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Driving Codex

Agent skill
1 skill

Drives the OpenAI Codex CLI (codex exec) as a headless worker from Claude Code — direct Bash calls, Agent-tool subagents, and Workflow scripts where every agent() is a sonnet wrapper whose Bash runs codex. PURPOSE cut, decide by binary: configuring the claude harness itself (hooks, settings.json, Workflow tool semantics, subagent policy) → operating-the-harness; the codex subprocess → here. Anthropic API/model facts → claude-api; prompt wording craft → prompting-llms. Use when embedding codex/GPT into a pipeline (sonnet draft → codex audit, heterogeneous cross-vendor verification), probing which GPT models an account can run when the model picker or cache disagrees, choosing --sandbox / --skip-git-repo-check / modelreasoningeffort flags, parsing --json usage or --output-last-message, codex spend / モデル使い分け・コスト比較 (ccusage), or unsticking a hanging or failing codex exec. Triggers: codex exec, Codex CLI, gpt-5.6, sol/terra/luna, ultra/max effort, codex に並列サブエージェント, modelscache, codex を workflow に組み込む, codex で監査, GPT にもレビューさせて, 異種モデル検証, モデルが一覧に出ない. LAW: the local model cache is a delivery snapshot, not the catalog — availability is a probe exit code, never memory or the picker; least-privilege sandbox always (danger-full-access only in isolated runners). Workflow-native: model/effort/sandbox/prompt choices and cross-model disagreement adjudication stay SOLO; parallel codex calls fan out one sonnet worker each. English skill; respond in the user's language (default Japanese).

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Skill stats

Skills1CategoryDeveloper toolsStars0

About this skill

Drives the OpenAI Codex CLI (codex exec) as a headless worker from Claude Code — direct Bash calls, Agent-tool subagents, and Workflow scripts where every agent() is a sonnet wrapper whose Bash runs codex. PURPOSE cut, decide by binary: configuring the claude harness itself (hooks, settings.json, Workflow tool semantics, subagent policy) → operating-the-harness; the codex subprocess → here. Anthropic API/model facts → claude-api; prompt wording craft → prompting-llms. Use when embedding codex/GPT into a pipeline (sonnet draft → codex audit, heterogeneous cross-vendor verification), probing which GPT models an account can run when the model picker or cache disagrees, choosing --sandbox / --skip-git-repo-check / modelreasoningeffort flags, parsing --json usage or --output-last-message, codex spend / モデル使い分け・コスト比較 (ccusage), or unsticking a hanging or failing codex exec. Triggers: codex exec, Codex CLI, gpt-5.6, sol/terra/luna, ultra/max effort, codex に並列サブエージェント, modelscache, codex を workflow に組み込む, codex で監査, GPT にもレビューさせて, 異種モデル検証, モデルが一覧に出ない. LAW: the local model cache is a delivery snapshot, not the catalog — availability is a probe exit code, never memory or the picker; least-privilege sandbox always (danger-full-access only in isolated runners). Workflow-native: model/effort/sandbox/prompt choices and cross-model disagreement adjudication stay SOLO; parallel codex calls fan out one sonnet worker each. English skill; respond in the user's language (default Japanese).

Quick start

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  3. Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 78a69a7c300dee12cfb5f6ec5f6252671b852a3025a8bd875abe5234299a9a06

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About this listing

Category
Developer tools
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Driving Codex | Agent Skills Atlas