kangarooking

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apimart-image-gen

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 i

Examiner la sourceVoir sur GitHub
Prix non confirmé★ 587 Stars GitHubRegistre mis à jour · 19 sept. 2026agent-skill

Vue d’ensemble

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.

Lire la documentation complète

Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

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.

Métadonnées du fichier
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.
Voir le texte original
---
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.

Examiner la source

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Source à réexaminer

La source a changé ou sa synchronisation a échoué. Vérifiez-la avant installation.

Réviser avant installation: Éviter l’installation automatique

Licence: Inconnu

  • La licence est ambiguë
  • 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
Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

  1. 1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
  2. 2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
  3. 3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

Répertorié

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source
kangarooking/kangarooking-skills
Licence
Inconnu
Version
1.0.0
Dernier push GitHub
31 août 2026
Registre mis à jour
19 sept. 2026

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

66/100

Prometteur

Confiance

54/100

Do not auto-install

Audit

70/100

Revue nécessaire

  • La licence est ambiguë
  • 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
Verified installs
—
Résultats
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Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

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Plus de détails
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    "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.",
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      "installSafety": "standard package or runtime install path",
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      "documentation": "Strong README/SKILL.md context",
      "agentOutcomes": "No agent outcome data yet"
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}

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kangarooking
Indexé par
Index communautaire OpenAgentSkill

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Affichez la fiche canonique, les signaux actuels de confiance et d’audit, ainsi que de vraies preuves Agent-Proven là où les développeurs évaluent le dépôt.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/kangarooking-apimart-image-gen?metric=listed&label=Listed)](https://www.openagentskill.com/skills/kangarooking-apimart-image-gen?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/kangarooking-apimart-image-gen?metric=trust&label=Trust)](https://www.openagentskill.com/skills/kangarooking-apimart-image-gen?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/kangarooking-apimart-image-gen?metric=audit&label=Audit)](https://www.openagentskill.com/skills/kangarooking-apimart-image-gen/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/kangarooking-apimart-image-gen?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/kangarooking-apimart-image-gen?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

Signal de communauté

Indiquez si ce skill semble utile à votre workflow Agent. Les retours agrégés améliorent le classement au fil du temps.