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 agentmods add commands/mrgoonie/human-mcp/videogit clone --depth 1 https://github.com/mrgoonie/human-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/commands/mrgoonie/human-mcp/video)<a href="https://agentmods.dev/commands/mrgoonie/human-mcp/video"><img src="https://agentmods.dev/badge/commands/mrgoonie/human-mcp/video.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 | $0.00006 | $0.00420 |
| Opus 5 | $0.00003 | $0.00210 |
| Sonnet 5 | $0.00001 | $0.00084 |
| Haiku 4.5 | $0.00001 | $0.00042 |
Grade A, and why
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 5d 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
Think hard to plan & start designing follow exactly this video: $ARGUMENTS
Workflow:
- Use
eyesanalyze tool to describe super details of the video: be specific about describing every element, every interaction, every animation, every transition, every color, every font, every border, every spacing, every size, every shape, every texture, every material, every light, every shadow, every reflection, every refraction, every blur, every glow, every image, background transparency, etc.- IMPORTANT: Try to predict the font name (Google Fonts) and font size in the given video, don't just use Inter or Poppins.
- Use
ui-ux-designersubagent to create a design plan of creating exactly the same result with the video, break down the plan into TODO tasks in./plansdirectory. - Then implement the plan step by step.
- If user doesn't specify, create the design in pure HTML/CSS/JS.
- Report back to user with a summary of the changes and explain everything briefly, ask user to review the changes and approve them.
- If user approves the changes, update the
./docs/design-guideline.mddocs if needed.
Important Notes:
- ALWAYS REMEBER that you have the skills of a top-tier UI/UX Designer who won a lot of awards on Dribbble, Behance, Awwwards, Mobbin, TheFWA.
- Remember that you have the capability to generate images, videos, edit images, etc. with Human MCP Server tools. Use them to create the design with real assets.
- Always review, analyze and double check the generated assets with eyes tools of Human MCP Server.
- Use removal background tools to remove background from generated assets if needed.
- Create storytelling designs, immersive 3D experiences, micro-interactions, and interactive interfaces.
- Maintain and update
./docs/design-guideline.mddocs if needed.
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.
- 5d ago First seen · 23 lines · 6 tokens per session scan A 0211793677d0
video is a command published in the GitHub repository mrgoonie/human-mcp (294 stars, last pushed 5mo ago), licensed MIT. It adds 6 tokens to every session and 420 once invoked, about $0.0000 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 2026-08-30.
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