Ai Image Generation

Generate AI images with FLUX, Gemini, Grok, Seedream, Reve and 50+ models via SkillBoss API Hub. Models: FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image...

Security Scan

The skill's instructions and requirements mostly match its stated purpose (calling SkillBoss API to generate images); the only notable inconsistency is that the registry metadata omitted the SkillBoss_API_KEY requirement declared in SKILL.md.

Purpose & Capability

The skill declares an image-generation purpose via the SkillBoss API Hub and the runtime instructions show exactly that: HTTP calls to https://api.SkillBoss.co/v1 to request image models. Requested capabilities (text2image, img2img, upscaling, LoRA) are consistent with calling a multi-model image API.

Instruction Scope

SKILL.md contains concrete example code that only (a) reads SkillBoss_API_KEY from the environment and (b) posts JSON to the SkillBoss API. It does not instruct the agent to read unrelated files, other environment variables, or to transmit data to other endpoints. No vague 'gather context' instructions are present.

Install Mechanism

This is an instruction-only skill with no install spec and no code files. That is the lowest-risk install model: nothing is downloaded or written to disk by an installer.

Credentials

SKILL.md requires a single API key (SkillBoss_API_KEY), which is appropriate for the declared purpose. However, the registry metadata provided above lists 'Required env vars: none' and 'Primary credential: none' — that metadata omission is an inconsistency that could confuse users or automated installers. No other unrelated credentials are requested.

Persistence & Privilege

The skill does not request always:true and does not require writing system-wide configuration; it is user-invocable and allows autonomous invocation by the agent (the platform default). This is expected for a normal skill and is not combined with broad credential requests.

Assessment

This skill appears to do what it says: make requests to SkillBoss to generate images. Before installing, confirm the following: (1) the SkillBoss_API_KEY is required at runtime even though registry metadata omitted it — ensure you provide a dedicated API key with limited scope and revoke it if needed; (2) verify the SkillBoss service (https://api.SkillBoss.co) is legitimate and that you accept its privacy/usage terms, since image content and prompts may be logged; (3) avoid putting high-privilege or long-lived secrets into the same environment — use a scoped API key if possible; (4) if you are concerned about autonomous invocation, be aware the agent can call the skill automatically by default; consider restricting or reviewing actions the agent can take with the key. If you need higher assurance, request the skill author/publisher information or a link to an official homepage/source before proceeding.

Generate images with 50+ AI models via SkillBoss API Hub.

Quick Start

import requests, os

SkillBoss_API_KEY = os.environ["SkillBoss_API_KEY"]
API_BASE = "https://api.SkillBoss.co/v1"

def pilot(body: dict) -> dict:
    r = requests.post(
        f"{API_BASE}/pilot",
        headers={"Authorization": f"Bearer {SkillBoss_API_KEY}", "Content-Type": "application/json"},
        json=body,
        timeout=60,
    )
    return r.json()

# Generate an image (auto-routed to best model)
result = pilot({"type": "image", "inputs": {"prompt": "a cat astronaut in space"}, "prefer": "quality"})
image_url = result["result"]["image_url"]
print(image_url)

Available Models

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Model	Best For
FLUX Dev LoRA	High quality with custom styles
FLUX.2 Klein LoRA	Fast with LoRA support (4B/9B)
Gemini 3 Pro	Google's latest
Gemini 2.5 Flash	Fast Google model
Grok Imagine	xAI's model, multiple aspects
Seedream 4.5	2K-4K cinematic quality
Seedream 4.0	High quality 2K-4K
Seedream 3.0	Accurate text rendering
Reve	Natural language editing, text rendering
ImagineArt 1.5 Pro	Ultra-high-fidelity 4K
Topaz Upscaler	Professional upscaling

Browse All Image Models

# Discover ģʽ����ѯ����֧�ֵ�ͼ������ģ��
result = pilot({"discover": True, "keyword": "image"})
print(result)

Examples

Text-to-Image (Quality)

result = pilot({
    "type": "image",
    "inputs": {"prompt": "professional product photo of a coffee mug, studio lighting"},
    "prefer": "quality"
})
image_url = result["result"]["image_url"]

Fast Generation

result = pilot({
    "type": "image",
    "inputs": {"prompt": "sunset over mountains"},
    "prefer": "balanced"
})
image_url = result["result"]["image_url"]

Photorealistic Landscape

result = pilot({
    "type": "image",
    "inputs": {"prompt": "photorealistic landscape with mountains and lake"},
    "prefer": "quality"
})
image_url = result["result"]["image_url"]

With Aspect Ratio

result = pilot({
    "type": "image",
    "inputs": {
        "prompt": "cyberpunk city at night",
        "aspect_ratio": "16:9"
    },
    "prefer": "balanced"
})
image_url = result["result"]["image_url"]

Text Rendering in Image

result = pilot({
    "type": "image",
    "inputs": {"prompt": "A poster that says HELLO WORLD in bold letters"},
    "prefer": "quality"
})
image_url = result["result"]["image_url"]

Cinematic Portrait (4K Quality)

result = pilot({
    "type": "image",
    "inputs": {"prompt": "cinematic portrait of a woman, golden hour lighting"},
    "prefer": "quality"
})
image_url = result["result"]["image_url"]

Image Upscaling

result = pilot({
    "type": "image",
    "inputs": {
        "prompt": "upscale",
        "image_url": "https://example.com/image.jpg"
    },
    "prefer": "quality"
})
image_url = result["result"]["image_url"]

Response ��ʽ

# ��׼ response ����
result = pilot({"type": "image", "inputs": {"prompt": "..."}, "prefer": "quality"})
image_url = result["result"]["image_url"]
# �򣨲���ģ�ͷ��������ʽ��
image_url = result["result"]["images"][0]["url"]

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