Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add kirillbrsnkv/give-claude-eyes/plugin install give-claude-eyesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kirillbrsnkv/give-claude-eyes/qwen-vision)<a href="https://agentmods.dev/skills/kirillbrsnkv/give-claude-eyes/qwen-vision"><img src="https://agentmods.dev/badge/skills/kirillbrsnkv/give-claude-eyes/qwen-vision/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kirillbrsnkv/give-claude-eyes/qwen-vision"><img src="https://agentmods.dev/badge/skills/kirillbrsnkv/give-claude-eyes/qwen-vision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00125 | $0.01201 |
| Opus 5 | $0.00063 | $0.00600 |
| Sonnet 5 | $0.00025 | $0.00240 |
| Haiku 4.5 | $0.00013 | $0.00120 |
Grade A, and why
qwen-vision scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Qwen Vision Bridge
Claude cannot natively understand video. This skill bridges that gap by calling Qwen Omni — a natively multimodal model that processes video with temporal attention (it sees motion, not just individual frames).
The bridge also handles images, useful when you want Qwen's analysis on screenshots, diagrams, or photos.
How it works
A Python script at ${CLAUDE_PLUGIN_ROOT}/skills/qwen-vision/scripts/qwen_bridge.py sends media files to the Qwen API and returns the analysis as text. Call it via Bash.
Prerequisites
The user must have:
DASHSCOPE_API_KEYenvironment variable set (get one at https://dashscope.console.aliyun.com/ or https://modelstudio.console.alibabacloud.com/)- Python 3.9+ with
dashscopepackage installed
If the user hasn't set up yet, suggest running /qwen-setup first.
Basic usage
python3 "${CLAUDE_PLUGIN_ROOT}/skills/qwen-vision/scripts/qwen_bridge.py" "/path/to/video.mp4" "Describe what happens in this video"
Parameters
| Flag | Default | Description |
|---|---|---|
| (positional 1) | required | Path to video or image file |
| (positional 2) | generic prompt | Analysis prompt |
--fps |
2.0 | Frames per second to sample from video. Lower = cheaper, higher = more detail |
--model |
qwen-omni-plus-latest | Qwen model to use |
--json |
off | Output as JSON (for parsing) |
--context |
none | Path to JSON file with previous conversation (multi-turn) |
--save-context |
none | Save conversation context for follow-up questions |
--system-prompt |
none | Custom system prompt for Qwen |
--prompt-file |
none | Read prompt from a file instead of argument |
Supported formats
Video: .mp4, .mov, .avi, .mkv, .webm, .flv, .wmv Image: .png, .jpg, .jpeg, .gif, .webp, .bmp, .tiff
Patterns
Single video analysis
python3 "${CLAUDE_PLUGIN_ROOT}/skills/qwen-vision/scripts/qwen_bridge.py" "/path/to/video.mp4" "Describe the character's body movement, poses, and transitions" --fps 2
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 110 lines · 125 tokens per session scan A 0a8eda699fed
qwen-vision is a skill published in the GitHub repository kirillbrsnkv/give-claude-eyes (8 stars, last pushed 5mo ago), licensed MIT. It adds 125 tokens to every session and 1,201 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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