Ai Chat

Access 50+ LLM models through a unified OpenAI-compatible API via AceDataCloud. Use when you need chat completions from GPT, Claude, Gemini, DeepSeek, Grok,...

Security Scan

The skill appears to do what it says (proxy many LLMs through AceDataCloud) but the SKILL.md requires an ACEDATACLOUD_API_TOKEN while the registry metadata does not declare any required credential and the source/homepage are unknown — an incoherence worth clarifying before use.

Purpose & Capability

The name/description and the runtime instructions align: this is an OpenAI-compatible gateway to many third-party models (AceDataCloud API). However, the package metadata does not declare the ACEDATACLOUD_API_TOKEN credential that the SKILL.md explicitly states is required. Also there is no homepage or source URL listed, which reduces provenance and auditability.

Instruction Scope

SKILL.md only shows examples of calling https://api.acedata.cloud/v1 and using an API token. It does not instruct the agent to read unrelated files, environment variables, or system paths, nor to transmit data to unexpected endpoints beyond the documented AceDataCloud API.

Install Mechanism

Instruction-only skill with no install spec and no code files — minimal surface area and nothing is written to disk by an installer.

Credentials

The runtime instructions require a single bearer credential (ACEDATACLOUD_API_TOKEN), which is proportionate for an API gateway. The concern is that the registry metadata omitted this required env var (Required env vars: none), causing an inconsistency: the platform may not surface that a secret is needed and users might not realize they must provide a token. Also the token's scope, where to obtain it, and billing implications are not documented in the skill metadata.

Persistence & Privilege

The skill is not force-included (always: false) and uses normal autonomous invocation defaults. It does not request persistent system-level privileges or modify other skills/config. Nothing unusual here.

What to consider before installing

This skill looks functionally consistent with being an OpenAI-compatible proxy to AceDataCloud, but the SKILL.md requires ACEDATACLOUD_API_TOKEN while the registry metadata does not declare it — ask the publisher to correct the metadata. Before installing: verify the vendor (AceDataCloud) and its domain (api.acedata.cloud), confirm how to obtain and scope the API token, understand billing and data retention policies for requests sent through their gateway, and only provide a token with minimum necessary scope. Because the source and homepage are missing, treat the skill as lower provenance: test in a sandboxed environment and avoid supplying high-privilege credentials until you confirm the vendor and metadata are correct.

AI Chat — Unified LLM Gateway

Access 50+ language models through a single OpenAI-compatible endpoint via AceDataCloud.

Authentication

export ACEDATACLOUD_API_TOKEN="your-token-here"

Quick Start

curl -X POST https://api.acedata.cloud/v1/chat/completions \
  -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model": "claude-sonnet-4-20250514", "messages": [{"role": "user", "content": "Hello!"}]}'

OpenAI SDK Drop-in

from openai import OpenAI

client = OpenAI(
    api_key="your-token-here",
    base_url="https://api.acedata.cloud/v1"
)

response = client.chat.completions.create(
    model="gpt-4.1",
    messages=[{"role": "user", "content": "Explain quantum computing"}]
)
print(response.choices[0].message.content)

Available Models

OpenAI GPT

Model	Type	Best For
gpt-4.1	Latest	General-purpose, high quality
gpt-4.1-mini	Small	Fast, cost-effective
gpt-4.1-nano	Tiny	Ultra-fast, lowest cost
gpt-4o	Multimodal	Vision + text
gpt-4o-mini	Small multimodal	Fast vision tasks
o1	Reasoning	Complex reasoning tasks
o1-mini	Small reasoning	Quick reasoning
o1-pro	Pro reasoning	Advanced reasoning
gpt-5	Latest gen	Next-gen intelligence
gpt-5-mini	Mini gen 5	Fast next-gen

Anthropic Claude

Model	Type	Best For
claude-opus-4-6	Latest Opus	Highest capability
claude-sonnet-4-6	Latest Sonnet	Balanced quality/speed
claude-opus-4-5-20251101	Opus 4.5	Premium tasks
claude-sonnet-4-5-20250929	Sonnet 4.5	High-quality balance
claude-sonnet-4-20250514	Sonnet 4	Reliable general-purpose
claude-haiku-4-5-20251001	Haiku 4.5	Fast, efficient
claude-3-5-sonnet-20241022	Legacy 3.5	Proven track record
claude-3-opus-20240229	Legacy Opus	Maximum quality (legacy)

Google Gemini

Model	Best For
gemini-1.5-pro	Long context, complex tasks
gemini-1.5-flash	Fast, efficient

DeepSeek

Model	Best For
deepseek-r1	Deep reasoning
deepseek-r1-0528	Latest reasoning
deepseek-v3	General-purpose
deepseek-v3-250324	Latest general

xAI Grok

Model	Best For
grok-4	Latest, highest capability
grok-3	General-purpose
grok-3-fast	Speed-optimized
grok-3-mini	Compact, efficient

Features

Streaming

POST /v1/chat/completions
{
  "model": "claude-sonnet-4-20250514",
  "messages": [{"role": "user", "content": "Write a story"}],
  "stream": true
}

Function Calling

POST /v1/chat/completions
{
  "model": "gpt-4.1",
  "messages": [{"role": "user", "content": "What's the weather in Tokyo?"}],
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "get_weather",
        "parameters": {"type": "object", "properties": {"location": {"type": "string"}}}
      }
    }
  ]
}

Vision

POST /v1/chat/completions
{
  "model": "gpt-4o",
  "messages": [
    {
      "role": "user",
      "content": [
        {"type": "text", "text": "What's in this image?"},
        {"type": "image_url", "image_url": {"url": "https://example.com/photo.jpg"}}
      ]
    }
  ]
}

Parameters

Parameter	Type	Description
model	string	Model name (see tables above)
messages	array	Array of {role, content} objects
temperature	0–2	Randomness (default: 1)
top_p	0–1	Nucleus sampling
max_tokens	integer	Maximum output tokens
stream	boolean	Enable SSE streaming
tools	array	Function calling definitions
tool_choice	string/object	Tool selection strategy

Response

{
  "id": "chatcmpl-xxx",
  "object": "chat.completion",
  "model": "claude-sonnet-4-20250514",
  "choices": [
    {
      "index": 0,
      "message": {"role": "assistant", "content": "Hello!"},
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 10,
    "completion_tokens": 5,
    "total_tokens": 15
  }
}

Gotchas

• 100% OpenAI-compatible — use the standard OpenAI SDK with base_url="https://api.acedata.cloud/v1"
• Billing is token-based with per-model pricing (more expensive models cost more per token)
• Vision is supported on multimodal models (gpt-4o, gpt-4o-mini, grok-2-vision-*)
• Function calling works on most modern models (GPT-4+, Claude 3+)
• Streaming returns chat.completion.chunk objects via SSE
• finish_reason values: "stop" (complete), "length" (max tokens), "tool_calls" (function call), "content_filter" (filtered)