← 返回 Skills 市场
dommholland

GetPost AI and LLM Gateway

作者 domm · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
174
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install getpost-ai
功能描述
Access 24+ LLM chat models and 16+ image/video generation models via one API.
使用说明 (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

安全使用建议
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install getpost-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /getpost-ai 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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
元数据
Slug getpost-ai
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

GetPost AI and LLM Gateway 是什么?

Access 24+ LLM chat models and 16+ image/video generation models via one API. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 174 次。

如何安装 GetPost AI and LLM Gateway?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install getpost-ai」即可一键安装,无需额外配置。

GetPost AI and LLM Gateway 是免费的吗?

是的,GetPost AI and LLM Gateway 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

GetPost AI and LLM Gateway 支持哪些平台?

GetPost AI and LLM Gateway 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 GetPost AI and LLM Gateway?

由 domm(@dommholland)开发并维护,当前版本 v1.0.0。

💬 留言讨论