ClawHub

Free GPT Image 2

v1.0.0

GPT Image 2 generation and editing on PoYo / poyo.ai via `https://api.poyo.ai/api/generate/submit`; use for `gpt-image-2`, `gpt-image-2-edit`, text-to-image,...

⭐ 0· 72·0 current·0 all-time
by@coolhackboy

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for coolhackboy/poyo-gpt-image-2.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Free GPT Image 2" (coolhackboy/poyo-gpt-image-2) from ClawHub.
Skill page: https://clawhub.ai/coolhackboy/poyo-gpt-image-2
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: POYO_API_KEY
Required binaries: curl
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install poyo-gpt-image-2

ClawHub CLI

Package manager switcher

npx clawhub@latest install poyo-gpt-image-2
Security Scan
Capability signals
Requires sensitive credentials
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
VirusTotalVirusTotal
Benign
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OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
Name/description, required binary (curl), and required env var (POYO_API_KEY) align with a PoYo image-generation integration. Nothing requested is unrelated to submitting jobs to https://api.poyo.ai/api/generate/submit.
✓
Instruction Scope
SKILL.md confines runtime actions to building/submitting JSON payloads and reporting task_id, and points to references/api.md for examples. It does not instruct the agent to read arbitrary system files or unrelated credentials. It does allow use of callback_url (normal for webhooks) but does not direct data to unexpected third-party endpoints.
✓
Install Mechanism
This is instruction-only with a small shell script; there is no install spec, no downloads, and no archives being extracted. Risk from installation is minimal.
✓
Credentials
Only a single API key (POYO_API_KEY) is required, which is appropriate for an HTTP API integration. No unrelated secrets or config paths are requested.
✓
Persistence & Privilege
always:false and normal agent invocation are used. The skill does not request persistent/system-wide changes or access to other skills' configs. Autonomous invocation is allowed by default but not combined with other concerning behaviors.
Assessment
This skill appears to do exactly what it says: submit GPT Image 2 jobs to PoYo. Before installing, verify you trust poyo.ai and understand billing for 2K/4K outputs. Protect your POYO_API_KEY (do not paste it into prompts or public payloads). If you use callback_url, ensure it points to a domain you control to avoid accepting inbound webhooks from unknown sources. The included shell script submits whatever JSON you provide (stdin or a file), so avoid running it with untrusted payloads that might include sensitive data. If you do not want the agent to make network calls autonomously using your API key, consider disabling or restricting autonomous invocation for this skill in your agent settings.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

Binscurl
EnvPOYO_API_KEY
Primary envPOYO_API_KEY
latestvk97eg80czdcd2ajwqgty4x2x0585hwrp
72downloads
0stars
1versions
Updated 2d ago
v1.0.0
MIT-0
@coolhackboy
latest
Download

PoYo GPT Image 2 Generation and Editing

Use this skill for GPT Image 2 jobs on PoYo. It covers text-to-image generation, reference-image-guided generation, and multi-image editing payloads for gpt-image-2 and gpt-image-2-edit.

Use When

  • The user explicitly mentions GPT Image 2, gpt-image-2, or gpt-image-2-edit.
  • The task is text-to-image, image-to-image, or editing one or more supplied images.
  • The workflow needs broader aspect-ratio support, custom pixel size, or 1K / 2K / 4K resolution control.

Model Selection

  • gpt-image-2: text-to-image generation and optional reference-image-guided generation.
  • gpt-image-2-edit: editing based on one or more reference images and a text instruction; requires image_urls.

Key Inputs

  • prompt is required inside input and is limited to 4000 characters.
  • image_urls is required for gpt-image-2-edit and supports multiple input images.
  • Each request returns a single image.
  • size supports auto, 1:1, 2:3, 3:2, 4:3, 3:4, 4:5, 5:4, 16:9, 9:16, 21:9, or custom WIDTHxHEIGHT.
  • resolution supports 1K, 2K, and 4K.
  • Custom WIDTHxHEIGHT sizes require resolution to be 2K or 4K.
  • auto size or omitted size always uses 1K resolution.

Execution

  • Read references/api.md for endpoint details, model ids, key fields, example payloads, resolution notes, and polling notes.
  • Use scripts/submit_gpt_image_2.sh to submit a raw JSON payload from the shell.
  • If the user only needs a curl example, adapt one from references/api.md instead of rewriting from scratch.
  • After submission, report the task_id clearly so follow-up polling is easy.

Output Expectations

When helping with this model family, include:

  • chosen model id
  • whether the request is text-to-image, reference-guided generation, or editing
  • final payload or a concise parameter summary
  • selected size and resolution
  • whether reference images are involved
  • returned task_id if a request was actually submitted
  • next step: poll status or wait for webhook

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