bodies (op_ut lines, python benchmarks, and pytest blocks).
- Parse E2E test case details like Benchmark, Model, Phase, Dtype, AMP, Backend, Test Type, and Cudagraph.
- Generate an Excel file with sheets: Issues, Test Cases, and E2E Test Cases.
Quick Start
Run the Python script in this skill's directory to generate torch_xpu_ops_issues.xlsx.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Issue Basic Info Extraction Download link: https://github.com/daisyden/ai_for_validation/archive/main.zip#issue-basic-info-extraction Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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