What problem does it solve? Triage of incoming bug reports for the openai/codex repository is time-consuming: maintainers must fetch issue details, assess reproducibility, and decide whether to investigate, request more information, or close the report as not a bug. This Skill automates that diagnostic workflow. ## Core Features & Use Cases - Issue Retrieval via GitHub API: Fetches the issue body and comments from api.github.com/repos/openai/codex as the source of truth, avoiding noisy HTML scraping. - Structured Triage Decision: Summarizes the report (repro steps, expected vs actual behavior, environment, logs) and decides between verifying against sources, requesting more information, or explaining why it is not a bug. - Use Case: A maintainer receives a link to a vague bug report about Codex CLI crashes. The Skill pulls the issue and comments, notes that logs and environment details are missing, and drafts a request for the specific information needed to reproduce the problem. ## Quick Start Analyze this GitHub issue from openai/codex and tell me whether to verify it, ask for more info, or explain why it is not a bug: https://github.com/openai/codex/issues/1234