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Codex Bug

  • 1 installs
  • Updated May 4, 2026
  • manaflow-ai/codex

Diagnoses openai/codex GitHub bug reports, verifying against the repo via the GitHub API and deciding whether to verify, request more info, or explain why it is not a bug.

About

A workflow for triaging Codex GitHub bug reports using the GitHub API as source of truth. A developer uses it when given an openai/codex issue URL to decide next steps.

  • Uses GitHub API for issue and comments over noisy HTML
  • Decides between verify, request info, or not-a-bug

Codex Bug by the numbers

  • 1 all-time installs (skills.sh)
  • Ranked #488 of 597 Debugging skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/manaflow-ai/codex --skill codex-bug

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Installs1
Last updatedMay 4, 2026
Repositorymanaflow-ai/codex

What it does

Diagnoses openai/codex GitHub bug reports, verifying against the repo via the GitHub API and deciding whether to verify, request more info, or explain why it is not a bug.

Files

SKILL.mdMarkdownGitHub ↗

Codex Bug

Overview

Diagnose a Codex GitHub bug report and decide the next action: verify against sources, request more info, or explain why it is not a bug.

Workflow

1. Confirm the input

  • Require a GitHub issue URL that points to github.com/openai/codex/issues/….
  • If the URL is missing or not in the right repo, ask the user for the correct link.

2. Network access

  • Always access the issue over the network immediately, even if you think access is blocked or unavailable.
  • Prefer the GitHub API over HTML pages because the HTML is noisy:
  • Issue: https://api.github.com/repos/openai/codex/issues/<number>
  • Comments: https://api.github.com/repos/openai/codex/issues/<number>/comments
  • If the environment requires explicit approval, request it on demand via the tool and continue without additional user prompting.
  • Only if the network attempt fails after requesting approval, explain what you can do offline (e.g., draft a response template) and ask how to proceed.

3. Read the issue

  • Use the GitHub API responses (issue + comments) as the source of truth rather than scraping the HTML issue page.
  • Extract: title, body, repro steps, expected vs actual, environment, logs, and any attachments.
  • Note whether the report already includes logs or session details.
  • If the report includes a thread ID, mention it in the summary and use it to look up the logs and session details if you have access to them.

4. Summarize the bug before investigating

  • Before inspecting code, docs, or logs in depth, write a short summary of the report in your own words.
  • Include the reported behavior, expected behavior, repro steps, environment, and what evidence is already attached or missing.

5. Decide the course of action

  • Verify with sources when the report is specific and likely reproducible. Inspect relevant Codex files (or mention the files to inspect if access is unavailable).
  • Request more information when the report is vague, missing repro steps, or lacks logs/environment.
  • Explain not a bug when the report contradicts current behavior or documented constraints (cite the evidence from the issue and any local sources you checked).

6. Respond

  • Provide a concise report of your findings and next steps.

Related skills

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