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在 OpenClaw 中安装
/install genvr-skills
功能描述
Generate images, videos, and process media using the GenVR API. Standalone Node.js CLI.
使用说明 (SKILL.md)
GenVR Skills — AI Media Generation & Utilities
Generate images, videos, and perform various media processing tasks using the GenVR API. This standalone Node.js toolkit provides a pure CLI for interacting with GenVR's asynchronous task pipeline.
IMPORTANT: Most operations require a GENVR_API_KEY and a GENVR_UID. Get them from api.genvrresearch.com.
Usage
Run via npx directly from the package:
List available models:
npx genvr-skills list
Generate content (unified):
npx genvr-skills generate --category imagegen --subcategory google_imagen3 prompt="A futuristic city in VR" height=1024 width=1024
Edit an image with Nano Banana 2:
npx genvr-skills generate --category imgutils --subcategory google_nano_banana_2 image_url="https://media.genvr.com/assets/..." prompt="add a futuristic helmet"
Check job status:
npx genvr-skills status --job-id "TASK_ID" --category "imagegen" --subcategory "google_imagen3"
Authentication
Authentication is handled via environment variables:
| Env Var | Description |
|---|---|
GENVR_API_KEY |
Your GenVR API Token |
GENVR_UID |
Your GenVR User ID |
Core Commands
list
Lists all available categories and subcategories.
--json: Output as raw JSON.
generate
The primary command for starting new generation tasks.
--category: The category of the model (e.g.,imagegen).--subcategory: The specific model variant (e.g.,google_imagen3).--filename: Optional output filename.--no-wait: Return immediately after starting the job.key=value: Model parameters (e.g.,prompt="cat",steps=25).
status
Retrieves the status or result of an existing task.
--job-id: The ID returned bygenerate.--category: Required for v2 status check.--subcategory: Required for v2 status check.
Examples
Generating a Cinematic 360 Panorama
npx genvr-skills generate --category 3dgen --subcategory panorama prompt="A hyper-realistic cinematic 360 panorama of an ancient bioluminescent forest at night, 8k resolution, ethereal lighting"
Professional Video Generation (Image-to-Video)
Use a high-quality model like Google Veo 3 for image-to-video translation:
npx genvr-skills generate --category videogen --subcategory google_veo3_i2v image_url="https://media.genvr.com/assets/..." prompt="The camera cinematicly glides through the scene as the bioluminescent plants begin to glow intensely, soft wind blowing through the leaves, masterpiece quality"
Filename Pattern
Generated files follow the pattern: yyyy-mm-dd-hh-mm-ss-category.ext.
Tips
- Run
listfrequently to see new tools added to the platform. - Use
--no-waitfor video generation tasks, as they may take several minutes. - Most models follow the standard OpenAPI schema; details at
api.genvrresearch.com.
安全使用建议
This package appears to do what it claims: a small Node.js CLI that calls api.genvrresearch.com and needs GENVR_API_KEY and GENVR_UID. Before installing or running it, 1) verify the credentials come from the legitimate GenVR provider and use unique API keys (do not reuse high-privilege keys). 2) Remove or inspect any .env file in the working directory — the CLI will auto-load .env and may read any secrets stored there even though it only sends the GenVR API key to the service. 3) If you have concerns about provenance, run the CLI in an isolated environment (container or sandbox) and review the small bin/genvr.js source (it is bundled and readable) before use. 4) Note small documentation inconsistencies (index.js comment about Python and minor name/bin references) — these are likely editorial and not security issues but worth confirming the package source if you require a verified publisher.
功能分析
Type: OpenClaw Skill
Name: genvr-skills
Version: 1.0.2
The genvr-skills bundle is a legitimate Node.js CLI tool for interacting with the GenVR API to generate images and videos. The core logic in bin/genvr.js uses standard Node.js modules (https, fs) to handle API requests, polling, and file downloads without any external dependencies. It follows standard practices for authentication via environment variables and includes no evidence of data exfiltration, malicious execution, or prompt injection.
能力标签
能力评估
Purpose & Capability
Name/description, declared env vars, and the CLI code all match the stated purpose of interacting with the GenVR API (endpoints under api.genvrresearch.com). No unrelated credentials, binaries, or services are requested.
Instruction Scope
SKILL.md instructs the agent to run the Node CLI and to set GENVR_API_KEY and GENVR_UID only, which matches the code. One implementation detail is not documented: bin/genvr.js automatically loads a .env file from the current working directory if present, which could expose local environment values to the skill at runtime. The code only uses GENVR_API_KEY and GENVR_UID for API calls, but reading .env is implicit behavior that the SKILL.md does not call out.
Install Mechanism
There is no install spec (instruction-only), and the included code is pure Node.js with no external downloads or package installations. No high-risk install mechanism or external URL extraction is present.
Credentials
The skill declares only GENVR_API_KEY and GENVR_UID, which are appropriate and sufficient for the API usage. The implementation also loads a .env file from the working directory (if present) — this may read other local secrets though the code does not transmit arbitrary env values. Users should ensure their .env contains only intended GenVR credentials.
Persistence & Privilege
The skill does not request always:true or elevated privileges, does not modify other skills' configuration, and is not requesting persistent platform-level presence. Agent autonomous invocation remains allowed (platform default).
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 genvr-skills - 安装完成后，直接呼叫该 Skill 的名称或使用
/genvr-skills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
v1.0.2
- Switched to a standalone Node.js CLI; Python scripts and related documentation were removed.
- Added a LICENSE file.
- Updated usage instructions to use `npx genvr-skills` commands.
- Simplified authentication to only use environment variables.
- Revised core command list and task status retrieval requirements.
- Updated and streamlined documentation with new examples, commands, and usage patterns.
v1.0.1
Initial release with OpenClaw metadata and JavaScript/Node.js entry points.
- Added LICENSE, bin/genvr.js (CLI entry), and index.js files.
- Enhanced SKILL.md with OpenClaw environment variable requirements for GENVR_API_KEY and GENVR_UID.
- Updated description for broader media management and upscaling scenarios.
- No breaking changes to CLI usage or API documentation.
v1.0.0
- Initial release of genvr-skills.
- Generate images, videos, and process media using the GenVR API from the command line.
- Includes CLI scripts for listing models, generating content, uploading assets, and checking job status.
- Supports categories such as image generation, video generation, and utilities.
- Requires API key and user ID for most operations.
元数据
常见问题
GenVR Skills 是什么？
Generate images, videos, and process media using the GenVR API. Standalone Node.js CLI. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 85 次。
如何安装 GenVR Skills？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install genvr-skills」即可一键安装，无需额外配置。
GenVR Skills 是免费的吗？
是的，GenVR Skills 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
GenVR Skills 支持哪些平台？
GenVR Skills 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 GenVR Skills？
由 genvrlabs（@genvrlabs）开发并维护，当前版本 v1.0.2。
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