Iris — security grade SAFE, quality 62/100

Security audit verdict: SAFE · quality 62/100

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 avabbbb · Codex Skill · ★ 139

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

🔒 Is Iris safe to install? View the security audit →

About Iris

Iris AI creative agents, inside the tools you already use. Open-source, local-first creative layer for professional editors — starting with DaVinci Resolve Studio 21.1. Keep your edit in the host, let your Agent understand the context, and let Iris handle generation, references and durable candidates. Formerly Flovart. Iris is the public product and repository name. The legacy flovart CLI, Skill/package paths and internal compatibility identifiers remain temporarily so existing Agent workflows do not break. English · 简体中文 Try live demo · Download preview · Get started · Compatibility <img src="https://img.shields.io/badge/License-MIT-E8453C" alt="M

agentic-aiai-agentai-imageai-videoaigcbyokclaude-codecodexcreative-toolsgenerative-ai

Quick Facts

Stars139
Forks34
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score61.6147078847321/100
Open Issues4
Last Updated2026-10-04
Created2025-10-21
Platformsclaude-code, codex, node
Est. Tokens~19k

Compatible Skills

These tools work well together with Iris for enhanced workflows:

  • ima2-gen — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (72%)
  • ima2-gen — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (72%)
  • tongflow — semantic(0.32)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • Nomi — semantic(0.27)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)
  • BeatDesign — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (64%)

Iris alternative? Top 6 similar tools

Looking for a Iris alternative? If you're comparing Iris 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.

  • Overture by SixHq · ⭐ 641

    Overture is an open-source, locally running web interface delivered as an MCP (Model Context Protocol) server

  • Nomi by aqm857886159 · ⭐ 548

    Open-source AI video workbench. Bring any model or your local ComfyUI, and let Claude Code / Codex / Cursor di

  • ai-media-generator by Hao0321 · ⭐ 180

    Zero-skill cinema. Senior-director prompts on autopilot. A Claude Code Skill for high-quality AI image / video

  • cleancode by chen-985211 · ⭐ 63

    Bring Claude Code, Codex, and your favorite CLI agents into one visual workspace. Run agents in parallel and b

  • sdk by vargHQ · ⭐ 340

    AI video generation SDK — JSX for videos. One API for Kling, Flux, ElevenLabs, Veed. Built on Vercel AI SDK.

  • maestro by ReinaMacCredy · ⭐ 232

    Local-first coordination for human and agent work: durable work, decisions, dispatches, evidence, and prompt-f

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Frequently Asked Questions

What is Iris?

Iris is Open-source agent-native visual production workspace where humans and coding agents edit the same live canvas — local-first, BYOK image/video models.. It is categorized as a Codex Skill with 139 GitHub stars.

What programming language is Iris written in?

Iris is primarily written in TypeScript. It covers topics such as agentic-ai, ai-agent, ai-image.

How do I install or use Iris?

You can find installation instructions and usage details in the Iris GitHub repository at github.com/avabbbb/Iris. The project has 139 stars and 34 forks, indicating an active community.

What license does Iris use?

Iris is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to Iris?

The top alternatives to Iris on Agent Skills Hub include Overture, Nomi, ai-media-generator. 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:

View on GitHub → Browse Codex Skill tools