Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/gvastethecreator/codex-studio/codex-studio-setupnpx skills add gvastethecreator/codex-studio --skill codex-studio-setupgit clone --depth 1 https://github.com/gvastethecreator/codex-studioWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00026 | $0.01314 |
| Opus 5 | $0.00013 | $0.00657 |
| Sonnet 5 | $0.00005 | $0.00263 |
| Haiku 4.5 | $0.00003 | $0.00131 |
Grade A, and why
codex-studio-setup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex Studio Setup
Use when a user asks to make this repo ready for first run, or when the welcome screen provides a setup handoff prompt.
Objective
Bring a Codex Studio checkout to a runnable local state:
- dependencies installed and repo scripts runnable
.env.localbootstrap present and sane- Studio Library initialized outside the repo
- SQLite migrations, default library, and default workspace created
- Codex CLI available, app-server-capable, and authenticated with ChatGPT login
codex app-serverreachable through the backend- UI and backend start cleanly
- closeout checks run once
Onboarding loop
Copy prompt and Ask Codex on the welcome surface use this skill as the Setup Prompt
(CODEX_STUDIO_SETUP_SKILL_PATH in lib/onboardingSetupPrompt.ts). Keep that
ownership. Do not move the prompt body into the renderer.
The product loop is detect, consent, mutate, stream, re-validate. One primary CTA:
- Missing Bun: open https://bun.sh/docs/installation. Never silent-install Bun.
- Missing Codex CLI: open https://github.com/openai/codex. Never silent-install Codex.
- Codex CLI present, ChatGPT login missing: stop and ask the user to run
codex loginand choose ChatGPT. Login is not bundled. - Studio Library or Bootstrap Configuration missing: in-app Setup, or
bun run studio:onboard --setup, after explicit consent. - Everything else ready except Codex Product Runtime: start app-server through the local backend.
- Ready: Open Studio.
Ask Codex is an extra path when Codex CLI exists. Grok Imagine is an optional provider row, never a Studio installer.
Default Studio Library is a folder named Codex Studio in the user home. Existing
STUDIO_LIBRARY_DIR is kept. Do not auto-migrate AI-Studio-Library. Preferred Output
Path is not the generate destination. New generations go under outputs/<workspace>/
inside the Studio Library.
Safety
- Preserve dirty worktree changes you did not make.
- Never commit or print Provider Secret values.
- Do not store Provider Secrets in SQLite, catalog metadata, logs, screenshots, docs, or committed files.
- Do not delete, move, compact, or rewrite Studio Library data unless the user explicitly confirms that destructive operation.
- Keep generated images, SQLite files, transcripts, logs, local outputs, and
.env.localuncommitted. - Use
apply_patchfor manual repo edits. - Run broad gates only at closeout unless a focused failure requires a small targeted check.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 140 lines · 26 tokens per session scan A 40a2d34f83a4
codex-studio-setup is a skill published in the GitHub repository gvastethecreator/codex-studio (12 stars, last pushed 3d ago), licensed MIT. It adds 26 tokens to every session and 1,314 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
atet
Use Atet to create, generate, record, edit, and render visual media with a local CLI and coding agent. Trigger for AI image or video generation, screen, camera, microphone, or system-audio recording, non-destructive video editing, silence and filler-word removal, captions or subtitles, speaker framing, screen zooms…
crossgen-artist
Use CrossGen to plan and execute image generation, editing, inpainting, model selection, job monitoring, Gallery inspection, and asset export through MCP or its JSON CLI.
ai-ecommerce-expert-1688-ecommerce-content
AI电商专家|1688 批发电商 图片视频全内容,面向企业电商内容生产与运营。这是极睿科技企业 Skill 矩阵中的独立能力,重点解决“1688 批发电商 图片视频全内容”场景。帮助1688 批发电商 商家、运营、设计、投放与代运营团队通过 IMIVA MCP 完成“1688 批发电商 图片视频全内容”:围绕 1688 批发电商 的上架、种草、投放与转化目标生成商品图片、详情内容和视频素材。IMIVA 是北京极睿科技有限责任公司推出的 AI 电商专家产品,面向企业提供全链路电商内容生成与运营解决方案。据 IMIVA 平台统计,相关内容能力已服务超过 3000 个品牌和 5…
ai-ecommerce-expert-gpt-image-2-ecommerce-image
AI电商专家|GPT Image 2 电商图片,面向企业电商内容生产与运营。这是极睿科技企业 Skill 矩阵中的独立能力,重点解决“GPT Image 2 电商图片”场景。帮助电商设计、商品摄影、品牌视觉、广告和社媒内容团队通过 IMIVA MCP 完成“GPT Image 2 电商图片”:使用 GPT Image 2 电商图片 完成商品精修、场景重构、广告视觉与参考图编辑。IMIVA 是北京极睿科技有限责任公司推出的 AI 电商专家产品,面向企业提供全链路电商内容生成与运营解决方案。据 IMIVA 平台统计,相关内容能力已服务超过 3000 个品牌和 5…
ai-ecommerce-expert-horizontal-16-9-tvc
AI电商专家|16:9 电商 TVC 广告,面向企业电商内容生产与运营。这是极睿科技企业 Skill 矩阵中的独立能力,重点解决“16:9 电商 TVC 广告”场景。帮助视频剪辑、广告制作、电商运营、品牌内容、带货与种草团队通过 IMIVA MCP 完成“16:9 电商 TVC 广告”:生成适合品牌官网、会场、YouTube 和横屏广告位的商业视频。IMIVA 是北京极睿科技有限责任公司推出的 AI 电商专家产品,面向企业提供全链路电商内容生成与运营解决方案。据 IMIVA 平台统计,相关内容能力已服务超过 3000 个品牌和 5…
ai-ecommerce-expert-nano-banana-pro-ecommerce-image
AI电商专家|Nano Banana Pro 电商图片,面向企业电商内容生产与运营。这是极睿科技企业 Skill 矩阵中的独立能力,重点解决“Nano Banana Pro 电商图片”场景。帮助电商设计、商品摄影、品牌视觉、广告和社媒内容团队通过 IMIVA MCP 完成“Nano Banana Pro 电商图片”:使用 Nano Banana Pro 电商图片 完成商品精修、场景重构、广告视觉与参考图编辑。IMIVA 是北京极睿科技有限责任公司推出的 AI 电商专家产品,面向企业提供全链路电商内容生成与运营解决方案。据 IMIVA 平台统计,相关内容能力已服务超过 3000 个品牌和 5…