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 agentmods add skills/ibigqiang/feedgrab/videonpx skills add iBigQiang/feedgrab --skill videogit clone --depth 1 https://github.com/iBigQiang/feedgrabWrote 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/ibigqiang/feedgrab/video)<a href="https://agentmods.dev/skills/ibigqiang/feedgrab/video"><img src="https://agentmods.dev/badge/skills/ibigqiang/feedgrab/video.svg" alt="Measured on agentmods" 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 | $0.00061 | $0.02047 |
| Opus 5 | $0.00030 | $0.01024 |
| Sonnet 5 | $0.00012 | $0.00409 |
| Haiku 4.5 | $0.00006 | $0.00205 |
Grade A, and why
video scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
AUDIO_URL=$(curl -sL -H "User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36" \ How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video & Podcast Digest Skill
Send a video/podcast link → get full transcript + structured summary
Supported Platforms
| Platform | Type | Subtitles | Whisper Transcription |
|---|---|---|---|
| YouTube | Video | ✅ | ✅ |
| Bilibili | Video | ✅ | ✅ |
| X/Twitter | Video | ❌ | ✅ |
| Xiaoyuzhou (小宇宙) | Podcast | ❌ | ✅ |
| Apple Podcasts | Podcast | ❌ | ✅ |
| Direct links (mp3/mp4/m3u8) | Any | ❌ | ✅ |
Trigger
Auto-triggered when a media URL is detected:
- YouTube:
youtube.com,youtu.be - Bilibili:
bilibili.com,b23.tv - X/Twitter:
x.com,twitter.com(tweets with video) - Xiaoyuzhou:
xiaoyuzhoufm.com - Apple Podcasts:
podcasts.apple.com - Direct:
.mp3,.mp4,.m3u8,.m4a,.webm
Pipeline
Step 0: Detect Media Type
| URL Pattern | Type | Pipeline |
|---|---|---|
xiaoyuzhoufm.com/episode/ |
Podcast | → Step 1b (Xiaoyuzhou) |
podcasts.apple.com |
Podcast | → Step 1c (Apple) |
bilibili.com, b23.tv |
Video | → Step 1d (Bilibili API) |
.mp3, .m4a direct link |
Audio | → Step 2b (direct download) |
| Other | Video | → Step 1a (subtitle extraction) |
Step 1a: Video — Extract Subtitles
rm -f /tmp/media_sub*.vtt /tmp/media_audio.mp3 /tmp/media_transcript*.json /tmp/media_segment_*.mp3 2>/dev/null || true
# YouTube (prefer English, fallback Chinese)
yt-dlp --skip-download --write-auto-sub --sub-lang "en,zh-Hans" -o "/tmp/media_sub" "VIDEO_URL"
# Bilibili
yt-dlp --skip-download --write-auto-sub --sub-lang "zh-Hans,zh" -o "/tmp/media_sub" "VIDEO_URL"
Check for subtitles:
ls /tmp/media_sub*.vtt 2>/dev/null
- Has subtitles → Read VTT content, skip to Step 3
- No subtitles → Step 2a (download audio)
Step 1b: Xiaoyuzhou (小宇宙) — Extract Audio URL
AUDIO_URL=$(curl -sL -H "User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36" \
"EPISODE_URL" \
| grep -oE 'https://media\.xyzcdn\.net/[^"]+\.(m4a|mp3)' \
| head -1)
echo "Audio URL: $AUDIO_URL"
curl -L -o /tmp/media_audio.mp3 "$AUDIO_URL"
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.
- 6d ago First seen · 193 lines · 61 tokens per session scan A 89c399eb7e6b
video is a skill published in the GitHub repository iBigQiang/feedgrab (606 stars, last pushed 5d ago), licensed MIT. It adds 61 tokens to every session and 2,047 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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