No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by NarratorAI-Studio · Codex Skill · ★ 2.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is narrator-ai-cli-skill safe to install? View the security audit →
🧠 Narrator AI CLI Skill — Teach Your AI Agent to Create Movie Narration Videos 中文文档 Install this Skill in your AI agent (OpenClaw, Windsurf, WorkBuddy, etc.), then just say "create a movie narration video" — the AI handles the rest. What is this? A machine-readable skill file () that teaches AI agents how to use the narrator-ai-cli tool for automated video narration production. How CLI and Skill work together In short: CLI is the hands. Skill is the brain. Together, the AI agent can produce videos end-to-end. Quick Start Step 1: Install the CLI tool See narrator-ai-cli for detailed installation options. Step 2: Configure API key 📧 N
| Stars | 2,667 |
| Forks | 355 |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71.4395131110547/100 |
| Open Issues | 6 |
| Last Updated | 2026-07-05 |
| Created | 2026-03-19 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~8k |
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narrator-ai-cli-skill is AI 解说大师 — Agent skill；封装 narrator-ai-cli 供 Claude/Codex 等工具调用. It is categorized as a Codex Skill with 2.7k GitHub stars.
You can find installation instructions and usage details in the narrator-ai-cli-skill GitHub repository at github.com/NarratorAI-Studio/narrator-ai-cli-skill. The project has 2.7k stars and 355 forks, indicating an active community.
narrator-ai-cli-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to narrator-ai-cli-skill on Agent Skills Hub include nano-banana-pro-prompts-recommend-skill, claude-blog, drama-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: