Kandinsky 5

TRUSTED · 86
Community indexed

Kandinsky 5.0: A family of diffusion models for Video & Image generation

Downloads 0
Stars 776
Version 1.0.0
Quality 86/100 · Excellent
Trust 86/100 · Production candidate
Audit 89/100 · Safe to try

Supply asset profile

Design and creative production

Design assets, images, video, audio, multimodal media, presentation, and creative production skills.

Browse track

Scenario

Design and creative

I need my agent to produce design assets, UI directions, presentations, or creative media workflows.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add kandinskylab/kandinsky-5

Maintenance

fresh

25d since push

Risk

Safe to try

Quality score needs review

GitHub quality

776

86/100 quality · 86/100 trust

Coverage tags

DesignDesign and creativemedia-automationvideo-generationcreative

Review notes

Quality score needs review

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
86

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Production candidate
86

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.

Audit

Safe to try
89

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v3

Agent install candidate

Shortlist for production use, then run a normal repository and dependency review.

PythonVideo GenerationCodexClaude CodeCursor

Stars

776 GitHub stars

Repo activity

776 stars, 60 forks

Maintenance

25d since push

License

MIT

Install

npx skills add kandinskylab/kandinsky-5

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Docs

Usable metadata, review docs

Risk summary

Low metadata risk

  • Quality score needs review

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • 25d since push

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Design and creative workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Inspect visual requirements
  • Generate reusable assets

Suited agents

PythonVideo GenerationCodexClaude CodeCursorOpenAgentSkill CLICLI

Trust and risk

Trust score
86/100
Risk level
Safe to try
Auto install
review

Install command

npx skills add kandinskylab/kandinsky-5

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • Quality score needs review

Agent safety v2

73/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Quality score needs review

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add kandinskylab/kandinsky-5

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Kandinsky 5 in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Kandinsky%205%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kandinskylab-kandinsky-5/install
Install command: npx skills add kandinskylab/kandinsky-5
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use Kandinsky 5 for this task. Review https://www.openagentskill.com/api/skills/kandinskylab-kandinsky-5/install, then install with: npx skills add kandinskylab/kandinsky-5

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

97/100

Design and creative

Platforms

Python, Video Generation, Claude Code

Audit report

Safe to try · 89/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit report

Agent decision cockpit

Primary pick for Design and creative

Use this as a leading candidate, then validate the README and install path in your own agent stack.

97
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Design and creative

Trust label

Production-ready

Install path

Command ready

Use when

  • Design and creative workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 776 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 86/100 quality profile
  • 1 OpenAgentSkill engagement events

Review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Design and creative task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Production candidate

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.

86
Trust score

GitHub adoption

INFO

776 GitHub stars

Stars/forks activity

INFO

776 stars, 60 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

25d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Meaningful GitHub adoption signal
  • Install command has no obvious high-risk pattern

Review before install

  • Quality score needs review

Recommended action

Shortlist for production use, then run a normal repository and dependency review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

86
GitHub stars
776
Freshness
25d ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Overview

Kandinsky 5.0: A family of diffusion models for Video & Image generation

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
video-generationFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
6/16/2026
Published
6/16/2026

Frameworks & Tools

PythonVideo Generation

Decision snapshot

Primary pick

97
Ready
Adopt
Stage

776 GitHub stars

Audit Snapshot

Install and adoption review

89
Safe to try
Security
88/100
Maintenance
100/100
Install
92/100
Open full audit

Growth loop

Share this skill

X

Scenario-led draft for Kandinsky 5, with the OpenAgentSkill Update theme and canonical URL.

OpenAgentSkill Update
Today: Kandinsky 5

Use it when you want an agent to help with creative production instead of only text chat.

776 stars - media-automation
Link: https://www.openagentskill.com/skills/kandinskylab-kandinsky-5?ref=x
#AIAgents #OpenAgentSkill
Open X draft
Optional reply with install command
Link for Kandinsky 5:
https://www.openagentskill.com/skills/kandinskylab-kandinsky-5?ref=x

Install: npx skills add kandinskylab/kandinsky-5

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to kandinskylab but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/kandinskylab-kandinsky-5)](https://www.openagentskill.com/skills/kandinskylab-kandinsky-5)

Author

K

kandinskylab

@kandinskylab

Platform Fit

Health Signals

GitHub stars
776
Quality score
54/100
Last GitHub push
May 22, 2026
Framework hints
2
OpenAgentSkill views
1
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Production candidate

86
  • GitHub adoption776 GitHub starsINFO
  • Stars/forks activity776 stars, 60 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance25d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS