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Nvidia Sdxl

作者 zhaoxiasan · GitHub ↗ · v1.0.2
cross-platform ⚠ suspicious
338
总下载
0
收藏
1
当前安装
3
版本数
在 OpenClaw 中安装
/install nvidia-sdxl
功能描述
Generate high-resolution PNG images from detailed text prompts using the NVIDIA Stable Diffusion XL model with customizable style, lighting, and resolution.
安全使用建议
This skill will call NVIDIA's API and save images locally, which matches its description — but it contains a hard-coded API key in index.py even though no credentials are declared. That is risky: the embedded key could be expired, overused, or abused by the publisher, and distributing a secret in the code is a security smell. Before installing or running: (1) Do not trust the embedded API key — remove it and require a user-supplied key via an environment variable or config. (2) Verify you are comfortable with requests to ai.api.nvidia.com and any billing implications on the NVIDIA account behind that key. (3) Ensure the runtime has Python and the 'requests' package, and create/validate the workspace directory (~/.openclaw/workspace). (4) If you control the account that provided the key, rotate the key immediately; if you do not control it, avoid using the embedded key and replace it with your own. (5) If you need higher assurance, request the publisher remove secrets from code, and/or run the skill in an isolated environment to limit any potential misuse.
功能分析
Type: OpenClaw Skill Name: nvidia-sdxl Version: 1.0.2 The skill bundle contains a hardcoded NVIDIA API key in `index.py`, which is a significant security vulnerability and a potential privacy risk, as it allows the key owner to monitor the user's prompts and usage. Additionally, the `_meta.json` file contains an anomalous future-dated timestamp (2026). While the functional code for image generation aligns with the documentation in `SKILL.md`, hardcoding credentials and using anomalous metadata are high-risk indicators.
能力评估
Purpose & Capability
Name/description and the code align (text -> NVIDIA SDXL -> PNG). However, the bundle requests no credentials yet index.py embeds a hard-coded API_KEY constant. A production-quality SDXL skill should accept a user-supplied API key (env var or config) rather than shipping one inside the code. Also there is no declared dependency on Python or the 'requests' library despite the presence of a Python entrypoint.
Instruction Scope
SKILL.md describes generating and saving images to the OpenClaw workspace, which index.py does. But SKILL.md omits any mention of authentication or a required API key; the code instead uses an embedded key. The code writes files to ~/.openclaw/workspace (assumes that path exists) and makes network calls to ai.api.nvidia.com — these are expected for the stated purpose, but the omitted credential handling is a scope/information mismatch.
Install Mechanism
No install spec is provided (instruction-only), which minimizes installer risk. However, the included code requires a Python runtime and the 'requests' package; those dependencies are not declared. That mismatch can lead to runtime failures but is not itself malicious.
Credentials
The package declares no required environment variables or credentials, yet contains a hard-coded API key (API_KEY) inside index.py. This is disproportionate and problematic: a credential is present but not declared, and it's being shipped in plaintext inside the codebase. There are no other environment accesses.
Persistence & Privilege
The skill is user-invocable and not always-enabled; it does not request elevated or persistent platform privileges and does not modify other skills or system-wide settings. It does write image files into the user's ~/.openclaw/workspace directory, which is consistent with its functionality.
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 nvidia-sdxl
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /nvidia-sdxl 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
v1.0.2
- Internal implementation change in index.py. - No user-facing changes or updates to features or documentation.
v1.0.1
- Added tools.yaml file for structured tool definition. - No changes to user-facing features or documentation.
v1.0.0
NVIDIA SDXL Image Generator skill initial release: - Enables generation of high-fidelity images from text prompts using the NVIDIA NIM API and Stable Diffusion XL (SDXL) model. - Supports control over image subject, environment, lighting, and artistic style. - Optional parameters for specifying excluded elements and image resolution (512, 768, or 1024). - Saves generated images locally with clear success confirmation and file paths. - Designed for easy creation of photorealistic or artistic visual assets.
元数据
Slug nvidia-sdxl
版本 1.0.2
许可证
累计安装 1
当前安装数 1
历史版本数 3
常见问题

Nvidia Sdxl 是什么?

Generate high-resolution PNG images from detailed text prompts using the NVIDIA Stable Diffusion XL model with customizable style, lighting, and resolution. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 338 次。

如何安装 Nvidia Sdxl?

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

Nvidia Sdxl 是免费的吗?

是的,Nvidia Sdxl 完全免费(开源免费),可自由下载、安装和使用。

Nvidia Sdxl 支持哪些平台?

Nvidia Sdxl 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 Nvidia Sdxl?

由 zhaoxiasan(@zhaoxiasan)开发并维护,当前版本 v1.0.2。

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