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 rediumvex/ai-video-generator-claude --skill 05-faceless-channelgit clone --depth 1 https://github.com/rediumvex/ai-video-generator-claudeWrote 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/rediumvex/ai-video-generator-claude/05-faceless-channel)<a href="https://agentmods.dev/skills/rediumvex/ai-video-generator-claude/05-faceless-channel"><img src="https://agentmods.dev/badge/skills/rediumvex/ai-video-generator-claude/05-faceless-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/rediumvex/ai-video-generator-claude/05-faceless-channel"><img src="https://agentmods.dev/badge/skills/rediumvex/ai-video-generator-claude/05-faceless-channel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Excessive Agency · line 244 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
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 | $0.00092 | $0.04189 |
| Opus 5 | $0.00046 | $0.02094 |
| Sonnet 5 | $0.00018 | $0.00838 |
| Haiku 4.5 | $0.00009 | $0.00419 |
Grade A, and why
seedance-faceless-channel 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 13d 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 — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Faceless Channel — No-Camera Content Video Prompts
Input Specs — Seedance 2.0 Format
When generating a prompt, collect or infer:
| Field | Description | Example |
|---|---|---|
| Topic | Subject matter of the video | "The collapse of Silicon Valley Bank" |
| Platform | Target platform and aspect ratio | YouTube 16:9 / TikTok 9:16 / Reels 9:16 |
| Duration | Clip length in seconds | 5s / 8s / 10s |
| Mood | Emotional tone | cinematic / moody / energetic / calm |
| Style | Visual language | documentary / motion graphics / aesthetic / abstract |
| Sound priority | Narration-first or music-first | narration-first |
| Hook type | Opening pattern | visual metaphor / data reveal / satisfying loop / impossible scene |
Seedance 2.0 prompt structure:
[SCENE DESCRIPTION] — [CAMERA MOVEMENT] — [LIGHTING] — [MOOD/ATMOSPHERE] — [MOTION DETAILS] — [SOUND DIRECTION]
Each prompt block should be 15–25 lines covering: scene, camera, lighting, timing breakdown, motion notes, and sound direction.
Three Laws of Faceless Content
- Never let the screen rest. Every second needs motion — camera, subject, or both.
- The first frame is the thumbnail. The opening shot must be arresting on its own.
- Lighting is character. Without a face, emotion comes from color temperature, contrast, and shadow.
2-Second Hook Table
The first 2 seconds determine whether the viewer swipes. Use one of these four proven patterns:
| Pattern | Description | Visual Execution | Best For |
|---|---|---|---|
| The Visual Metaphor | Open on a powerful image that symbolizes the entire video's thesis | Extreme close-up of a burning dollar bill, then pull back to reveal a city skyline | Finance, business, history channels |
| The Data Reveal | Numbers or statistics materialize on screen in a visually dramatic way | Counter spinning rapidly then freezing on a shocking number, overlaid on relevant environment | News, education, statistics-driven content |
| The Satisfying Loop | A seamless, hypnotic motion that locks the eye before the brain can decide to swipe | Fluid pouring, sand falling, clouds rolling — perfectly timed to feel infinite | Meditation, ASMR, aesthetic channels |
| The Impossible Scene | A physically impossible or hyperreal visual that creates instant curiosity | A city at the bottom of the ocean, a forest growing in fast-forward inside a skyscraper atrium | Sci-fi, speculative, "what if" channels |
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.
- 13d ago First seen · 324 lines · 92 tokens per session scan A f6c76b812fd7
seedance-faceless-channel is a skill published in the GitHub repository rediumvex/ai-video-generator-claude (361 stars, last pushed 1mo ago), licensed MIT. It adds 92 tokens to every session and 4,189 once invoked, about $0.0005 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 2026-08-30.
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