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在 OpenClaw 中安装
/install nvidia-image-gen
功能描述
Generate and edit images using NVIDIA FLUX models. Use when user asks to generate images, create pictures, edit photos, or modify existing images with AI. Supports text-to-image generation and image editing with text prompts.
安全使用建议
What to consider before installing:
- Embedded API key: The script contains a hard-coded NVIDIA_API_KEY. This is risky — the key may be leaked, revoked, or tied to someone else's account and usage. Prefer a skill that requires you to supply your own API key instead of shipping one in code. If you proceed, replace the embedded key with your own NVIDIA_API_KEY (set in the environment) and remove the literal from the file.
- Endpoint verification: The script posts images (base64) to ai.api.nvidia.com. That looks like an official endpoint, but confirm the endpoint and model names with NVIDIA documentation if you need strong assurance.
- Data exposure: Any input image you pass will be uploaded to the remote API. Do not pass sensitive images (IDs, documents, private photos) unless you accept that they will be transmitted to the service.
- Dependencies & runtime: The script uses Python and the 'requests' library but has no install instructions. Run it in a controlled environment (sandbox or VM) and inspect or run with a non-privileged account.
- Replace or revoke keys: If you use the embedded key for testing, monitor usage and revoke it if you detect unexpected activity. Prefer using your own key tied to your account with appropriate quotas.
- If you need higher assurance: ask the publisher for provenance (homepage, owner identity, or assurance that the embedded key is intentionally provided for demo/test and not linked to a live billing account). If provenance is not available, treat the skill as untrusted and run only in isolated environments.
功能分析
Type: OpenClaw Skill
Name: nvidia-image-gen
Version: 1.0.0
The skill is designed to generate and edit images using NVIDIA FLUX models, which aligns with its stated purpose. It utilizes the `requests` library to interact with legitimate NVIDIA API endpoints (ai.api.nvidia.com) and performs necessary file operations (reading input images, writing output images). While an NVIDIA API key is hardcoded in `scripts/generate.py`, it is explicitly mentioned in `SKILL.md` as overridable by an environment variable and is for a public API, not a sensitive user secret. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts against the agent within the provided files.
能力评估
Purpose & Capability
The code and SKILL.md align with the stated purpose: it calls NVIDIA FLUX endpoints (ai.api.nvidia.com) and supports text-to-image and image editing modes. Model names and endpoints in the script are consistent with the description. Minor mismatch: registry metadata lists no required env vars, but the script uses and documents an NVIDIA_API_KEY (embedded by default), so the declared requirements understate the credential needs.
Instruction Scope
SKILL.md instructs the agent to run the included Python script with prompt and optional input image; the runtime instructions remain within the image-generation scope. The script will read any input image files you provide, base64-encode them, send them to the Nvidia endpoints, and write output images to disk (MEDIA:/...). It also reads the NVIDIA_API_KEY environment variable if set.
Install Mechanism
There is no install spec (instruction-only), so nothing is downloaded or installed automatically — lower installation risk. The script depends on Python and the 'requests' package but doesn't declare installation steps; runtime errors may occur if dependencies are missing. No external, non-standard download URLs are used by the skill itself.
Credentials
The script embeds a full NVIDIA API key literal and allows override via NVIDIA_API_KEY. The registry metadata declares no required env vars or primary credential — that omission is inconsistent. Hard-coded API keys in distributed code are a security concern (leaked or abused keys, unexpected billing or access). Requiring only the single service key would be proportionate for this skill; embedding one without disclosure is problematic.
Persistence & Privilege
The skill does not request always:true and does not modify other skills or system-wide settings. It writes generated images to the local filesystem (creates output directories), which is expected for an image-generation tool. No elevated persistence or cross-skill configuration changes are present.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install nvidia-image-gen - 安装完成后,直接呼叫该 Skill 的名称或使用
/nvidia-image-gen触发 - 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
v1.0.0
Initial release
元数据
常见问题
Nvidia Image Gen 是什么?
Generate and edit images using NVIDIA FLUX models. Use when user asks to generate images, create pictures, edit photos, or modify existing images with AI. Supports text-to-image generation and image editing with text prompts. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2863 次。
如何安装 Nvidia Image Gen?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install nvidia-image-gen」即可一键安装,无需额外配置。
Nvidia Image Gen 是免费的吗?
是的,Nvidia Image Gen 完全免费(开源免费),可自由下载、安装和使用。
Nvidia Image Gen 支持哪些平台?
Nvidia Image Gen 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 Image Gen?
由 TY-teo(@ty-teo)开发并维护,当前版本 v1.0.0。
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