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vlmrun-cli-skillvlmrun CLI 技能

Agent Skill

vlmrun-cli-skill 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

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周安装

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GitHub Stars

2

下载量

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:vlmrun-cli-skill(vlmrun CLI 技能)
来源仓库:https://github.com/spillai/vlmrun-cli-skill
安装命令:
openclaw skills install vlmrun-cli-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install vlmrun-cli-skill

简介

使用 VLM Run CLI (`vlmrun`) 与 Orion 视觉 AI 代理交互。使用自然语言处理图像、视频和文档。触发器:图像理解/生成、对象检测、OCR、视频摘要、文档提取、图像生成、视觉 AI 聊天、“生成图像/视频”、“分析此图像/视频”、“从中提取文本”、“总结此视频”、“处理此 PDF”。

SKILL.md

name
vlmrun-cli-skill
description
Use the VLM Run CLI (vlmrun) to interact with Orion visual AI agent. Process images, videos, and documents with natural language. Triggers: image understanding/generation, object detection, OCR, video summarization, document extraction, image generation, visual AI chat, 'generate an image/video', 'analyze this image/video', 'extract text from', 'summarize this video', 'process this PDF'.

VLM Run CLI

Chat with VLM Run's Orion visual AI agent via CLI.

Setup

uv venv && source .venv/bin/activate
uv pip install "vlmrun[cli]"

Environment Variables

You must load the following variables in your environment so that the CLI can use them. You may load the ./env file to your environment.

VariableTypeDescription
VLMRUN_API_KEYRequiredYour VLM Run API key (required)
VLMRUN_BASE_URLOptionalBase URL (default: https://agent.vlm.run/v1)
VLMRUN_CACHE_DIROptionalCache directory (default: ~/.vlmrun/cache/artifacts/)

Command

vlmrun chat "<prompt>" -i input.jpg [options]

Options

FlagDescription
-p, --promptPrompt text, file path, or stdin
-i, --inputInput file(s) - images, videos, docs (repeatable)
-o, --outputArtifact directory (default: ~/.vlmrun/cache/artifacts/)
-m, --modelvlmrun-orion-1:fast, vlmrun-orion-1:auto (default), vlmrun-orion-1:pro
-s, --sessionOptional session ID to continue a previous session
-j, --jsonRaw JSON output
-ns, --no-streamDisable streaming
-nd, --no-downloadSkip artifact download

Examples

Images

vlmrun chat "Describe what you see in this image in detail" -i photo.jpg
vlmrun chat "Detect and list all objects visible in this scene" -i scene.jpg
vlmrun chat "Extract all text and numbers from this document image" -i document.png
vlmrun chat "Compare these two images and describe the differences" -i before.jpg -i after.jpg

Image Generation

vlmrun chat "Generate a photorealistic image of a cozy cabin in a snowy forest at sunset" -o ./generated
vlmrun chat "Remove the background from this product image and make it transparent" -i product.jpg -o ./output

Video

vlmrun chat "Summarize the key points discussed in this meeting video" -i meeting.mp4
vlmrun chat "Find the top 3 highlight moments and create short clips from them" -i sports.mp4
vlmrun chat "Transcribe this lecture with timestamps for each section" -i lecture.mp4 --json

Video Generation

vlmrun chat "Generate a 5-second video of ocean waves crashing on a rocky beach at golden hour" -o ./videos
vlmrun chat "Create a smooth slow-motion video from this image" -i ocean.jpg -o ./output

Documents

vlmrun chat "Extract the vendor name, line items, and total amount" -i invoice.pdf --json
vlmrun chat "Summarize the key terms and obligations in this contract" -i contract.pdf

Prompt Sources

# Direct prompt
vlmrun chat "What objects and people are visible in this image?" -i photo.jpg

# Prompt from file
vlmrun chat -p long_prompt.txt -i photo.jpg

# Prompt from stdin
echo "Describe this image in detail" | vlmrun chat - -i photo.jpg

Continuing a previous session

If you want to keep the past conversation and generated artifacts in context, you can use the -s flag to continue a previous session using the session ID generated when you started the session.

# Start a new session of an image generation task where a new character is generated
vlmrun chat "Create an iconic scene of a ninja in a forest, practicing his skills with a katana?" -i photo.jpg

# Use the previous chat session in context to retain the same character and scene context (where the session ID is <session_id>)
vlmrun chat "Create a new scene with the same character meditating under a tree" -i photo.jpg -s <session_id>

Skipping artifact download

If you want to skip the artifact download, you can use the -nd flag.

vlmrun chat "What objects and people are visible in this image?" -i photo.jpg -nd

Notes

  • Use -o ./<directory> to save generated artifacts (images, videos) relative to your current working directory
  • Without -o, artifacts save to ~/.vlmrun/cache/artifacts/<session_id>/
  • Multiple input files upload concurrently

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

72.75%
按下载量换算8,212

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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