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 calesthio · Codex Skill · ★ 124
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is generative-media-skills safe to install? View the security audit →
Generative Media Skills Give your coding agent a media production department, not a folder of prompts. Generative Media Skills is an agent-native production system for creating, directing, validating, and delivering image, video, audio, voice, music, 3D, avatar, and interactive media. It combines researched operating knowledge with executable guardrails so agents can move from a creative brief to a usable deliverable with provider context, production craft, safety boundaries, and technical checks. 151 research-backed skills across 25 categories, with tested executable resources where deterministic checks are better than prose. Use it with Claude Code, Codex, GitHub Copilot, Cursor, OpenClaw/Hermes-style agents, or any runtime that can load Agent Skills. Connect it to OpenMontage when you want the same production intelligence inside an orchestrated media workflow. It is operating knowledge and executable production support that helps an agent make evidence-based media decisions and prepare shippable work. Start in One Prompt Point your agent at the repository and name the production surfaces it should load: text Use generative-media-skills.
| Stars | 124 |
| Forks | 21 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.0036409649875/100 |
| Last Updated | 2026-07-14 |
| Created | 2026-07-11 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
These tools work well together with generative-media-skills for enhanced workflows:
Looking for a generative-media-skills alternative? If you're comparing generative-media-skills with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plug
Frontier AI video generation for coding agents - Seedance, Runway, Veo, Kling on your own keys, behind a hard
Open-source AI pipeline that turns any topic into a publish-ready YouTube/Instagram/TikTok Short — research, s
AI video generation SDK — JSX for videos. One API for Kling, Flux, ElevenLabs, Veed. Built on Vercel AI SDK.
Postman MCP Server — connect AI agents (Claude Code, Cursor, VS Code Copilot, Gemini CLI) to your Postman coll
An introduction to the world of AI Agents
Explore other popular codex skill tools:
generative-media-skills is Research-backed agent skills and tools for premium image, video, audio, voice, and generative media production across AI coding assistants.. It is categorized as a Codex Skill with 124 GitHub stars.
generative-media-skills is primarily written in Python. It covers topics such as agent, agentic-ai, ai.
You can find installation instructions and usage details in the generative-media-skills GitHub repository at github.com/calesthio/generative-media-skills. The project has 124 stars and 21 forks, indicating an active community.
generative-media-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to generative-media-skills on Agent Skills Hub include agnix, vibeframe, OpenReels. 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: