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 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/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/ibigqiang/feedgrab/video"><img src="https://agentmods.dev/badge/skills/ibigqiang/feedgrab/video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 46 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- high Supply Chain · line 71 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high Supply Chain · line 95 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high YARA Match · line 109 YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
- medium Data Exfiltration · line 90 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 95 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 147 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 5.5 | $0.00024 | $0.00819 |
| Sonnet 5.5 | $0.00012 | $0.00409 |
| Haiku 4.5 | $0.00006 | $0.00205 |
Grade A, and why
video scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
AUDIO_URL=$(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.
- 1mo ago First seen · 193 lines · 61 tokens per session scan A 89c399eb7e6b
video is a skill published in the GitHub repository iBigQiang/feedgrab (619 stars, last pushed yesterday), licensed MIT. It adds 61 tokens to every session and 2,047 once invoked, about $0.0002 per session on Opus 5.5. 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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