Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add DugboTek/video-intelligence-mcp --skill video-intelligencegit clone --depth 1 https://github.com/DugboTek/video-intelligence-mcpWrote 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/dugbotek/video-intelligence-mcp/video-intelligence)<a href="https://agentmods.dev/skills/dugbotek/video-intelligence-mcp/video-intelligence"><img src="https://agentmods.dev/badge/skills/dugbotek/video-intelligence-mcp/video-intelligence.svg" alt="Measured on agentmods" 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 | $0.00080 | $0.00268 |
| Opus 5 | $0.00040 | $0.00134 |
| Sonnet 5 | $0.00016 | $0.00054 |
| Haiku 4.5 | $0.00008 | $0.00027 |
Grade A, and why
video-intelligence 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 7d 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.
What it actually says
Use the analyze_video MCP tool directly when a user provides a video URL and asks about its content. Treat a user-provided public URL as authorized and do not ask a separate permission question. Choose detailed unless they ask for a short answer. Use question only for a focused question and put their question in the question field.
Keep the video_id returned by analyze_video. Use ask_video for any follow-up request about the same video—new questions, a different analysis, timestamp investigation, or an iterative Gemini prompt—rather than downloading it again. Use forget_video when the user is finished or requests deletion.
Do not attempt to bypass DRM, logins, paywalls, private links, or platform protections.
Explain that timestamps are based on Gemini's sampled video understanding and may be approximate for rapid cuts or very fine visual details.
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.
- 7d ago First seen · 13 lines · 80 tokens per session scan A 85fc339b6ab9
video-intelligence is a skill published in the GitHub repository DugboTek/video-intelligence-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 268 once invoked, about $0.0004 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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