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 tubecreate/tubecli --skill content_videogit clone --depth 1 https://github.com/tubecreate/tubecliWrote 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/tubecreate/tubecli/content_video)<a href="https://agentmods.dev/skills/tubecreate/tubecli/content_video"><img src="https://agentmods.dev/badge/skills/tubecreate/tubecli/content_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/tubecreate/tubecli/content_video"><img src="https://agentmods.dev/badge/skills/tubecreate/tubecli/content_video.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 | $0.00035 | $0.01048 |
| Opus 5 | $0.00017 | $0.00524 |
| Sonnet 5 | $0.00007 | $0.00210 |
| Haiku 4.5 | $0.00003 | $0.00105 |
Grade A, and why
Content Video 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🎬 Content Video
Makes a video from the agent's own collected material: the articles it scraped, the videos it watched (via transcripts), plus any extra links the user gives. It writes the script with this agent's model, then hands it to Content Studio for the storyboard, images, voice and the final mp4. The whole thing runs in the background as a Codex task with a live progress card.
Use it when the user says things like: "make a video from what you read today", "turn today's news into a video", "làm video từ những gì đã đọc/xem hôm nay", "tổng hợp hôm nay thành video", "make a video about these links".
📥 content_video_run — queue the video
{"action": "content_video_run"}
Optional fields (all flat):
{"action": "content_video_run",
"day": "today",
"sources": ["https://example.com/article", "https://youtube.com/watch?v=..."],
"aspect_ratio": "9:16",
"style": "news",
"title": "",
"tts_voice": "vi-VN-HoaiMyNeural",
"language": "vi",
"target_words": 1500}
day:today(default),yesterday, orall.sources: extra links to crawl and fold in. YouTube links become transcripts.aspect_ratio:16:9(default) or9:16for Reels/Shorts/TikTok.style:news,story,review,explainer… — a hint to the writer.publish:trueto upload to YouTube when the video is done (runs straight through, no review).publish_channel_name: the channel by name, e.g."Cinematic Bible"(resolved to the right Google account);publish_privacy:public(default) |unlisted|private.thumbnail:trueto design a thumbnail with Thumbnail Studio (AI title + Flux image on a template) and attach it when publishing;thumbnail_template: the template to force — its id or the NAME shown in Thumbnail Studio ("Noah flood"), looked up there. Leave it empty and the AI picks, preferring templates this channel drew itself. The user can name one in chat: "thumbnail mẫu noal", "thumbnail template big_number".- The user saying "đăng luôn lên kênh X, khỏi duyệt, có thumbnail" / "publish it to channel X without review with a thumbnail" is
publish+publish_channel_name+thumbnail. target_words: script length in words, ~150 words per minute read aloud (10 minutes → 1500, 20 minutes → 3000). Omit to follow the agent's Content Studio template. The user saying "video 10 phút" / "a 20 minute video" is this field.
What ships with it
8 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.
- 3d ago Changed · +3 lines fa352a0a149e
- 5d ago Changed · +2 lines 19865cb1f807
- 7d ago First seen · 60 lines · 35 tokens per session scan A 0218effa280d
Content Video is a skill published in the GitHub repository tubecreate/tubecli (167 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 1,048 once invoked, about $0.0002 per session on Opus 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 2026-09-05.
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My Skill
Content here.