Skills cliproxy-media

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.

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/bencoremans/cliproxy-media" ~/.claude/skills/openclaw-skills-cliproxy-media && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/bencoremans/cliproxy-media" ~/.openclaw/skills/openclaw-skills-cliproxy-media && rm -rf "$T"
manifest: skills/bencoremans/cliproxy-media/SKILL.md
source content

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
/
.jpeg
Requires valid JPEG data
Image
.png
Fully supported
Image
.gif
Fully supported
Image
.webp
Fully supported
Document
.pdf
Base64-encoded, via
document
content type
Image via URL
http://
/
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_URL
http://localhost:8317/v1/messages
Full endpoint URL
CLIPROXY_MODEL
claude-sonnet-4-6
Model 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"