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multimedia-manager多媒体管理器

Agent Skill

multimedia-manager 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

5,361

周安装

219

GitHub Stars

1

下载量

1,734
OpenClaw

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:multimedia-manager(多媒体管理器)
来源仓库:https://github.com/nuoguo/multimedia-manager
安装命令:
openclaw skills install multimedia-manager
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 multimedia-manager

简介

自托管代理,可通过自动重复数据删除、全文搜索、相册、收藏夹和响应式网络图库来组织、搜索和浏览图像和视频。

SKILL.md

Multimedia Manager (Community Edition)

Version 1.0.6 | Author: nuoguiAI | Changelog

A self-hosted multimedia management agent — organize, search, and browse all your images and videos with a beautiful web gallery. All data stays local on your machine.

多媒体管理 Agent 社区版 — 图片视频管理、搜索、Web 画廊。数据完全本地存储。

Features

  • Import: Images and videos with auto-deduplication (SHA256)
  • Search: Full-text search (FTS5) across descriptions and tags
  • Gallery: Responsive web gallery with infinite scroll
  • Albums: Create and manage photo albums
  • Favorites: Star your best photos
  • CLI: Command-line tools for import, search, and management
  • Categories: Organize by type (ai-generated, family, screenshots, etc.)

Pro Edition (Available Separately)

Contact: xujk2012@gmail.com

Upgrade for advanced features:

  • AI auto-tagging (Qwen-VL vision model)
  • Face recognition and clustering (InsightFace)
  • GPS map view with photo markers
  • Semantic search with embeddings
  • Timeline and Memories
  • Duplicate detection
  • Resumable chunked uploads
  • Feishu/Lark integration
  • Share links and multi-user support

Security & Permissions

This skill runs entirely on your local machine. Here's what it accesses and why:

ResourceWhyScope
File systemRead/write images to ~/.image-vaultOnly IMAGE_VAULT_DIR directory
SQLite databaseStore image metadata (no images in DB)~/.image-vault/image_vault.db
Local HTTP serverWeb gallery UI on 127.0.0.1Localhost only, token-protected
Python packagesFlask, Pillow, PyYAML (via pip)Standard packages

No data leaves your machine after initial setup. No telemetry, no cloud sync, no external API calls. The setup.sh script performs a one-time pip install (requires network) to install 3 Python packages (Flask, Pillow, PyYAML) and creates the vault directory. You can review it before running or install dependencies manually.

Environment Variables

All environment variables used by this skill are explicitly declared below. See .env.example for a ready-to-copy template.

VariableRequiredDescriptionDefault
IMAGE_VAULT_TOKENYesAuthentication token for the web gallery. Auto-generated by setup.sh._(none)_
IMAGE_VAULT_DIRNoRoot directory for image storage.~/.image-vault
IMAGE_VAULT_HOSTNoServer bind address.127.0.0.1
IMAGE_VAULT_DBNoPath to the SQLite database file.<IMAGE_VAULT_DIR>/image_vault.db
PORTNoWeb gallery server port.9876

These are the only environment variables read by this skill.

Behavior Transparency

The following behaviors may be flagged by security scanners. All are intentional and required for the skill to function:

BehaviorWhyDetails
setup.sh runs pip installOne-time dependency installInstalls Flask, Pillow, PyYAML from PyPI. Requires network. You can install manually instead: pip install Flask Pillow PyYAML
Reads .env fileLoad config without exporting shell varsStandard dotenv pattern. Only reads from the skill's own directory. See .env.example for all supported keys
cleanup_inbound.py deletes filesRemove processed import filesOnly deletes files in <IMAGE_VAULT_DIR>/inbound/ (configurable via --dir). Controlled via --days flag (default: 7 days)
Subprocess calls (ffmpeg/ffprobe)Extract video metadata and thumbnailsOptional — video features degrade gracefully if these binaries are not installed. No other subprocess calls are made

Quick Start

# 1. Review and run setup (installs Flask, Pillow, PyYAML)
bash setup.sh

# 2. Start gallery (localhost only by default)
python3 scripts/image_cli.py serve --port 9876

Open http://localhost:9876 and enter your token.

CLI Commands

# Import
python3 scripts/image_cli.py import /path/to/photos --source uploaded

# Search
python3 scripts/image_cli.py search "sunset" --json

# Stats
python3 scripts/image_cli.py stats

# Start gallery
python3 scripts/image_cli.py serve --port 9876

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

74.53%
按下载量换算1,292

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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。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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