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 godot-fun/godot-framework --skill video-to-4kgit clone --depth 1 https://github.com/godot-fun/godot-frameworkWrote 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/godot-fun/godot-framework/video-to-4k)<a href="https://agentmods.dev/skills/godot-fun/godot-framework/video-to-4k"><img src="https://agentmods.dev/badge/skills/godot-fun/godot-framework/video-to-4k/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/godot-fun/godot-framework/video-to-4k"><img src="https://agentmods.dev/badge/skills/godot-fun/godot-framework/video-to-4k.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00136 | $0.01504 |
| Opus 5.5 | $0.00054 | $0.00602 |
| Sonnet 5.5 | $0.00027 | $0.00301 |
| Haiku 4.5 | $0.00014 | $0.00150 |
Grade A, and why
video-to-4k 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 1mo 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video to 4K
Convert a supported video to a unified 4K master:
| Spec | Value |
|---|---|
| Resolution | 3840×2160 |
| Frame rate | Source fps kept (no fps= filter, no RIFE) |
| Video | H.265 Main10 (libx265, yuv420p10le) |
| Video bitrate | 40 Mbps |
| Audio | AAC 320 kbps |
| Container | MP4 (.mp4, hvc1 tag) |
Pipeline
- Probe with ffprobe (width, height, fps, audio).
- Already 4K? (
width �?3840andheight �?2160) �?skip Video2X. - Below 4K �?Video2X Real-ESRGAN upscale (scale 2 or 4) to intermediate under
video-to-4k/upscaled/. - Always FFmpeg final encode �?
video-to-4k/at the unified specs above.
Rules
When this skill applies, read and follow skill-dependency-manager �?run scripts as documented, install missing tools into .dependency/.
- Run
convert.pythrough.dependency/python/python. Never use hostpython/ffmpeg/video2x. - Never overwrite sources. Outputs go under
video-to-4k/(final) andvideo-to-4k/upscaled/(Video2X intermediate). - Use the bundled script �?do not hand-write equivalent
video2x/ffmpegcommands. - One file per run �?pass
--videowith a single file; repeat for each clip in a batch.
Setup (first run)
FFmpeg + Python
Populate ffmpeg and python under .dependency/ per skill-dependency-manager.
Video2X (CLI)
Download the CLI release (not the Qt6 installer) from video2x releases and extract to .dependency/video2x/:
| Platform | Release asset |
|---|---|
| Windows | video2x-windows-amd64.zip �?video2x.exe |
| Linux | Video2X-x86_64.AppImage (or distro package) �?register as bin |
Register in .dependency/manifest.json:
"video2x": {
"populated": true,
"bin": ".dependency/video2x/video2x.exe"
}
Use video2x (no .exe) or the AppImage path on Unix. Requires a Vulkan GPU and AVX2 CPU. Docs: Command Line.
What ships with it
1 file 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.
- 1mo ago First seen · 129 lines · 136 tokens per session scan A d04543144caf
video-to-4k is a skill published in the GitHub repository godot-fun/godot-framework (116 stars, last pushed 1mo ago), licensed MIT. It adds 136 tokens to every session and 1,504 once invoked, about $0.0005 per session on Opus 5.5. 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.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
next-cache-components-optimizer
Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…