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 audio-sample-rate-standardizegit 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/audio-sample-rate-standardize)<a href="https://agentmods.dev/skills/godot-fun/godot-framework/audio-sample-rate-standardize"><img src="https://agentmods.dev/badge/skills/godot-fun/godot-framework/audio-sample-rate-standardize.svg" alt="Measured on agentmods" 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 | $0.00084 | $0.00664 |
| Opus 5 | $0.00042 | $0.00332 |
| Sonnet 5 | $0.00017 | $0.00133 |
| Haiku 4.5 | $0.00008 | $0.00066 |
Grade A, and why
audio-sample-rate-standardize 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 8d 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audio Sample Rate Standardize
Export 16-bit PCM WAV at 44100 or 48000 Hz only. No loudness processing. Directories are not supported; run once per file to process a folder.
Rules
When this skill applies, read and follow skill-dependency-manager �?run scripts as documented, install missing tools into .dependency/.
Quick Start
Default output: <audio-dir>/audio-sample-rate-standardize/<name>.wav (source files are read-only):
.dependency/python/python .ai/audio-sample-rate-standardize/standardize.py --audio path/to/audio.mp3
Example: audio/sfx/tank/tank_move.mp3 �?audio/sfx/tank/audio-sample-rate-standardize/tank_move.wav
Sample Rate Rule
| Source rate | Output |
|---|---|
| �?44100 Hz | 44100 Hz |
| > 44100 Hz | 48000 Hz |
| Rate | Typical use |
|---|---|
| 44100 Hz | Music, games, CD |
| 48000 Hz | Games, film, video |
Common Flags
--audio · --output
.dependency/python/python .ai/audio-sample-rate-standardize/standardize.py --audio Audio/SFX/tank_move.mp3 --output Audio/SFX/out
Never overwrite source files. The script writes only to audio-sample-rate-standardize/ (or --output). All outputs are .wav regardless of input format. Supported inputs: .wav, .mp3, .ogg, .flac, .aac, .m4a, .wma.
Agent Notes
- Use the bundled script, not hand-written
-ar/-c:acommands. - No loudness normalization �?LUFS targeting is a separate step in the audio pipeline.
- Missing Python/FFmpeg �?populate
.dependency/per skill-dependency-manager, retry same command. - Do not copy, move, or replace the source with the output �?tell the user where
audio-sample-rate-standardize/files are; they swap assets manually when ready. - Do not use
--outputpointing at the source file; the script refuses paths that would overwrite the input. - FFmpeg details: reference.md
Tests
From repo root:
.dependency/python/python .ai/audio-sample-rate-standardize/test_standardize.py
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.
- 8d ago First seen · 64 lines · 84 tokens per session scan A 936d96919ade
audio-sample-rate-standardize is a skill published in the GitHub repository godot-fun/godot-framework (116 stars, last pushed 8d ago), licensed MIT. It adds 84 tokens to every session and 664 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 2026-08-30.
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