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 mrocker/social-data-mcp --skill youtube-video-channelgit clone --depth 1 https://github.com/mrocker/social-data-mcpWrote 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/mrocker/social-data-mcp/youtube-video-channel)<a href="https://agentmods.dev/skills/mrocker/social-data-mcp/youtube-video-channel"><img src="https://agentmods.dev/badge/skills/mrocker/social-data-mcp/youtube-video-channel/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/mrocker/social-data-mcp/youtube-video-channel"><img src="https://agentmods.dev/badge/skills/mrocker/social-data-mcp/youtube-video-channel.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 | $0.00075 | $0.00734 |
| Opus 5.5 | $0.00030 | $0.00294 |
| Sonnet 5.5 | $0.00015 | $0.00147 |
| Haiku 4.5 | $0.00007 | $0.00073 |
Grade A, and why
youtube-video-channel scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 22d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST "https://api.apify.com/v2/acts/nick.cheng~youtube-video-channel-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \ How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube videos & channels
Pay-per-result Apify Actor nick.cheng/youtube-video-channel-scraper. No API key, no OAuth, no
quota. Charges only for rows that came back ($0.015/video, $0.005/channel — same on every plan).
Needs APIFY_TOKEN (free account: https://console.apify.com/account/integrations).
When to use
- "Stats for these video links" →
videoUrls - "Latest videos from these channels" →
channelUrls+maxVideosPerChannel - "Subscriber count only" →
channelUrls+maxVideosPerChannel: 0 - "Stats and what is said in the video" → add
includeSubtitles: true(no extra charge). Transcripts only, no stats: usenick.cheng/youtube-transcript-scraper($0.005 per transcript; see theyoutube-transcriptsskill) - "Only videos over N views / longer than M seconds / with a word in the title" →
minViews,minDurationSeconds,maxDurationSeconds,publishedAfter,titleContains(screened before the page is fetched; filtered videos are not charged)
Call it
curl -s -X POST "https://api.apify.com/v2/acts/nick.cheng~youtube-video-channel-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
-H 'Content-Type: application/json' \
-d '{"channelUrls":["@NASA"],"maxVideosPerChannel":5,"minViews":100000}'
Or as an MCP tool: https://mcp.apify.com/?tools=nick.cheng/youtube-video-channel-scraper.
Output rows
itemType: "video"—videoId,url,title,description,durationSeconds,viewCount,likesLabel(YouTube's rounded label; exact likes are not exposed to logged-out clients),publishedAt,channelId,channelName,keywords,category,availableCaptions; withincludeSubtitlesalsotranscript,transcriptLanguage,transcriptType(manual/auto-generated),subtitles[].segments({start, end, text}),subtitlesNoteitemType: "channel"—channelId,channelName,handle,subscribersLabel,videoCountLabel,description,keywords, and contact details the owner published in the description:emails,phones,externalLinks,linkInBio,otherSocials(the CAPTCHA-gated "View email address" is not touched)error: true, chargedForThis: false— unavailable video/channel, reason given
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.
- 22d ago Changed · +5 lines · +14 tokens per session 8b85d86b1256
- 2mo ago First seen · 44 lines · 61 tokens per session scan A 474d73230c51
youtube-video-channel is a skill published in the GitHub repository mrocker/social-data-mcp (0 stars, last pushed 22d ago), licensed MIT. It adds 75 tokens to every session and 734 once invoked, about $0.0003 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 2026-08-31.
youtube-video-channel compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| youtube-video-channelmrocker/social-data-mcp | Skill | 0 | 22d ago | MIT | A | 75 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 2d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 6d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |