Agent skill

Codex Image

by byungjunjang in byungjunjang/slide-master

Generate images via Codex CLI's built-in imagegen tool (gpt-image-2).

MITAuto-check passedMedia & Creative

Install Codex Image

skills CLI
$ npx skills add byungjunjang/slide-master --skill codex-image -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install byungjunjang/slide-master codex-image --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/byungjunjang/slide-master.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/codex-image .claude/skills/codex-image && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
codex-image
GitHub stars
277
Token cost
~401 tokens
SKILL.md length
158 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

Generate images via Codex CLI's built-in imagegen tool (gpt-image-2).

  • Works in 4 steps: Read .claude/skills/codex-image/SKILL.md… → Resolve paths: treat ${SKILL_DIR} as… → Run all commands from the repository… → …
  • Tasks that involve Image generation
  • Calls codex

What it does

Codex Image is an agent skill from byungjunjang/slide-master. Generate images via Codex CLI's built-in imagegen tool (gpt-image-2). OAuth auth — no API key needed. Codex CLI의 내장 imagegen 도구로 이미지 생성. OAuth 인증으로 API 키 불필요. Usage: /codex-image cherry blossom hanok, /codex-image --size 1024x1536 space cat, /codex-image --quality high seoul night

Its SKILL.md is about 400 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative, covering Image generation. It works with Python. The repository describes itself as: AI 에이전트가 PowerPoint에서 진짜 편집되는 네이티브 PPTX를 만드는 워크플로우. The licence is MIT.

When your agent uses it

  • Tasks that involve Image generation

Example prompts

  • “/codex-image”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Read .claude/skills/codex-image/SKILL.md (repo-root relative) in full and execute it
  2. Resolve paths: treat ${SKILL_DIR} as .claude/skills/codex-image. Bare relative paths
  3. Run all commands from the repository root. On Windows installs without
  4. Codex adaptation: the canonical skill was written for Claude Code, which

What it can do on your machine

Read from SKILL.md and the folder at commit f2d9fef. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • codex

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Codex Image loads about 401 tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 158 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~401

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from byungjunjang/slide-master at commit f2d9fef, republished under its MIT licence (© byungjunjang). 158 words, ~401 tokens.

Download SKILL.mdSave it as .claude/skills/codex-image/SKILL.md (or your agent's skills folder).
name
codex-image
description
Generate images via Codex CLI's built-in image_gen tool (gpt-image-2). OAuth auth — no API key needed. Codex CLI의 내장 image_gen 도구로 이미지 생성. OAuth 인증으로 API 키 불필요. Usage: /codex-image cherry blossom hanok, /codex-image --size 1024x1536 space cat, /codex-image --quality high seoul night

codex-image (Codex discovery stub)

This file is generated by sync_codex_stubs.py so Codex discovers the skill. The authoritative skill lives in this repository at .claude/skills/codex-image/ — a single source of truth shared by Claude Code and Codex. Do not hand-edit this stub; edit the canonical tree, then re-run:

python3 .claude/skills/ppt-master/scripts/sync_codex_stubs.py

On invocation:

  1. Read .claude/skills/codex-image/SKILL.md (repo-root relative) in full and execute it exactly as a runtime procedure.

  2. Resolve paths: treat ${SKILL_DIR} as .claude/skills/codex-image. Bare relative paths mentioned inside the skill (references/..., workflows/..., scripts/..., templates/...) resolve against that directory — never against .codex/skills/.

  3. Run all commands from the repository root. On Windows installs without python3.exe, rerun the same command with python.

  4. Codex adaptation: the canonical skill was written for Claude Code, which shells out through codex exec to reach image_gen. Inside Codex the image_gen tool is built in — call it directly with the same prompt/size/quality parameters instead of spawning a nested codex exec, and keep the skill's output-path conventions.

© byungjunjang, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .codex/skills/codex-image of byungjunjang/slide-master.

Open the folder on GitHubat commit f2d9fef

Compare with similar skills

Codex Image next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Codex Image compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Codex Image this skillbyungjunjang/slide-master277—~401Automated safety check: PassMIT
Stable Diffusion with DiffusersOrchestra-Research/AI-Research-SKILLs13k6 repos~3.2kAutomated safety check: PassMIT
Structured Image Generationbytedance/deer-flow83k5 repos~2.9kAutomated safety check: PassMIT
Gemini Imagetyrchen/geektime-bootcamp-ai2361 repos~1.1kAutomated safety check: PassNone
2D Sprite Generator0x0funky/agent-sprite-forge4.3k—~3.6kAutomated safety check: PassMIT
Whiteboard Videognipbao/codex-whiteboard-video-skill324—~7.2kAutomated safety check: NotesMIT

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Works with

Questions about Codex Image

What does Codex Image do?

Generate images via Codex CLI's built-in imagegen tool (gpt-image-2). Codex Image is an agent skill from byungjunjang/slide-master. Generate images via Codex CLI's built-in imagegen tool (gpt-image-2).

When should I use Codex Image?

Codex Image fits situations like: tasks that involve Image generation.

How do I install Codex Image in Claude Code?

Run `npx skills add byungjunjang/slide-master --skill codex-image -a claude-code`. Or copy the skill folder (.codex/skills/codex-image in byungjunjang/slide-master) into .claude/skills/codex-image in your project. Claude Code loads it when a task matches its description.

How do I install Codex Image in Codex?

Run `npx skills add byungjunjang/slide-master --skill codex-image -a codex`. Or copy the skill folder (.codex/skills/codex-image in byungjunjang/slide-master) into .agents/skills/codex-image in your project. Codex loads it when a task matches its description.

Can I use Codex Image in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add byungjunjang/slide-master --skill codex-image -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/codex-image, .gemini/skills/codex-image, .github/skills/codex-image and .opencode/skills/codex-image in your project.

What does Codex Image need to run?

Going by SKILL.md and its folder, Codex Image needs the command-line tools its instructions call (codex). Our summary lists: Python 3.

Does Codex Image access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Codex Image safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Codex Image use?

Codex Image is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Codex Image use?

About 401 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Codex Image?

Skills that share tags, products or a category with Codex Image: Stable Diffusion with Diffusers (Orchestra-Research/AI-Research-SKILLs, 13k stars), Structured Image Generation (bytedance/deer-flow, 83k stars), Gemini Image (tyrchen/geektime-bootcamp-ai, 236 stars) and 2D Sprite Generator (0x0funky/agent-sprite-forge, 4.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Codex Image?

byungjunjang (a GitHub user) maintains it in byungjunjang/slide-master, which has 277 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 30, 2026.

Source: byungjunjang/slide-master on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.