analyze-video

analyze-video is a command for Claude Code from kirillbrsnkv/give-claude-eyes. It costs 10 tokens per session (411 once invoked), scanned A, original, MIT.

A command for sending a video or image to Qwen Omni, an external AI service for visual analysis. It returns the result as readable text.

In plain words
What is it for?
Use it to describe footage, answer questions about a file, classify or compare media, analyze several files, or save the results.
Why use it?
It handles the setup checks and file lookup needed to analyze a local media file.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the give-claude-eyes plugin — 1 skill, 2 commands shipped together

Good fit Use it to describe footage, answer questions about a file, classify or compare media, analyze several files, or save the results.

Compare 6 commands from other repositories ↓
Install

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.

Claude Code
/plugin marketplace add kirillbrsnkv/give-claude-eyes
Claude Code
/plugin install give-claude-eyes

Made for: Claude Code.

Or install give-claude-eyes, the plugin that ships this one along with the rest of its 1 skill, 2 commands.

Wrote 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.

agentmods badge for analyze-video

README.md
[![agentmods](https://agentmods.dev/badge/commands/kirillbrsnkv/give-claude-eyes/analyze-video/github.svg)](https://agentmods.dev/commands/kirillbrsnkv/give-claude-eyes/analyze-video)
Your own site
<a href="https://agentmods.dev/commands/kirillbrsnkv/give-claude-eyes/analyze-video"><img src="https://agentmods.dev/badge/commands/kirillbrsnkv/give-claude-eyes/analyze-video/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.

agentmods 80×15 button for analyze-video

Your own site · 80×15
<a href="https://agentmods.dev/commands/kirillbrsnkv/give-claude-eyes/analyze-video"><img src="https://agentmods.dev/badge/commands/kirillbrsnkv/give-claude-eyes/analyze-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 411 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00010 $0.00411
Opus 5 $0.00005 $0.00205
Sonnet 5 $0.00002 $0.00082
Haiku 4.5 $0.00001 $0.00041

Measured 12d ago against content hash 706e0696f72e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

analyze-video 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.

commands/analyze-video.md · 49 lines

What it actually says

Analyze a video or image file using the Qwen Vision Bridge.

Input

  • $1 — path to the video or image file
  • Remaining arguments ($ARGUMENTS minus $1) — optional analysis prompt. If not provided, use a general analysis prompt appropriate to the file type.

Steps

  1. Verify the file exists at the given path. If not, search the current directory and workspace for a matching filename.

  2. Check that DASHSCOPE_API_KEY is set:

    echo $DASHSCOPE_API_KEY | head -c 5
    

    If empty, tell the user to run /qwen-setup first.

  3. Ensure dashscope is installed:

    python3 -c "import dashscope" 2>&1
    

    If missing, install it: pip install dashscope --break-system-packages

  4. Run the bridge:

    python3 "${CLAUDE_PLUGIN_ROOT}/skills/qwen-vision/scripts/qwen_bridge.py" "$1" "prompt here" --fps 2
    
  5. Present the analysis to the user in a clean, readable format. If the user's prompt implies structured output (classification, comparison, scoring), format accordingly.

  6. Ask if the user wants to:

    • Follow up with more questions about the same video (use --save-context)
    • Analyze another file
    • Save the analysis to a file

For batch analysis

If the user provides a directory path or glob pattern instead of a single file, write a batch script following the pattern in ${CLAUDE_PLUGIN_ROOT}/skills/qwen-vision/references/batch-pattern.md and run it.

Changes

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.

  1. 12d ago First seen · 49 lines · 10 tokens per session scan A 706e0696f72e

Subscribe to this mod's changes

analyze-video is a command published in the GitHub repository kirillbrsnkv/give-claude-eyes (8 stars, last pushed 5mo ago), licensed MIT. It adds 10 tokens to every session and 411 once invoked, about $0.0001 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.