OpenSIN-AI Platform — Plugin Ecosystem & GitHub Automation

OpenSIN-AI Platform ist das Plugin- und Automatisierungs-Ökosystem der OpenSIN-AI Organisation. 14 Plugins, GitHub Workflows und DevContainer-Setup.

Repository: OpenSIN-AI/opensin-ai-platform

Umfang: 182 Dateien | 87.247 Zeilen | 14 Plugins

OpenSIN-AI Agent Roadmap

• Feature spec: OpenSIN-overview/docs/opensin-ai-agent-feature-spec.md
• Comparison guide: OpenSIN-AI Agent Features
• This repo documents the automation and plugin surfaces that support the OpenSIN-AI Agent stack.

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Plugin Ecosystem

Plugin	Beschreibung	Dateien
opensin-feature-dev	7-Phase Feature Development Workflow	6
opensin-model-migration	Modell-Migration (Sonnet → Opus)	5
opensin-agent-sdk-dev	Agent SDK Development Toolkit	5
opensin-code-review	Multi-Agent Code Review	3
opensin-commit-commands	Git Workflow Commands	5
opensin-explanatory-mode	Erklär-Modus via Hooks	4
opensin-frontend-design	Production-Grade Frontend Generation	3
opensin-hookify	Hook Creation from Conversations	20
opensin-learning-mode	Interactive Learning Mode	3
opensin-plugin-dev	Plugin Development Toolkit	30+
opensin-pr-review	PR Review Toolkit	9
opensin-loop	Self-Referential Development Loops	7
opensin-security	Security Guidance Hooks	3

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Feature Dev

7-Phase guided workflow für Feature-Entwicklung:

1. Discovery — Requirements gathering
2. Exploration — Codebase analysis
3. Questions — Clarification phase
4. Architecture — Design blueprint
5. Implementation — Code generation
6. Review — Quality assurance
7. Summary — Documentation

Agents

• Code Reviewer — Reviews code with confidence scoring (threshold 80)
• Code Explorer — Traces execution paths, maps architecture
• Code Architect — Designs implementation blueprints

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Hookify

Hook-Erstellung aus Conversations:

/hookify — Create hooks from conversation analysis
/hookify:list — List all configured rules
/hookify:configure — Interactive enable/disable
/hookify:help — Usage guide

Hook Types

• PreToolUse — Validate before tool execution
• PostToolUse — Audit after tool execution
• Stop — Control session termination
• UserPromptSubmit — Filter user prompts

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Plugin Dev Toolkit

Umfassende Toolkit für Plugin-Entwicklung:

/plugin-dev:create-plugin — 8-Phase guided plugin creation

Skills

• Plugin Structure — Directory layout, manifest, auto-discovery
• Command Development — Slash commands with YAML frontmatter
• Hook Development — Prompt-based and command hooks
• Skill Development — Skills with progressive disclosure
• Agent Development — Agent creation with frontmatter
• MCP Integration — Server configuration (stdio, SSE, HTTP, WebSocket)

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GitHub Automation

Workflow	Zweck
opensin.yml	Haupt CI/CD Pipeline
opensin-issue-triage.yml	Auto-Triage neuer Issues
opensin-dedupe-issues.yml	Duplicate-Erkennung
sweep.yml	Täglicher Stale-Issue Cleanup
auto-close-duplicates.yml	Auto-Close von Duplicates
issue-lifecycle-comment.yml	Lifecycle Labels & Comments
lock-closed-issues.yml	Lock alter Issues
log-issue-events.yml	Analytics
non-write-users-check.yml	Security Check
remove-autoclose-label.yml	Label Management
backfill-duplicate-comments.yml	Backfill alter Issues
issue-opened-dispatch.yml	Dispatch zu externem Repo

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DevContainer

Sandboxed development environment:

• Base: Node.js 20
• Firewall: iptables — blocks all outbound except approved endpoints
• Tools: git, gh, delta, zsh, vim, nano, fzf
• VS Code Extensions: ESLint, Prettier, Remote Containers, GitLens

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Schnellstart

# Repository klonen
git clone https://github.com/OpenSIN-AI/opensin-ai-platform.git
cd opensin-ai-platform

# DevContainer starten
# In VS Code: F1 > Dev Containers: Reopen in Container

# Oder manuell
docker build -t opensin-ai-platform .devcontainer/
docker run -it opensin-ai-platform

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Zuletzt aktualisiert: 2026-04-07 | OpenSIN-AI