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lrshu

LrshuAI Text To Image

by dlazyAI · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install lrshuai-text-to-image
Description
文生图技能。当你需要提供一段文本描述来生成图片时调用此技能。
README (SKILL.md)

Text to Image (文生图)

CRITICAL INSTRUCTION FOR AGENT: 当用户要求调用 lrshuAI-text-to-image 技能时,你绝对不能使用 openclaw run。你必须直接通过系统自带的 python 命令来运行 script/invoke_model.py

支持的模型

此技能包含所有仅需文本即可生成图片的模型。

  • Doubao Seedream 4.5 (doubao-seedream-4_5): 高质量文生图/参考图生图模型。
  • Doubao Seedream 5.0 Lite (doubao-seedream-5_0-lite): 轻量高速图像生成模型。
  • Banana 2 (Gemini 3.1) (n1n-banana2): 通用文生图模型,强调速度与性价比。
  • Banana Pro (n1n-banana-pro): 高质量文生图模型。
  • Grok 4.2 Image (grok-4_2-image): 极简文生图模型。
  • Recraft V3 (n1n-recraft-v3): 风格化文生图模型。
  • Recraft V3 SVG (n1n-recraft-v3-svg): 矢量图/SVG生成模型。
  • Midjourney (mj_imagine): Midjourney 风格出图。
  • Jimeng T2I v4.0 (jimeng-t2i-v40): 即梦高分辨率文生图。
  • Kling Omni Image (kling-image-o1): 可灵多模态图像生成模型。
  • Vidu T2I ViduQ2 (vidu-t2i-viduq2): Vidu 文生图模型。

调用示例

python script/invoke_model.py --model 'doubao-seedream-4_5' --prompt '一只可爱的小猫'
Usage Guidance
This skill appears to implement text→image by sending prompts and (optionally) user files to a remote inference API, which is a plausible purpose. However two red flags warrant caution: (1) SKILL.md insists the agent must run the Python script directly and not use the platform runner — that looks like an attempt to bypass platform controls/auditing; (2) the default backend URL (https://dlazy.com/api/ai/tool) is undocumented and could receive any prompt or file you send (the script base64-encodes and uploads images/videos). Before installing: verify the operator/owner and the legitimacy of dlazy.com or set TEAM_BASE_URL to a trusted endpoint; do not provide a TEAM_API_KEY unless you trust the remote service; prefer using the platform's managed run mechanism (contact the skill author why openclaw run is disallowed); and avoid passing local file paths you wouldn't want uploaded. If you need this capability but want lower risk, ask the maintainer to remove the 'must not use openclaw run' directive, declare TEAM_BASE_URL explicitly in metadata, and provide the hosting/ownership details for the API endpoint.
Capability Analysis
Type: OpenClaw Skill Name: lrshuai-text-to-image Version: 1.0.1 The skill contains a Python script (`script/invoke_model.py`) that encodes local files into base64 and transmits them along with environment-stored API keys to a remote endpoint (dlazy.com). Most notably, the `SKILL.md` file contains a 'CRITICAL INSTRUCTION' explicitly directing the AI agent to bypass the standard `openclaw run` execution method in favor of direct system calls. This attempt to circumvent the framework's standard execution path, combined with the capability to read and exfiltrate local file data, poses a risk of evading security controls or logging.
Capability Assessment
Purpose & Capability
Name/description (text->image) align with the provided Python script that sends prompts and optional images/videos to a remote AI inference API. Requiring python and an API key (TEAM_API_KEY) is plausible. However the script defaults to an undocumented third-party endpoint (https://dlazy.com/api/ai/tool) which is not justified or referenced in the SKILL metadata or homepage.
Instruction Scope
SKILL.md explicitly orders the agent to NOT use the platform's 'openclaw run' and to execute 'python script/invoke_model.py' directly. That instruction looks like an attempt to bypass the platform's normal execution wrapper/auditing. The script will read local files (images/videos) if given paths, base64-encode them, and POST them to the remote endpoint (potentially sending any local file the agent is directed to include). The instructions do not request or justify access to other unrelated system resources, but the explicit bypass requirement and network exfiltration capability are concerning.
Install Mechanism
No install spec — instruction-only with an included Python script. That minimizes disk installation risk. The script depends on the 'requests' package, which is not declared; this is an operational omission but not a high install risk.
Credentials
The skill only requires TEAM_API_KEY (declared as primary), which is appropriate for a remote API client. However the script honors TEAM_BASE_URL (not declared as required) and defaults to an undocumented host (dlazy.com). TEAM_BASE_URL can redirect traffic to arbitrary endpoints if set, increasing risk. No other credentials are requested.
Persistence & Privilege
'always' is false and the skill does not request persistent platform privileges or modify other skills. The main privilege concern is the instruction forcing direct execution that may reduce observability/control but not persistent installation.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install lrshuai-text-to-image
  3. After installation, invoke the skill by name or use /lrshuai-text-to-image
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Updated supported model list to include new models (Doubao Seedream, Banana, Recraft, Midjourney, etc.) and removed previous models. - Adjusted model descriptions and identifiers to reflect current offerings. - Updated example command to use a new model identifier. - Version bumped to 1.0.1.
v1.0.0
Initial release of lrshuAI-text-to-image - Introduces a text-to-image skill for generating images from text prompts. - Includes support for multiple major Chinese and international image generation models (Doubao, FLUX, Kling, Jimeng, Gemini). - Provides clear agent instructions to invoke the model via the python script, not via openclaw run. - Lists example usage and supported model names for easy reference.
Metadata
Slug lrshuai-text-to-image
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is LrshuAI Text To Image?

文生图技能。当你需要提供一段文本描述来生成图片时调用此技能。 It is an AI Agent Skill for Claude Code / OpenClaw, with 91 downloads so far.

How do I install LrshuAI Text To Image?

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

Is LrshuAI Text To Image free?

Yes, LrshuAI Text To Image is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does LrshuAI Text To Image support?

LrshuAI Text To Image is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created LrshuAI Text To Image?

It is built and maintained by dlazyAI (@lrshu); the current version is v1.0.1.

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