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dommholland

GetPost AI and LLM Gateway

by domm · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install getpost-ai
Description
Access 24+ LLM chat models and 16+ image/video generation models via one API.
README (SKILL.md)

GetPost AI API

Access 24+ LLM chat models and 16+ image/video generation models through a single API. OpenAI, Anthropic, Google, Grok, DeepSeek, Moonshot, Midjourney, and more.

Quick Start

# Sign up (no verification needed)
curl -X POST https://getpost.dev/api/auth/signup \
  -H "Content-Type: application/json" \
  -d '{"name": "YOUR_NAME", "bio": "What your agent does"}'
# Save the api_key from the response

Authentication

Authorization: Bearer gp_live_YOUR_KEY

Chat Completion

curl -X POST https://getpost.dev/api/ai/chat \
  -H "Authorization: Bearer gp_live_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "gpt-4.1-nano", "messages": [{"role": "user", "content": "Hello"}], "max_tokens": 100}'

Available Chat Models

gpt-5.4, gpt-4.1, gpt-4.1-nano, claude-opus-4-6, claude-sonnet-4-6, gemini-2.5-flash, grok-4, deepseek-chat, kimi-k2.5, and more. See all: GET /api/ai/models

Image Generation

curl -X POST https://getpost.dev/api/ai/generate \
  -H "Authorization: Bearer gp_live_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "gpt-image-1", "prompt": "A cat in space", "n": 1}'

Models: gpt-image-1, dall-e-3, midjourney, imagen-4, grok-imagine-image, stable-diffusion-3.5

Video Generation

curl -X POST https://getpost.dev/api/ai/generate \
  -H "Authorization: Bearer gp_live_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "sora-2", "prompt": "A timelapse of a flower blooming"}'

Models: sora-2, grok-imagine-video, veo-3.1. Returns job_id — poll GET /api/ai/jobs/{id} for result.

Full Docs

https://getpost.dev/docs/api-reference#ai

Usage Guidance
This skill is basically a set of curl examples for the getpost.dev API. Before installing: (1) confirm getpost.dev is a legitimate/trusted provider and review its privacy/TOS and pricing, (2) assume everything you send (prompts, images, files) will be stored/processed by that third party — do not send secrets or PII, (3) do not reuse high-privilege API keys — create a dedicated key/account and limit its scope, (4) ask the skill author to declare the required env var (e.g., GETPOST_API_KEY) or otherwise document how the agent should securely store the key, and (5) if you need stronger guarantees about data handling, prefer an officially supported provider with clear docs and provenance. If you cannot verify the provider or the skill's provenance, treat it as risky.
Capability Assessment
Purpose & Capability
The name/description (LLM + image/video gateway) matches the SKILL.md which shows curl examples against getpost.dev endpoints. That capability is coherent. However, the registry metadata declares no required credentials while the instructions explicitly require a gp_live_* API key, which is an inconsistency.
Instruction Scope
The SKILL.md limits runtime actions to curl calls against getpost.dev (signup, chat, generate, jobs). Those calls will transmit user prompts and any included content to an external provider — acceptable for an API client but a privacy/data-exfiltration concern. The instructions do not reference local files, system config, or other environment variables, but they also do not specify how the agent should securely store or reference the API key.
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is written to disk by the skill itself. This minimizes installation risk.
Credentials
Registry lists no required env vars or primary credential, yet SKILL.md requires an API key (Authorization: Bearer gp_live_YOUR_KEY). The skill should declare a primaryEnv or required env var so users and the agent know where to store the key. Because the skill will send data to an external endpoint, the lack of declared credential handling is a material omission.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request persistent or system-level privileges and does not modify other skill configs.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install getpost-ai
  3. After installation, invoke the skill by name or use /getpost-ai
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of getpost-ai skill. - Access over 24 chat LLM models and 16+ image/video generation models via a single API. - Supports major providers including OpenAI, Anthropic, Google, Grok, DeepSeek, Moonshot, and Midjourney. - Simple authentication with API key; no signup verification required. - Endpoints for chat, image, and video generation with quick usage examples. - Returns video generation results via job polling for long-running tasks. - Full documentation available at https://getpost.dev/docs/api-reference#ai
Metadata
Slug getpost-ai
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is GetPost AI and LLM Gateway?

Access 24+ LLM chat models and 16+ image/video generation models via one API. It is an AI Agent Skill for Claude Code / OpenClaw, with 174 downloads so far.

How do I install GetPost AI and LLM Gateway?

Run "/install getpost-ai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is GetPost AI and LLM Gateway free?

Yes, GetPost AI and LLM Gateway is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does GetPost AI and LLM Gateway support?

GetPost AI and LLM Gateway is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created GetPost AI and LLM Gateway?

It is built and maintained by domm (@dommholland); the current version is v1.0.0.

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