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Vultr Inference
作者
happytreees
· GitHub ↗
· v1.1.2
· MIT-0
181
总下载
0
收藏
0
当前安装
4
版本数
在 OpenClaw 中安装
/install vultr-inference
功能描述
Generate images and text using Vultr Inference API. Supports Flux image generation and various LLMs for text. Use when user wants to generate images, artwork...
安全使用建议
This skill appears to do what it says: call Vultr Inference endpoints and download results. Before installing, consider: (1) the API key is read from ~/.config/vultr/api_key (plain text) — restrict that file's permissions (e.g., chmod 600) and ensure the key has only inference permissions; (2) SKILL.md examples also use $VULTR_API_KEY — decide which method you'll use and update docs if needed; (3) the script's default/allowed model names differ from some examples, so verify correct model IDs with your Vultr account if you see 400 errors; (4) generated images are written to the current directory — run the tool in a safe folder if you worry about overwriting files. If you want extra assurance, inspect the script locally (it is short and readable) before enabling autonomous invocation.
功能分析
Type: OpenClaw Skill
Name: vultr-inference
Version: 1.1.2
The skill bundle provides a legitimate interface for interacting with the Vultr Inference API for image and text generation. It correctly identifies its requirement for a Vultr API key stored at `~/.config/vultr/api_key` and communicates exclusively with official Vultr endpoints (api.vultrinference.com). The Python script (vultr-inference.py) and documentation (SKILL.md) contain no evidence of data exfiltration, malicious execution, or prompt injection.
能力评估
Purpose & Capability
Name/description (Vultr Inference) align with the code and SKILL.md: the script and examples call Vultr inference endpoints and download generated images. The only credential it needs is the Vultr API key stored in ~/.config/vultr/api_key, which is coherent with the stated purpose.
Instruction Scope
Overall instructions stay within scope (call inference endpoints, download images, list models). Minor inconsistencies: SKILL.md examples show using an environment variable ($VULTR_API_KEY) while the setup and included Python/script both read the API key from ~/.config/vultr/api_key; model naming in examples (e.g., flux.1-schnell, stable-diffusion-3.5-medium) differs from some defaults/options in the script (which uses short names like 'flux' and 'flux-pro'). These could cause confusion or errors but are not evidence of malice.
Install Mechanism
Instruction-only with a single helper script; there is no install spec or remote download. Nothing is written to system locations by an installer. Low-risk from installation perspective.
Credentials
The skill only accesses a single local file (~/.config/vultr/api_key) for the Vultr API key which is proportionate to its purpose. Caveats: the README also shows use of an env var ($VULTR_API_KEY) that is not declared as required; the skill expects the key stored in plain text, so users should protect file permissions and ensure the key has minimal privileges.
Persistence & Privilege
Skill does not request always:true, does not modify other skills or global settings, and does not persist beyond reading the API key and writing downloaded images to the current directory. Normal privileges for this kind of helper.
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 vultr-inference - 安装完成后，直接呼叫该 Skill 的名称或使用
/vultr-inference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
v1.1.2
- Fixed model name typo: changed "stable-diffusion-3-5-medium" to "stable-diffusion-3.5-medium" in documentation.
- Updated all references and usage instructions to match the correct model name.
v1.1.1
- Updated image model names from `flux-1-*` to `flux.1-*` throughout documentation.
- Removed image models `flux-1-schnell`, `flux-1-dev`, `stable-diffusion-3-5-large`, and `stable-diffusion-3-5-large-turbo` from documentation; only `flux.1-dev`, `flux.1-schnell`, and `stable-diffusion-3-5-medium` are now listed.
- Updated example commands and code snippets to use the new model name format (e.g., `flux.1-schnell`).
- Made minor clarifications in the "Available Models" and parameters tables.
v1.1.0
- Updated image generation model options to include new FLUX.1 and Stable Diffusion 3.5 models.
- Revised default and example models for image generation to reflect new offerings.
- Improved documentation for available image models with descriptions.
- Updated Python example to use new model names and sizes.
- No changes to text generation models or API usage.
v1.0.0
Initial release of vultr-inference.
- Generate images with Vultr Inference API using Flux models.
- Generate text with several supported LLMs, including Meta Llama 3.1 and Mixtral.
- Simple API key setup using Vultr Cloud credentials.
- Includes examples for image and text generation via cURL and Python.
- Troubleshooting and rate limit guidance provided.
元数据
常见问题
Vultr Inference 是什么？
Generate images and text using Vultr Inference API. Supports Flux image generation and various LLMs for text. Use when user wants to generate images, artwork... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 181 次。
如何安装 Vultr Inference？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install vultr-inference」即可一键安装，无需额外配置。
Vultr Inference 是免费的吗？
是的，Vultr Inference 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Vultr Inference 支持哪些平台？
Vultr Inference 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 Vultr Inference？
由 happytreees（@happytreees）开发并维护，当前版本 v1.1.2。
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