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 xuiltul/animaworks --skill transcribe-toolgit clone --depth 1 https://github.com/xuiltul/animaworksWrote 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/xuiltul/animaworks/transcribe-tool)<a href="https://agentmods.dev/skills/xuiltul/animaworks/transcribe-tool"><img src="https://agentmods.dev/badge/skills/xuiltul/animaworks/transcribe-tool/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/xuiltul/animaworks/transcribe-tool"><img src="https://agentmods.dev/badge/skills/xuiltul/animaworks/transcribe-tool.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 | $0.00049 | $0.00312 |
| Opus 5.5 | $0.00020 | $0.00125 |
| Sonnet 5.5 | $0.00010 | $0.00062 |
| Haiku 4.5 | $0.00005 | $0.00031 |
Grade A, and why
transcribe-tool 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 28d 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
Transcribe Tool
Audio transcription tool using Whisper (faster-whisper).
Invocation
Bash: Run with animaworks-tool transcribe transcribe <音声ファイル> [オプション]
audio — Audio Transcription
animaworks-tool transcribe transcribe audio_file.wav [-l ja] [-m large-v3-turbo]
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| audio_path | string | (required) | Path to the audio file |
| language | string | null | Language code (e.g., ja, en). Auto-detected if null |
| model | string | "large-v3-turbo" | Whisper model name |
| raw | boolean | false | If true, skips LLM post-processing |
CLI Usage
animaworks-tool transcribe transcribe audio_file.wav [-l ja] [-m large-v3-turbo]
Notes
- faster-whisper must be installed
- When using GPU, CUDA-compatible ctranslate2 is required
- The model is automatically downloaded on first run
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.
- 28d ago Changed · +1 lines · +10 tokens per session 8ee442a95c4c
- 1mo ago First seen · 42 lines · 39 tokens per session scan A bfe53aa00940
transcribe-tool is a skill published in the GitHub repository xuiltul/animaworks (268 stars, last pushed yesterday), licensed Apache-2.0. It adds 49 tokens to every session and 312 once invoked, about $0.0002 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.
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