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cliproxy-media剪辑 Agent 媒体

Agent Skill

cliproxy-media 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。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

9,196

周安装

391

GitHub Stars

公开资料未说明

下载量

3,222
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:cliproxy-media(剪辑 Agent 媒体)
来源仓库:https://github.com/bencoremans/cliproxy-media
安装命令:
openclaw skills install cliproxy-media
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 cliproxy-media

简介

cliproxy-media 通过 CLIProxyAPI 分析图像和 PDF 文件,提供视觉内容理解能力。

  • 适合需要自动识别图表、签名或文档布局的智能办公场景。
  • 利用 Claude Max 代理处理高复杂度视觉推理任务,降低调用成本。
  • 通过 clawhub 安装,需确保订阅账户已开通图像分析额度。
  • 输出结果仅供参考,关键决策仍建议人工二次确认准确性。

SKILL.md

name
cliproxy-media
description
Analyze images (jpg, png, gif, webp) and PDFs via CLIProxyAPI — a Claude Max proxy that routes requests through your subscription at zero extra cost. Use this skill whenever you need to analyze, describe, or extract information from an image or photo ("analyze image", "describe photo", "what is in this picture"), read or summarize a PDF document ("read PDF", "summary of this document"), or process any media file via a CLIProxy-compatible endpoint ("process media via proxy", "cliproxy vision", "cliproxy media"). NEVER use the built-in image or pdf tools when using CLIProxyAPI — they fall back to direct Anthropic API which requires separate credits. Use this skill instead for all vision and document analysis tasks.

cliproxy-media

Source: https://github.com/bencoremans/site/tree/main/skills/cliproxy-media

Analyze images and PDFs via CLIProxyAPI (Claude Max subscription, zero extra cost).

Setup

Set the endpoint to your CLIProxy instance:

export CLIPROXY_URL=http://your-host:8317/v1/messages

For Docker setups, replace your-host with your container hostname (e.g. cliproxyapi, localhost, or the container IP).

Quick start

# Analyze an image
python3 skills/cliproxy-media/scripts/analyze.py /path/to/image.jpg "What is in this image?"

# Read a PDF
python3 skills/cliproxy-media/scripts/analyze.py /path/to/document.pdf "Give a summary"

# Compare multiple images
python3 skills/cliproxy-media/scripts/analyze.py img1.jpg img2.jpg "Compare these images"

# With streaming (output appears immediately)
python3 skills/cliproxy-media/scripts/analyze.py --stream image.jpg "Describe in detail"

# With system prompt
python3 skills/cliproxy-media/scripts/analyze.py --system "You are a medical expert" scan.jpg "What do you see?"

# With higher token limit
python3 skills/cliproxy-media/scripts/analyze.py --max-tokens 4096 document.pdf "Extensive analysis"

What works ✅ / What doesn't ❌

✅ Supported file types

TypeFormatNote
Image.jpg / .jpegRequires valid JPEG data
Image.pngFully supported
Image.gifFully supported
Image.webpFully supported
Document.pdfBase64-encoded, via document content type
Image via URLhttp:// / https://Direct URL reference, no download needed

Multiple files at once: Provide multiple paths before the question. Max ~100 per request (Anthropic limit).

❌ Not supported

  • Office files (.docx, .xlsx, .pptx) — Workaround: convert to PDF
  • Audio (.mp3, .wav, .ogg) — Use Whisper for transcription
  • Video (.mp4, .mov, .avi) — Not supported by the model
  • Other document types (.txt, .html, .md as document) — Send text directly as a string

⚠️ System prompt warning

CLIProxyAPI accepts only the array notation for system prompts. The string notation is silently ignored — the model does not see it, but you also won't get an error message!

# ❌ DOES NOT WORK — ignored without error message
payload["system"] = "You are an expert."

# ✅ WORKS — always use array notation
payload["system"] = [{"type": "text", "text": "You are an expert."}]

The --system argument in analyze.py automatically uses the correct array notation.

Configuration (env vars)

VariableDefaultDescription
CLIPROXY_URLhttp://localhost:8317/v1/messagesFull endpoint URL
CLIPROXY_MODELclaude-sonnet-4-6Model to use

Example:

export CLIPROXY_URL=http://localhost:8317/v1/messages
export CLIPROXY_MODEL=claude-opus-4-6
python3 skills/cliproxy-media/scripts/analyze.py image.jpg "question"

Additional options

--stream          Streaming output via SSE (output appears immediately)
--system TEXT     System prompt (automatically sent as array)
--max-tokens N    Maximum output tokens (default: 1024)
--model MODEL     Model override (overrides CLIPROXY_MODEL)
--url URL         Endpoint override (overrides CLIPROXY_URL)

Compatibility

This script works with any API that supports the Anthropic Messages format:

ProviderCompatibleNote
CLIProxyAPI✅ YesPrimarily tested, system prompt array required
OpenRouter✅ YesUse Bearer token instead of x-api-key: dummy
LiteLLM✅ YesAs proxy for Anthropic format
Anthropic direct✅ YesUse ANTHROPIC_API_KEY as x-api-key

Note for non-CLIProxy endpoints: Some proxies do accept string notation for system prompts. Always use array notation for maximum compatibility.

Known limitations of CLIProxyAPI

  • temperature and top_p may not be used at the same time (HTTP 400)
  • PDF as document with URL source does not work (Unable to download the file)
  • Only claude-sonnet-4-6 and claude-opus-4-6 available (haiku is deprecated)
  • inference_geo is always not_available in the response

Direct Python API

If you want to call the script from your own Python code:

import subprocess, json

result = subprocess.run(
    ["python3", "skills/cliproxy-media/scripts/analyze.py", "image.jpg", "Describe this"],
    capture_output=True, text=True
)
print(result.stdout)

Or use the built-in exec tool:

exec: python3 skills/cliproxy-media/scripts/analyze.py /path/to/image.jpg "question"

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

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

78.55%
按下载量换算2,531

安全审计

VirusTotal

可疑

ClawScan

可疑

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。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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