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codex-bug

Diagnose GitHub bug reports in openai/codex. Use when given a GitHub issue URL from openai/codex and asked to decide next steps such as verifying against the repo, requesting more info, or explaining why it is not a bug; follow any additional user-provided instructions.

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Mis à jour8 avril 2026 à 02:20

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openai

openai/codex

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Analystes en assurance qualité des logiciels et testeursProfessions informatiques et mathématiques15-1253L4

SKILL.md

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name	codex-bug
description	Diagnose GitHub bug reports in openai/codex. Use when given a GitHub issue URL from openai/codex and asked to decide next steps such as verifying against the repo, requesting more info, or explaining why it is not a bug; follow any additional user-provided instructions.

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

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.

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.

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.

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.

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).

Respond

Provide a concise report of your findings and next steps.

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Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, valid manifest defaults, and personal-marketplace entries by default. Use when Codex needs to create a new personal plugin, add optional plugin structure, generate or update marketplace entries for plugin ordering and availability metadata, or update an existing local plugin during development with the CLI-driven cachebuster and reinstall flow.

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Update Codex's pinned `v8` / `rusty_v8` versions, validate the release-candidate path, and investigate failed V8 canary or artifact builds. Use when asked to bump V8, update `rusty_v8` artifacts, prepare or validate a V8 release candidate, check `v8-canary`, or diagnose why a V8 version update no longer builds.

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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

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.

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.

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.

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.

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).

Respond

Provide a concise report of your findings and next steps.