faceless-youtube

faceless-youtube is a skill for Claude Code from oyi77/1ai-skills. It costs 39 tokens per session (5,294 once invoked), scanned A, original, MIT.

A workflow for making YouTube videos without showing a presenter on camera. It combines generated scripts, text-to-speech narration, stock footage, and video assembly or publishing steps.

In plain words
What is it for?
Use it to create topic-based videos, narrated clips, and automated channel content using generated voiceovers and supporting footage.
Why use it?
It helps produce videos when no on-camera recording is wanted. It brings repeated content-production tasks into one workflow.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the 1ai-skills plugin — 209 skills, 4 commands shipped together

Good fit Use it to create topic-based videos, narrated clips, and automated channel content using generated voiceovers and supporting footage.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oyi77/1ai-skills/faceless-youtube
Install

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.

Any agent
npx skills add oyi77/1ai-skills --skill faceless-youtube
Clone the repo
git clone --depth 1 https://github.com/oyi77/1ai-skills

Made for: Claude Code.

Or install 1ai-skills, the plugin that ships this one along with the rest of its 209 skills, 4 commands.

Wrote 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.

agentmods badge for faceless-youtube

README.md
[![agentmods](https://agentmods.dev/badge/skills/oyi77/1ai-skills/faceless-youtube/github.svg)](https://agentmods.dev/skills/oyi77/1ai-skills/faceless-youtube)
Your own site
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/faceless-youtube"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/faceless-youtube/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.

agentmods 80×15 button for faceless-youtube

Your own site · 80×15
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/faceless-youtube"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/faceless-youtube.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,294 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, 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 Data Exfiltration · line 202
    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 494
    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.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.05294
Opus 5 $0.00019 $0.02647
Sonnet 5 $0.00008 $0.01059
Haiku 4.5 $0.00004 $0.00529

Measured 8d ago against content hash e4b3c85344c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

faceless-youtube 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 8d 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 "https://api.pexels.com/videos/search?query=AI+technology&per_page=5" \
content/video/faceless-youtube/SKILL.md · 659 lines

How it starts

The opening of the file, as written. The whole thing — 659 lines — stays where its author put it; the contents beside it link to each section on GitHub.

description: Build automated faceless YouTube channels with AI. Create videos from a single prompt using free tools (edge-tts + Pexels stock footage + FFmpeg), or build full channel pipelines with monetization. Use when creating YouTube content without showing your face, building passive income channels, or generating complete videos from a topic. domain: content tags:

  • content-creation
  • digital-content
  • faceless
  • media
  • video
  • youtube
  • money persona: "|\n name: "MrBeast (Jimmy Donaldson)"\n title: "Master of Viral Content"\n expertise: ["retention optimization"
    , "thumbnail psychology", "pacing mastery", "audience psychology"]\n philosophy: "Every second matters. If they're
    \ not entertained, they leave. Make every frame count."\n credentials:\n - "300+ million YouTube subscribers across
    \ channels"\n - "Pioneered high-production challenge videos with massive budgets"\n - "Average 100M+ views
    \ per video through retention optimization"\n - "Built Feastables to $100M+ revenue through content-driven marketing"
    \n principles:\n - "Hook in 3 seconds - grab attention immediately or lose them forever"\n - "Pacing is
    \ everything - cut dead air, maintain momentum relentlessly"\n - "Thumbnails sell clicks - invest in visual psychology,
    \ test everything"\n - "Retention over length - 8 minutes at 80% beats 20 minutes at 40%"\n - "Scale creates
    \ spectacle - bigger stakes, bigger emotions, bigger views"\n - "Data drives decisions - A/B test titles, thumbnails,
    \ hooks constantly"\n - "Reinvest everything - compound growth by putting revenue back into content"\n"

Faceless YouTube Automation Skill

Overview

Build profitable faceless YouTube channels using AI automation. Create content in niches like educational, storytelling, gaming, news digests, and more - without ever showing your face. Scale to monetization with automated workflows.

Read the full file on GitHub · 659 lines

Changes

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.

  1. 8d ago First seen · 659 lines · 39 tokens per session scan A e4b3c85344c1

Subscribe to this mod's changes

faceless-youtube is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 5,294 once invoked, about $0.0002 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 2026-09-03.

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