AI Image Generation and Editing
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
Для генерации и редактирования изображений и макетов. An agent skill from SteelMorgan/1c-agent-based-dev-framework.
Install Codex Image Gen
$ npx skills add SteelMorgan/1c-agent-based-dev-framework --skill codex-image-gen -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install SteelMorgan/1c-agent-based-dev-framework codex-image-gen --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/SteelMorgan/1c-agent-based-dev-framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/framework/skills/tool-usage/content-generation/codex-image-gen .claude/skills/codex-image-gen && rm -rf skills-srcUse ~/.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/
Install the "codex-image-gen" agent skill from https://github.com/SteelMorgan/1c-agent-based-dev-framework/tree/main/framework/skills/tool-usage/content-generation/codex-image-gen into .claude/skills/codex-image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-image-gen", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/SteelMorgan/1c-agent-based-dev-framework/tree/main/framework/skills/tool-usage/content-generation/codex-image-genType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add SteelMorgan/1c-agent-based-dev-framework --skill codex-image-gen -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install SteelMorgan/1c-agent-based-dev-framework codex-image-gen --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SteelMorgan/1c-agent-based-dev-framework.git skills-src && mkdir -p .agents/skills && cp -r skills-src/framework/skills/tool-usage/content-generation/codex-image-gen .agents/skills/codex-image-gen && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "codex-image-gen" agent skill from https://github.com/SteelMorgan/1c-agent-based-dev-framework/tree/main/framework/skills/tool-usage/content-generation/codex-image-gen into .agents/skills/codex-image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-image-gen", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add SteelMorgan/1c-agent-based-dev-framework --skill codex-image-gen -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install SteelMorgan/1c-agent-based-dev-framework codex-image-gen --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SteelMorgan/1c-agent-based-dev-framework.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/framework/skills/tool-usage/content-generation/codex-image-gen .cursor/skills/codex-image-gen && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "codex-image-gen" agent skill from https://github.com/SteelMorgan/1c-agent-based-dev-framework/tree/main/framework/skills/tool-usage/content-generation/codex-image-gen into .cursor/skills/codex-image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-image-gen", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/SteelMorgan/1c-agent-based-dev-framework.git --path framework/skills/tool-usage/content-generation/codex-image-gen--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add SteelMorgan/1c-agent-based-dev-framework --skill codex-image-gen -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install SteelMorgan/1c-agent-based-dev-framework codex-image-gen --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SteelMorgan/1c-agent-based-dev-framework.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/framework/skills/tool-usage/content-generation/codex-image-gen .gemini/skills/codex-image-gen && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "codex-image-gen" agent skill from https://github.com/SteelMorgan/1c-agent-based-dev-framework/tree/main/framework/skills/tool-usage/content-generation/codex-image-gen into .gemini/skills/codex-image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-image-gen", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install SteelMorgan/1c-agent-based-dev-framework codex-image-genInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add SteelMorgan/1c-agent-based-dev-framework --skill codex-image-gen -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/SteelMorgan/1c-agent-based-dev-framework.git skills-src && mkdir -p .github/skills && cp -r skills-src/framework/skills/tool-usage/content-generation/codex-image-gen .github/skills/codex-image-gen && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "codex-image-gen" agent skill from https://github.com/SteelMorgan/1c-agent-based-dev-framework/tree/main/framework/skills/tool-usage/content-generation/codex-image-gen into .github/skills/codex-image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-image-gen", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add SteelMorgan/1c-agent-based-dev-framework --skill codex-image-gen -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install SteelMorgan/1c-agent-based-dev-framework codex-image-gen --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/SteelMorgan/1c-agent-based-dev-framework.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/framework/skills/tool-usage/content-generation/codex-image-gen .opencode/skills/codex-image-gen && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "codex-image-gen" agent skill from https://github.com/SteelMorgan/1c-agent-based-dev-framework/tree/main/framework/skills/tool-usage/content-generation/codex-image-gen into .opencode/skills/codex-image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "codex-image-gen", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
codex-image-gen- GitHub stars
- 115
- Token cost
- ~1.8k tokens
- SKILL.md length
- 744 words
- Files
- 3 (incl. scripts, references)
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Для генерации и редактирования изображений и макетов. An agent skill from SteelMorgan/1c-agent-based-dev-framework.
- Works in 3 steps: Wrapper вернул status: ok + список… → Открой картинку (или попроси… → Если результат подошёл — упомяни путь к…
- Tasks that involve Image generation
- SKILL.md covers Когда применять, Когда НЕ применять, Анти-паттерны and Как вызывать, plus 4 more sections
- Runs Python scripts from its folder; calls codex
What it does
Codex Image Gen is an agent skill from SteelMorgan/1c-agent-based-dev-framework. Для генерации и редактирования изображений и макетов
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/prompt-guide.md` and `scripts/codex_image_gen.py`).
It sits in Media & Creative, covering Image generation. The repository describes itself as: Фреймворк агентной разработки на 1С.
When your agent uses it
- Tasks that involve Image generation
Example prompts
- “/codex-image-gen”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Wrapper вернул status: ok + список файлов → проверь ls tasks//assets/ (stat достаточно). Если файла нет — это status: error независимо от…
- Открой картинку (или попроси пользователя), сравни с промтом по осям: сюжет/композиция/стиль/свет/фон/ограничения. Если расхождение по 1-2…
- Если результат подошёл — упомяни путь к файлу в ответе пользователю. Если файл предназначен для документа задачи (спека, ADR, README)…
What it can do on your machine
Read from SKILL.md and the folder at commit 8d188b3. 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
Ships 1 file in scripts/ (Python), which the agent can run.
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 Gen loads about 1.8k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 17 tokens; SKILL.md has 744 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 744 words (~1,794 tokens).
“Тонкая обёртка над Codex CLI для генерации и редактирования растровых изображений. Claude/Opus как primary agent не умеет рисовать картинки — поэтому при появлении такой задачи нужно явно делегировать её Codex'у через wrapper, описанный ниже. Это не review-сценарий: image_gen действительно создаёт…”
- name
- codex-image-gen
- capabilities
- content-generation,image-generation,cross-provider,delegation
Files
SKILL.md and 2 other files (scripts, references) in framework/skills/tool-usage/content-generation/codex-image-gen of SteelMorgan/1c-agent-based-dev-framework.
- SKILL.md
- references/prompt-guide.md
- scripts/codex_image_gen.py
Open the folder on GitHubat commit 8d188b3
Compare with similar skills
Codex Image Gen 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Codex Image Gen this skillSteelMorgan/1c-agent-based-dev-framework | 115 | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Structured Image Generationbytedance/deer-flow | 84k | 4 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Canghe Comicfreestylefly/canghe-skills | 461 | 8 repos | ~3.2k | Automated safety check: Pass | None | |
| Generate Imageynulihao/AgentSkillOS | 618 | 10 repos | ~1.7k | Automated safety check: Notes | None | |
| GPT Image Generation CLIwuyoscar/GPT-Image2-Skill | 5.7k | — | ~2.5k | Automated safety check: Notes | MIT |
Similar skills
Structured Image Generation
bytedance/deer-flow
Turns an image request into a structured JSON prompt and runs a bundled Python script to generate the picture, optionally guided by reference images.
Canghe Comic
freestylefly/canghe-skills
Knowledge comic creator supporting multiple art styles and tones.
Generate Image
ynulihao/AgentSkillOS
Generate or edit images using AI models (FLUX, Gemini). An agent skill from ynulihao/AgentSkillOS.
GPT Image Generation CLI
wuyoscar/GPT-Image2-Skill
Generates and edits images with GPT Image 2 or 2.5 through a packaged CLI and a prompt gallery, after settling which model fits the request.
Minimal Zine Poster Generator
LiamGvchi/gc-minimal-zine-poster
Creates or analyzes quiet, paper-texture zine posters with big negative space, one color accent and experimental type, returning an image prompt and the generated poster.
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Related
Categories
Questions about Codex Image Gen
What does Codex Image Gen do?
Для генерации и редактирования изображений и макетов. An agent skill from SteelMorgan/1c-agent-based-dev-framework. Codex Image Gen is an agent skill from SteelMorgan/1c-agent-based-dev-framework.
When should I use Codex Image Gen?
Codex Image Gen fits situations like: tasks that involve Image generation.
How do I install Codex Image Gen in Claude Code?
Run `npx skills add SteelMorgan/1c-agent-based-dev-framework --skill codex-image-gen -a claude-code`. Or copy the skill folder (framework/skills/tool-usage/content-generation/codex-image-gen in SteelMorgan/1c-agent-based-dev-framework) into .claude/skills/codex-image-gen in your project. Claude Code loads it when a task matches its description.
How do I install Codex Image Gen in Codex?
Run `npx skills add SteelMorgan/1c-agent-based-dev-framework --skill codex-image-gen -a codex`. Or copy the skill folder (framework/skills/tool-usage/content-generation/codex-image-gen in SteelMorgan/1c-agent-based-dev-framework) into .agents/skills/codex-image-gen in your project. Codex loads it when a task matches its description.
Can I use Codex Image Gen 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 SteelMorgan/1c-agent-based-dev-framework --skill codex-image-gen -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-gen, .gemini/skills/codex-image-gen, .github/skills/codex-image-gen and .opencode/skills/codex-image-gen in your project.
What does Codex Image Gen need to run?
Going by SKILL.md and its folder, Codex Image Gen needs Python for the scripts in its folder and the command-line tools its instructions call (codex). Our summary lists: Python 3.
Does Codex Image Gen 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 Gen 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Codex Image Gen use?
Codex Image Gen has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Codex Image Gen use?
About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.5k tokens, read only when the agent opens those files.
What are the alternatives to Codex Image Gen?
Skills that share tags, products or a category with Codex Image Gen: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Structured Image Generation (bytedance/deer-flow, 84k stars), Canghe Comic (freestylefly/canghe-skills, 461 stars) and Generate Image (ynulihao/AgentSkillOS, 618 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Codex Image Gen?
SteelMorgan (a GitHub user) maintains it in SteelMorgan/1c-agent-based-dev-framework, which has 115 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 30, 2026.
Source: SteelMorgan/1c-agent-based-dev-framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.