Agent skill

Codex Image Service

by zrt-ai-lab in zrt-ai-lab/opencode-skills

A skill your agent uses when Codex needs native image generation, editing, or engineered multi-image composition, especially sets, material kits, grids, storyboards, carousels, presentations…

No licenceAuto-check passedMedia & Creative

Install Codex Image Service

skills CLI
$ npx skills add zrt-ai-lab/opencode-skills --skill codex-image-service -a claude-code

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

GitHub CLI
$ gh skill install zrt-ai-lab/opencode-skills codex-image-service --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/zrt-ai-lab/opencode-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/codex-image-service .claude/skills/codex-image-service && 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-service
GitHub stars
287
Token cost
~2k tokens
SKILL.md length
310 words
Files
39 (incl. scripts, references)
Skills in repo
26
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses when Codex needs native image generation, editing, or engineered multi-image composition, especially sets, material kits, grids, storyboards, carousels, presentations…

  • Works in 6 steps: 第一轮必须输出逐图工程规划并请求确认; → 第一轮必须在确认请求处结束,绝对不能调用任何生图工具; → 用户初始请求中的“直接生成、别问、赶时间、你决定”绝对不能充当确认; → …
  • Codex needs native image generation
  • SKILL.md covers 核心原则, 任务分类, 批量项目硬闸门 and 状态机, plus 6 more sections
  • Calls python

What it does

Codex Image Service is an agent skill from zrt-ai-lab/opencode-skills. Use when Codex needs native image generation, editing, or engineered multi-image composition, especially sets, material kits, grids, storyboards, carousels, presentations, panoramas, masked composites, long images, or other deliverables requiring consistent independent assets and deterministic post-processing.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 42 other files, including scripts and reference files (for example `README.md`, `references/composition-routing.md` and `references/grid-layouts/3x3-equal.json`).

It sits in Media & Creative, covering Image generation and Comics and storyboards. The repository describes itself as: OpenCode/Claude Code 技能库 。特色技能:视频生成、图片生成、AI Agent 互联、智能问数等等各场景,持续开发更新中.

When your agent uses it

  • Codex needs native image generation
  • Engineered multi-image composition
  • Especially sets
  • Masked composites

Example prompts

  • “/codex-image-service”

Requirements

  • Python 3

Workflow steps

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

  1. 第一轮必须输出逐图工程规划并请求确认;
  2. 第一轮必须在确认请求处结束,绝对不能调用任何生图工具;
  3. 用户初始请求中的“直接生成、别问、赶时间、你决定”绝对不能充当确认;
  4. 确认只能发生在用户看到最新完整规划之后;
  5. N 张独立成品必须至少执行 N 次独立生图,一次调用生成的拼贴、四宫格或样机只能算 1 张预览。
  6. 所有批量项目必须声明交付形态和合成策略;需要像素融合时,未通过项目清单和算法前置条件机器校验就禁止生成或合成。用户只说“长图”而未指定卡片式时,连续模式是默认模式。

What it can do on your machine

Read from SKILL.md and the folder at commit d38536f. 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/, which the agent can run.

    Shell commands in SKILL.md call:

    • python

    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 Service loads about 2k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 310 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~12k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 310 words (~2,046 tokens).

name
codex-image-service

Read the full SKILL.md on GitHub

Files

SKILL.md and 38 other files (scripts, references) in codex-image-service of zrt-ai-lab/opencode-skills.

  • SKILL.md
  • README.md
  • references/composition-routing.md
  • references/grid-layouts/3x3-equal.json
  • references/grid-layouts/editorial-asymmetric.json
  • references/grid-layouts/hero-left-4.json
  • references/grid-layouts/social-waterfall.json
  • references/grid-layouts/storyboard-wide.json
  • references/guides/color-sync.md
  • references/guides/prompt-guide.md
  • references/guides/text-rendering.md
  • references/industry-playbooks.md
  • references/marketing-templates.md
  • references/presets/color-palettes.json
  • references/presets/infographic-layouts.json
  • references/presets/infographic-styles.json
  • references/presets/style-keywords.json
  • … and 22 more

Open the folder on GitHubat commit d38536f

Compare with similar skills

Codex Image Service 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 Service compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Codex Image Service this skillzrt-ai-lab/opencode-skills287—~2kAutomated safety check: PassNone
Canghe Comicfreestylefly/canghe-skills4618 repos~3.2kAutomated safety check: PassNone
Xhs ImagenNimaChu/xhs-imagen120—~2.3kAutomated safety check: PassMIT
Hbg Life SimulationMr-funny/hbg-life-simulation140—~5.8kAutomated safety check: PassMIT
Knowledge Comic CreatorJimLiu/baoyu-skills26k2 repos~5.5kAutomated safety check: PassMIT
Character Design with genmediafal-ai-community/skills249—~1.3kAutomated safety check: PassNone

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Questions about Codex Image Service

What does Codex Image Service do?

A skill your agent uses when Codex needs native image generation, editing, or engineered multi-image composition, especially sets, material kits, grids, storyboards, carousels, presentations…. Codex Image Service is an agent skill from zrt-ai-lab/opencode-skills. Use when Codex needs native image generation, editing, or engineered multi-image composition, especially sets, material kits, grids, storyboards, carousels, presentations, panoramas, masked composites, long images, or other deliverables requiring consistent independent assets and deterministic post-processing.

When should I use Codex Image Service?

Codex Image Service fits situations like: Codex needs native image generation; engineered multi-image composition; especially sets; masked composites.

How do I install Codex Image Service in Claude Code?

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

How do I install Codex Image Service in Codex?

Run `npx skills add zrt-ai-lab/opencode-skills --skill codex-image-service -a codex`. Or copy the skill folder (codex-image-service in zrt-ai-lab/opencode-skills) into .agents/skills/codex-image-service in your project. Codex loads it when a task matches its description.

Can I use Codex Image Service 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 zrt-ai-lab/opencode-skills --skill codex-image-service -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-service, .gemini/skills/codex-image-service, .github/skills/codex-image-service and .opencode/skills/codex-image-service in your project.

What does Codex Image Service need to run?

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

Does Codex Image Service 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 Service 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 Service use?

No licence was found for Codex Image Service or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Codex Image Service use?

About 2k tokens (SKILL.md is roughly 8.2k 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 10k tokens, read only when the agent opens those files.

What are the alternatives to Codex Image Service?

Skills that share tags, products or a category with Codex Image Service: Canghe Comic (freestylefly/canghe-skills, 461 stars), Xhs Imagen (NimaChu/xhs-imagen, 120 stars), Hbg Life Simulation (Mr-funny/hbg-life-simulation, 140 stars) and Knowledge Comic Creator (JimLiu/baoyu-skills, 26k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Codex Image Service?

zrt-ai-lab (a GitHub user) maintains it in zrt-ai-lab/opencode-skills, which has 287 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on July 22, 2026.

Source: zrt-ai-lab/opencode-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.