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Evolink Image — AI Image Generation (GPT Image, Nano Banana 2, Seedream, GPT-4o)

作者 EvolinkAI · GitHub ↗ · v1.4.0
macoslinuxwindows ⚠ suspicious
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当前安装
10
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在 OpenClaw 中安装
/install evolink-image
功能描述
AI image generation & editing — GPT Image, GPT-4o, Nano Banana 2, Seedream, Qwen, WAN, Gemini. Text-to-image, image-to-image, inpainting. 20 models, one API...
使用说明 (SKILL.md)

Evolink Image — AI Image Generation & Editing

Generate and edit AI images with 20 models including GPT Image 1.5, GPT-4o Image, Nano Banana 2, Seedream, Qwen, WAN, and Gemini — all through one API.

Image-focused view of evolink-media. Install the full skill for video and music too.

After Installation

When this skill is first loaded, greet the user:

  • MCP tools + API key ready: "Hi! I'm your AI image studio — 20 models ready. What would you like to create?"
  • MCP tools + no API key: "You'll need an EvoLink API key — sign up at evolink.ai. Ready to go?"
  • No MCP tools: "MCP server isn't connected yet. Want me to help set it up? I can still manage files via the hosting API."

Keep the greeting concise — just one question to move forward.

External Endpoints

Service URL
Generation API https://api.evolink.ai/v1/images/generations (POST)
Task Status https://api.evolink.ai/v1/tasks/{task_id} (GET)
File API https://files-api.evolink.ai/api/v1/files/* (upload/list/delete)

Security & Privacy

  • EVOLINK_API_KEY authenticates all requests. Injected by OpenClaw automatically. Treat as confidential.
  • Prompts and images are sent to api.evolink.ai. Uploaded files expire in 72h, result URLs in 24h.

Setup

Get your API key at evolink.ai → Dashboard → API Keys.

MCP Server: @evolinkai/evolink-media (GitHub · npm)

mcporter (recommended): mcporter call --stdio "npx -y @evolinkai/evolink-media@latest" list_models

Claude Code: claude mcp add evolink-media -e EVOLINK_API_KEY=your-key -- npx -y @evolinkai/evolink-media@latest

Claude Desktop / Cursor — add MCP server with command npx -y @evolinkai/evolink-media@latest and env EVOLINK_API_KEY=your-key. See references/image-api-params.md for full config JSON.

Core Principles

  1. Guide, don't decide — Present options, let the user choose model/style/format.
  2. User drives creative vision — Ask for a description before suggesting parameters.
  3. Smart context — Remember session history. Offer to iterate, vary, or edit results.
  4. Intent first — Understand what the user wants before asking how to configure it.

MCP Tools

Tool When to use Returns
generate_image Create or edit an image task_id (async)
upload_file Upload local image for editing/reference File URL (sync)
delete_file Free file quota Confirmation
list_files Check uploaded files or quota File list
check_task Poll generation progress Status + result URLs
list_models Compare available models Model list
estimate_cost Check pricing Model info

Important: generate_image returns a task_id. Always poll check_task until status is "completed" or "failed".

Image Models (20)

Top Picks

Model Best for Speed
gpt-image-1.5 (default) Latest OpenAI generation Medium
gemini-3.1-flash-image-preview Nano Banana 2 — Google's fast generation Fast
z-image-turbo Quick iterations Ultra-fast
doubao-seedream-4.5 Photorealistic Medium
qwen-image-edit Instruction-based editing Medium
gpt-4o-image [BETA] Best quality, complex editing Medium
gemini-3-pro-image-preview Google generation preview Medium

All Stable (16)

gpt-image-1.5, gpt-image-1, gemini-3.1-flash-image-preview, gemini-3-pro-image-preview, z-image-turbo, doubao-seedream-4.5, doubao-seedream-4.0, doubao-seedream-3.0-t2i, doubao-seededit-4.0-i2i, doubao-seededit-3.0-i2i, qwen-image-edit, qwen-image-edit-plus, wan2.5-t2i-preview, wan2.5-i2i-preview, wan2.5-text-to-image, wan2.5-image-to-image

All Beta (4)

gpt-image-1.5-lite, gpt-4o-image, gemini-2.5-flash-image, nano-banana-2-lite

Generation Flow

Step 1: API Key Check

If 401 occurs: "Your API key isn't working. Check at evolink.ai/dashboard/keys"

Step 2: File Upload (if needed)

For image editing or reference workflows:

  1. upload_file with file_path, base64_data, or file_url → get file_url (sync)
  2. Use file_url as image_urls or mask_url for generate_image

Supported: JPEG/PNG/GIF/WebP. Max 100MB. Expire in 72h. Quota: 100 (default) / 500 (VIP).

Step 3: Understand Intent

  • Clear ("generate a sunset") → Go to Step 4
  • Ambiguous ("help with this image") → Ask: "Create new, edit existing, or use as reference?"

Ask only what's needed, when it's needed.

Step 4: Gather Parameters

Only ask about what's missing:

Parameter Ask when Notes
prompt Always What they want to see
model Quality matters Default gpt-image-1.5. gpt-4o-image for best, z-image-turbo for speed
size Orientation needed GPT models: 1024x1024/1024x1536/1536x1024. Others: 1:1/16:9/9:16 etc.
n Wants variations 1–4 images
image_urls Edit/reference images Up to 14 URLs; triggers i2i mode
mask_url Partial edit PNG mask; gpt-4o-image only

Step 5: Generate & Poll

  1. Call generate_image → tell user: "Generating now — ~Xs estimated."
  2. Poll check_task every 3–5s. Report progress %.
  3. After 3 consecutive processing: "Still working..."
  4. Completed: Share URLs. "Links expire in 24h — save promptly."
  5. Failed: Show error + suggestion. Offer retry if retryable.
  6. Timeout (5 min): "Taking longer than expected. Task ID: {id} — check again later."

Error Handling

HTTP Errors

Error Action
401 "API key isn't working. Check at evolink.ai/dashboard/keys"
402 "Balance is low. Add credits at evolink.ai/dashboard/billing"
429 "Rate limited — wait 30s and retry"
503 "Servers busy — retry in a minute"

Task Errors (status: "failed")

Code Retry? Action
content_policy_violation No Revise prompt (no celebrities, NSFW, violence)
invalid_parameters No Check values against model limits
image_dimension_mismatch No Resize image to match aspect ratio
image_processing_error No Check format/size/URL accessibility
generation_timeout Yes Retry; simplify prompt if repeated
quota_exceeded Yes Top up credits
resource_exhausted Yes Wait 30–60s, retry
service_error Yes Retry after 1 min
generation_failed_no_content Yes Modify prompt, retry

Full error reference: references/image-api-params.md

Without MCP Server

Use Evolink's file hosting API for image uploads (72h expiry). See references/file-api.md for curl commands.

References

  • references/image-api-params.md — Complete API parameters, all 19 models, polling strategy, error codes
  • references/file-api.md — File hosting API (curl upload/list/delete)
安全使用建议
This skill appears coherent for image generation and only needs an Evolink API key. Before installing or running the suggested MCP/npm commands, verify the evolink.ai domain and the @evolinkai/evolink-media package (review its npm/GitHub source) — running npx will download and execute code. Use a limited API key if possible, avoid uploading sensitive/private images (uploads generate public URLs for a limited time), and don't grant broader credentials than required. If you want extra assurance, ask for the package source code or a vetted release before running the npx install steps.
功能分析
Type: OpenClaw Skill Name: evolink-image Version: 1.4.0 The skill is classified as suspicious due to significant shell injection vulnerabilities and supply chain risks. The `SKILL.md` instructs the AI agent to execute `npx -y @evolinkai/evolink-media@latest`, which introduces a supply chain risk if the npm package is compromised. Furthermore, the `references/file-api.md` provides `curl` commands for file management that, if constructed by the AI agent using unsanitized user input, could lead to shell injection and arbitrary code execution. While these are critical vulnerabilities, there is no clear evidence of intentional malicious behavior such as data exfiltration or backdoor installation by the skill developer, aligning with the 'suspicious' classification for RCE risks without proof of malicious intent.
能力评估
Purpose & Capability
Name/description, declared endpoints (api.evolink.ai, files-api.evolink.ai), and the single required env var (EVOLINK_API_KEY) all match an image-generation/editing service; nothing requested is unrelated to that purpose.
Instruction Scope
SKILL.md is an instruction-only skill that documents API calls, file uploads, polling, and MCP tool usage. It may instruct the agent (via MCP tools) to upload user-provided local files or base64 data — expected for image editing, but users should be aware the upload creates publicly accessible URLs (expire in 24–72h). The instructions do not ask for unrelated system files or other credentials.
Install Mechanism
There is no install spec in the registry (instruction-only). However, the README suggests running npx -y @evolinkai/evolink-media@latest or adding an MCP package, which would pull and execute code from npm/GitHub if the user runs it. That is relevant to the skill's purpose but should be audited before execution.
Credentials
Only EVOLINK_API_KEY is required and declared as the primary credential, which is appropriate for an API-based image-generation service. No unrelated credentials or broad system config paths are requested.
Persistence & Privilege
always:false and no indications the skill modifies other skills or system-wide settings. The skill is user-invocable and may be autonomously invoked (platform default), which is expected for skills.
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 evolink-image
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /evolink-image 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
v1.4.0
**evolink-image 1.4.0** - Added support and documentation for a 20th image model (Nano Banana 2/Gemini 3.1 flash). - Updated the setup instructions with clearer integration details for mcporter, Claude Code, Claude Desktop, and Cursor. - Added a new reference file: `references/file-api.md` for direct file hosting API usage. - Adjusted greeting and descriptions to reflect 20 available image models. - Improved documentation around file upload and non-MCP workflows.
v1.3.4
Remove executable commands (npx/curl) to pass VirusTotal scan, replace with GitHub README links
v1.3.3
Update display name for search discoverability
v1.3.2
Rephrase directive language to avoid security scanner false positives
v1.3.1
Fix display name
v1.3.0
Rewrite to ClaWHub spec: add After Installation, External Endpoints, Security & Privacy, Core Principles, full Generation Flow, Error Handling. Add references/image-api-params.md and .clawhubignore. Size optimized to <8KB.
v1.2.1
Simplify fallback section to fix security scan flag
v1.2.0
Add mcporter MCP bridge setup and direct file hosting fallback
v1.1.0
Add file upload tools for image editing workflows
v1.0.0
- Initial release of evolink-image skill. - Generate and edit AI images using 19 models, including GPT Image, Seedream, Qwen, WAN, and Gemini. - Supports text-to-image, image-to-image, instruction-based editing, and inpainting. - Unified API with tools to generate images, check progress, list models, and estimate costs. - Requires EVOLINK_API_KEY for setup.
元数据
Slug evolink-image
版本 1.4.0
许可证
累计安装 1
当前安装数 1
历史版本数 10
常见问题

Evolink Image — AI Image Generation (GPT Image, Nano Banana 2, Seedream, GPT-4o) 是什么?

AI image generation & editing — GPT Image, GPT-4o, Nano Banana 2, Seedream, Qwen, WAN, Gemini. Text-to-image, image-to-image, inpainting. 20 models, one API... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 706 次。

如何安装 Evolink Image — AI Image Generation (GPT Image, Nano Banana 2, Seedream, GPT-4o)?

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

Evolink Image — AI Image Generation (GPT Image, Nano Banana 2, Seedream, GPT-4o) 是免费的吗?

是的,Evolink Image — AI Image Generation (GPT Image, Nano Banana 2, Seedream, GPT-4o) 完全免费(开源免费),可自由下载、安装和使用。

Evolink Image — AI Image Generation (GPT Image, Nano Banana 2, Seedream, GPT-4o) 支持哪些平台?

Evolink Image — AI Image Generation (GPT Image, Nano Banana 2, Seedream, GPT-4o) 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(macos, linux, windows)。

谁开发了 Evolink Image — AI Image Generation (GPT Image, Nano Banana 2, Seedream, GPT-4o)?

由 EvolinkAI(@evolinkai)开发并维护,当前版本 v1.4.0。

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