apimart-image-gen: Research & Knowledge for AI Agents | OpenAgentSkill

Overview

Generate and download images through APIMart's asynchronous GPT-Image-2 API. Use when Codex needs APIMart image generation, GPT-Image-2 text-to-image, image-to-image with reference URLs or local image files, 1k/2k/4k output, aspect-ratio control, task polling, or saving APIMart image results locally.

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APIMart Image Gen

Use this skill to submit GPT-Image-2 image jobs to APIMart, poll the async task result, and download returned image URLs.

Credential Rule

Read the API key from an environment variable. Do not hardcode API keys in prompts, scripts, skill files, zip packages, commits, or shell history.

Preferred variable:

export APIMART_API_KEY="..."

The helper also accepts APIMART_TOKEN as a fallback.

Quick Start

Use the bundled helper for normal requests:

python scripts/apimart_image_gen.py generate \
  --prompt "一只橘猫坐在窗台上看夕阳，水彩画风格" \
  --size "16:9" \
  --resolution "2k" \
  --output-dir ./outputs/apimart-image-gen

The script submits POST /v1/images/generations, waits before the first poll, queries GET /v1/tasks/{task_id}, and downloads completed image URLs into --output-dir.

Workflows

Text-to-image:

python scripts/apimart_image_gen.py generate \
  --prompt "a corgi astronaut on the moon, cinematic" \
  --size "16:9" \
  --resolution "2k"

Image-to-image with public URLs:

python scripts/apimart_image_gen.py generate \
  --prompt "把参考图变成水彩画风格" \
  --image-url "https://example.com/photo.jpg" \
  --size "4:3" \
  --resolution "2k"

Image-to-image with local files:

python scripts/apimart_image_gen.py generate \
  --prompt "融合这些参考图，生成一张公众号封面" \
  --image-file ./reference-a.png \
  --image-file ./reference-b.jpg \
  --size "21:9" \
  --resolution "2k"

Check an existing task:

python scripts/apimart_image_gen.py status \
  --task-id task_01KPQ7J7DWB7QZ3WCEK3YVPBRA \
  --download \
  --output-dir ./outputs/apimart-image-gen

Validate request shape without calling the API:

python scripts/apimart_image_gen.py generate \
  --prompt "星空下的古老城堡" \
  --size "16:9" \
  --resolution "4k" \
  --dry-run

Defaults And Limits

Model is fixed to gpt-image-2.
n is fixed to integer 1; do not send "1" as a string.
Valid resolution values are 1k, 2k, and 4k.
Valid ratio values are auto, 1:1, 3:2, 2:3, 4:3, 3:4, 5:4, 4:5, 16:9, 9:16, 2:1, 1:2, 3:1, 1:3, 21:9, and 9:21.
Pixel sizes such as 1881x836 or 887x1774 are also accepted.
Up to 16 reference images can be supplied across --image-url and --image-file.
Prefer putting aspect ratio in --size, not in the prompt, to avoid conflicting instructions.
Result URLs should be downloaded promptly because APIMart reports an expires_at timestamp.

Reference

Read references/api.md when you need endpoint details, status values, error handling, or the size/resolution map.

View source ↗

File metadata

name: apimart-image-gen
description: Generate and download images through APIMart's asynchronous GPT-Image-2 API. Use when Codex needs APIMart image generation, GPT-Image-2 text-to-image, image-to-image with reference URLs or local image files, 1k/2k/4k output, aspect-ratio control, task polling, or saving APIMart image results locally.

View original text

---
name: apimart-image-gen
description: Generate and download images through APIMart's asynchronous GPT-Image-2 API. Use when Codex needs APIMart image generation, GPT-Image-2 text-to-image, image-to-image with reference URLs or local image files, 1k/2k/4k output, aspect-ratio control, task polling, or saving APIMart image results locally.
---

# APIMart Image Gen

Use this skill to submit GPT-Image-2 image jobs to APIMart, poll the async task result, and download returned image URLs.

## Credential Rule

Read the API key from an environment variable. Do not hardcode API keys in prompts, scripts, skill files, zip packages, commits, or shell history.

Preferred variable:

```bash
export APIMART_API_KEY="..."
```

The helper also accepts `APIMART_TOKEN` as a fallback.

## Quick Start

Use the bundled helper for normal requests:

```bash
python scripts/apimart_image_gen.py generate \
  --prompt "一只橘猫坐在窗台上看夕阳，水彩画风格" \
  --size "16:9" \
  --resolution "2k" \
  --output-dir ./outputs/apimart-image-gen
```

The script submits `POST /v1/images/generations`, waits before the first poll, queries `GET /v1/tasks/{task_id}`, and downloads completed image URLs into `--output-dir`.

## Workflows

Text-to-image:

```bash
python scripts/apimart_image_gen.py generate \
  --prompt "a corgi astronaut on the moon, cinematic" \
  --size "16:9" \
  --resolution "2k"
```

Image-to-image with public URLs:

```bash
python scripts/apimart_image_gen.py generate \
  --prompt "把参考图变成水彩画风格" \
  --image-url "https://example.com/photo.jpg" \
  --size "4:3" \
  --resolution "2k"
```

Image-to-image with local files:

```bash
python scripts/apimart_image_gen.py generate \
  --prompt "融合这些参考图，生成一张公众号封面" \
  --image-file ./reference-a.png \
  --image-file ./reference-b.jpg \
  --size "21:9" \
  --resolution "2k"
```

Check an existing task:

```bash
python scripts/apimart_image_gen.py status \
  --task-id task_01KPQ7J7DWB7QZ3WCEK3YVPBRA \
  --download \
  --output-dir ./outputs/apimart-image-gen
```

Validate request shape without calling the API:

```bash
python scripts/apimart_image_gen.py generate \
  --prompt "星空下的古老城堡" \
  --size "16:9" \
  --resolution "4k" \
  --dry-run
```

## Defaults And Limits

- Model is fixed to `gpt-image-2`.
- `n` is fixed to integer `1`; do not send `"1"` as a string.
- Valid `resolution` values are `1k`, `2k`, and `4k`.
- Valid ratio values are `auto`, `1:1`, `3:2`, `2:3`, `4:3`, `3:4`, `5:4`, `4:5`, `16:9`, `9:16`, `2:1`, `1:2`, `3:1`, `1:3`, `21:9`, and `9:21`.
- Pixel sizes such as `1881x836` or `887x1774` are also accepted.
- Up to 16 reference images can be supplied across `--image-url` and `--image-file`.
- Prefer putting aspect ratio in `--size`, not in the prompt, to avoid conflicting instructions.
- Result URLs should be downloaded promptly because APIMart reports an `expires_at` timestamp.

## Reference

Read `references/api.md` when you need endpoint details, status values, error handling, or the size/resolution map.

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: Unknown

License is unclear
Dependency or permission surface needs review
Permission surface may require sandboxing
No license file or license metadata is present; GitHub reports the repository license as Unknown, so reuse terms are unclear.
The script accepts --image-file paths that are uploaded to APIMart; it should validate that referenced files are images and not arbitrary readable files.
Downloaded image URLs should be strictly limited to http/https and output filenames should be sanitized to avoid path traversal or local-file access.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
License clarity: Unknown
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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Source & usage notes

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: kangarooking/kangarooking-skills
License: Unknown
Version: 1.0.0
Last GitHub push: Aug 31, 2026
Registry updated: Sep 4, 2026
Instruction path: apimart-image-gen/SKILL.md @ a2bf7744fafc

Version reported in registry metadata; check source releases before relying on it.

Quality

69/100

Promising

Trust

55/100

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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}

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Source: kangarooking/kangarooking-skills
Indexed by: OpenAgentSkill community index

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