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-wavgit 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-wav)<a href="https://agentmods.dev/skills/godot-fun/godot-framework/video-to-wav"><img src="https://agentmods.dev/badge/skills/godot-fun/godot-framework/video-to-wav/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-wav"><img src="https://agentmods.dev/badge/skills/godot-fun/godot-framework/video-to-wav.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 | $0.00058 | $0.00783 |
| Opus 5 | $0.00029 | $0.00392 |
| Sonnet 5 | $0.00012 | $0.00157 |
| Haiku 4.5 | $0.00006 | $0.00078 |
Grade A, and why
video-to-wav 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video to WAV
Extract the first audio track from a supported video file to PCM WAV via FFmpeg. Defaults preserve source quality �?no resampling, bit depth matched from the embedded audio (32-bit float for lossy codecs), channels preserved, video stream discarded (-vn).
Rules
When this skill applies, read and follow skill-dependency-manager �?run scripts as documented, install missing tools into .dependency/.
Quick Start
Default output: <video-dir>/video-to-wav/<basename>.wav
.dependency/python/python .ai/video-to-wav/convert.py --video path/to/video.mp4
Example: assets/clip.mp4 �?assets/video-to-wav/clip.wav (same rate/depth as embedded audio)
Format Defaults
| Setting | Default | Notes |
|---|---|---|
| Audio track | First (a:0) |
Use --track N for alternate tracks (0-based) |
| Sample rate | Preserve source | Always kept; use audio-sample-rate-standardize to resample |
| Bit depth | Match source | Probed per file; lossy �?32-bit float PCM |
| Channels | Preserve source | Always kept from embedded audio |
| Lossless PCM in container | Stream copy | Bit-perfect when no overrides |
Common Flags
--video · -o / --output · --track · -b / --bit-depth
Alternate audio track:
.dependency/python/python .ai/video-to-wav/convert.py --video clip.mkv --track 1
Custom output path:
.dependency/python/python .ai/video-to-wav/convert.py --video clip.mp4 --output path/to/out.wav
Never overwrite source files. The script writes only under video-to-wav/ (or --output). Input must be a single video file (--video), not a directory. Supported inputs: .mp4, .mkv, .mov, .avi, .webm, .wmv, .flv, .m4v, .mpeg, .mpg, .ts, .mts, .m2ts, .3gp.
Agent Notes
- Use the bundled script, not hand-written
ffmpeg -i …commands. - Sample rate is always preserved �?chain
audio-sample-rate-standardizeif resampling is needed. - Do not reduce bit depth unless the user explicitly asks �?omit
-b. - No audio track �?script reports failure; confirm the file has an audio stream.
- Missing Python/FFmpeg �?populate
.dependency/per skill-dependency-manager, retry same command. - Do not copy, move, or replace the source with extracted output �?tell the user where output files are; they swap assets manually when ready.
- This skill is for video containers only; standalone audio files are out of scope.
- FFmpeg codec and probing details: reference.md
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 · 72 lines · 58 tokens per session scan A 3b05aa6eaa67
video-to-wav is a skill published in the GitHub repository godot-fun/godot-framework (116 stars, last pushed 11d ago), licensed MIT. It adds 58 tokens to every session and 783 once invoked, about $0.0003 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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