dream-to-video-skill — security grade SAFE, quality 71/100

Security audit verdict: SAFE · quality 71/100

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 mediastormDev · Agent Tool · ★ 361

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is dream-to-video-skill safe to install? View the security audit →

About dream-to-video-skill

Dream-to-Video Skill 中文文档 AI agent skill that transforms dream text into cinematic videos. Describe your dream, and the agent automatically generates professional video prompts, submits them to the Jimeng platform via browser automation, downloads the finished videos, and applies post-processing effects. How It Works Prompt transformation — The AI agent converts your dream description into a detailed cinematic video prompt following 10 strict rules (photorealistic style, fisheye lens, no text overlays, silent narrative, etc.) Queue submission — The prompt is added to a local task queue (SQLite + JSONL) Browser automation — A background worker drives Chromium via Playwright to interact with the Jimeng video generation platform: login, submit prompts, upload reference images when needed, monitor progress Download & post-processing — Completed videos are downloaded and automatically processed with an "Elliptic Shatter" edge effect (center-clear, shattered-glass edges), outputting both the original and the effect version Install Via skills CLI Manual install Clone the repo and symlink the skill directory into your agent's skill folder: bash git clone

Quick Facts

Stars361
Forks43
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score71.0884786655663/100
Open Issues3
Last Updated2026-03-23
Created2026-03-23
Platformsbrowser, python
Est. Tokens~14k

Compatible Skills

These tools work well together with dream-to-video-skill for enhanced workflows:

  • naive-video-skill — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)
  • Video-Wrapper-Skills — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)
  • tait-crt-interface-skill — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • MotionClone — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • clipify — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)

dream-to-video-skill alternative? Top 6 similar tools

Looking for a dream-to-video-skill alternative? If you're comparing dream-to-video-skill with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is dream-to-video-skill?

dream-to-video-skill is AI agent skill that transforms dream descriptions into cinematic videos — auto-generates prompts, submits to Jimeng via browser automation, and downloads finished videos with post-processing effects.. It is categorized as a Agent Tool with 361 GitHub stars.

What programming language is dream-to-video-skill written in?

dream-to-video-skill is primarily written in Python.

How do I install or use dream-to-video-skill?

You can find installation instructions and usage details in the dream-to-video-skill GitHub repository at github.com/mediastormDev/dream-to-video-skill. The project has 361 stars and 43 forks, indicating an active community.

What license does dream-to-video-skill use?

dream-to-video-skill is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to dream-to-video-skill?

The top alternatives to dream-to-video-skill on Agent Skills Hub include awesome-android-agent-skills, synalinks-skills, agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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