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-60fpsgit 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-60fps)<a href="https://agentmods.dev/skills/godot-fun/godot-framework/video-to-60fps"><img src="https://agentmods.dev/badge/skills/godot-fun/godot-framework/video-to-60fps/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-60fps"><img src="https://agentmods.dev/badge/skills/godot-fun/godot-framework/video-to-60fps.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 | $0.00109 | $0.01300 |
| Opus 5 | $0.00055 | $0.00650 |
| Sonnet 5 | $0.00022 | $0.00260 |
| Haiku 4.5 | $0.00011 | $0.00130 |
Grade A, and why
video-to-60fps 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 11d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video to 60fps
Convert a supported video to 60fps at the source resolution via Video2X RIFE. Run this before video-to-4k.
| Spec | Value |
|---|---|
| Frame rate | 60 FPS |
| Resolution | Unchanged |
| Already ~60fps (59.5�?0.5, includes 59.94) | Skip �?no output file |
| Below 60fps | Video2X RIFE interpolate, then snap to 60 |
| Above 60fps | FFmpeg fps=60 drop (RIFE cannot reduce fps) |
| Video | H.265 Main10 (libx265, yuv420p10le, CRF 12) |
| Audio | AAC 320 kbps when present |
| Container | MP4 (.mp4, hvc1 tag) |
Pipeline
- Probe fps with ffprobe.
- Already ~60? �?skip (do nothing).
- Above 60? �?FFmpeg drop to 60fps �?
video-to-60fps/. - Below 60? �?Video2X RIFE (
-minteger multiplier) at source resolution �?FFmpeg to exact 60fps MP4 �?video-to-60fps/.
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-60fps/. - 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. - Do not use FFmpeg
fps=60duplication to fake 60fps on below-60 sources.
Setup (first run)
Same Video2X CLI + FFmpeg + Python as video-to-4k. Populate ffmpeg, python, and video2x under .dependency/. Requires a Vulkan GPU and AVX2 CPU.
Quick Start
.dependency/python/python .ai/video-to-60fps/convert.py --video path/to/clip.mp4
Example:
assets/video/clip.mp4 (1280×720 24fps)
�?assets/video/video-to-60fps/clip.mp4 (1280×720 60fps)
Already-60fps source �?no output file; log [skip].
Then upscale (fps kept):
.dependency/python/python .ai/video-to-4k/convert.py --video assets/video/video-to-60fps/clip.mp4
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.
- 11d ago First seen · 108 lines · 109 tokens per session scan A b957c9cdea48
video-to-60fps is a skill published in the GitHub repository godot-fun/godot-framework (116 stars, last pushed 11d ago), licensed MIT. It adds 109 tokens to every session and 1,300 once invoked, about $0.0005 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.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.
chengfeng-check-updates
An environment manager for a video-editing system. It checks whether its skills and runtime—the software needed to run them—are installed and compatible.