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 flthibau/sample-OpenClaw-on-Azure-with-AI-Foundry --skill yt_fr_dubgit clone --depth 1 https://github.com/flthibau/sample-OpenClaw-on-Azure-with-AI-FoundryWrote 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/flthibau/sample-openclaw-on-azure-with-ai-foundry/yt_fr_dub)<a href="https://agentmods.dev/skills/flthibau/sample-openclaw-on-azure-with-ai-foundry/yt_fr_dub"><img src="https://agentmods.dev/badge/skills/flthibau/sample-openclaw-on-azure-with-ai-foundry/yt_fr_dub/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/flthibau/sample-openclaw-on-azure-with-ai-foundry/yt_fr_dub"><img src="https://agentmods.dev/badge/skills/flthibau/sample-openclaw-on-azure-with-ai-foundry/yt_fr_dub.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00020 | $0.00824 |
| Opus 5 | $0.00010 | $0.00412 |
| Sonnet 5 | $0.00004 | $0.00165 |
| Haiku 4.5 | $0.00002 | $0.00082 |
Grade B, and why
yt_fr_dub scanned grade B with 1 finding 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo apt-get update How it starts
The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
yt_fr_dub (YouTube → French dub MP4)
Takes a YouTube URL, downloads the video, transcribes the original audio, translates to French, synthesizes French speech, and remuxes the new audio into an MP4.
What it does
Pipeline:
- Download best video (no audio) + best audio using
yt-dlp(cookies + JS challenge support enabled by default). - Enforce max duration: refuses videos longer than 20 minutes (configurable).
- Transcribe audio via AI Foundry /openai (
gpt-4o-transcribe). - Translate transcript to French via AI Foundry /openai (
gpt-5.2). - Synthesize French audio via Azure Speech /speech (SSML, e.g.
fr-FR-DeniseNeural). - Remux into MP4.
- Upload to Azure Blob and return a SAS URL (default behavior).
Tools used
yt-dlpffmpeg- Node.js 22+
Setup
1) Install OS dependencies
On Ubuntu/Debian:
sudo apt-get update
sudo apt-get install -y ffmpeg python3-pip
python3 -m pip install -U yt-dlp
Verify:
ffmpeg -version
yt-dlp --version
2) Environment variables
The script is currently configured with defaults matching this VM’s APIM setup. If you need overrides:
AI Foundry (/openai):
APIM_OPENAI_ENDPOINTAPIM_OPENAI_API_KEYAPIM_OPENAI_API_VERSIONAPIM_OPENAI_DEPLOYMENT_TRANSCRIBE(default:gpt-4o-transcribe)APIM_OPENAI_DEPLOYMENT_TRANSLATE(default:gpt-5.2)
Azure Speech TTS (/speech):
SPEECH_TTS_ENDPOINT(default:${APIM_OPENAI_ENDPOINT}/speech/cognitiveservices/v1)SPEECH_TTS_OUTPUT_FORMAT(default:audio-16khz-128kbitrate-mono-mp3)SPEECH_TTS_VOICE(default:fr-FR-DeniseNeural)SPEECH_TTS_LANG(default:fr-FR)
YouTube download:
- Default cookies path:
~/.openclaw/secrets/youtube_cookies.txt(can be overridden with--cookies)
3) OpenClaw exec allowlist
This skill runs external commands. Add these to your OpenClaw exec allowlist (exact mechanism depends on your OpenClaw config):
yt-dlpffmpegffprobe
What ships with it
7 files 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 · 99 lines · 20 tokens per session scan B a628be32e86f
yt_fr_dub is a skill published in the GitHub repository flthibau/sample-OpenClaw-on-Azure-with-AI-Foundry (5 stars, last pushed 6mo ago), licensed MIT. It adds 20 tokens to every session and 824 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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