Compozy is a system for coordinating AI coding agents, allowing command-line agents to divide work, exchange tasks, run scheduled or repeated jobs, and share project memory under browser supervision. Developers and technical operators use it to create, automate, and monitor ongoing agent work. The catalogue entries provide skills and other add-ons for its agent workflows.
Borrowing it
Nothing to install: this file belongs to compozy/compozy. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/compozy/compozy/main/.agents/skills/assistant-ui/assistant-ui/SKILL.mdgit clone --depth 1 https://github.com/compozy/compozyWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/compozy/compozy/assistant-ui)<a href="https://agentmods.dev/skills/compozy/compozy/assistant-ui"><img src="https://agentmods.dev/badge/skills/compozy/compozy/assistant-ui/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/compozy/compozy/assistant-ui"><img src="https://agentmods.dev/badge/skills/compozy/compozy/assistant-ui.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00028 | $0.00894 |
| Opus 5.5 | $0.00011 | $0.00358 |
| Sonnet 5.5 | $0.00006 | $0.00179 |
| Haiku 4.5 | $0.00003 | $0.00089 |
Grade A, and why
assistant-ui scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
assistant-ui
Always consult assistant-ui.com/llms.txt for latest API.
React library for building AI chat interfaces with composable primitives.
References
- ./references/architecture.md -- Core architecture and layered system
- ./references/packages.md -- Package overview and selection guide
When to Use
| Use Case | Best For |
|---|---|
| Chat UI from scratch | Full control over UX |
| Existing AI backend | Connects to any streaming backend |
| Custom message types | Tools, images, files, custom parts |
| Multi-thread apps | Built-in thread list management |
| Production apps | Cloud persistence, auth, analytics |
Architecture
┌─────────────────────────────────────────────────────────┐
│ UI Components (Primitives) │
│ ThreadPrimitive, MessagePrimitive, ComposerPrimitive │
└─────────────────────────┬───────────────────────────────┘
│
┌─────────────────────────▼───────────────────────────────┐
│ Context Hooks │
│ useAui, useAuiState, useAuiEvent │
└─────────────────────────┬───────────────────────────────┘
│
┌─────────────────────────▼───────────────────────────────┐
│ Runtime Layer │
│ AssistantRuntime → ThreadRuntime → MessageRuntime │
└─────────────────────────┬───────────────────────────────┘
│
┌─────────────────────────▼───────────────────────────────┐
│ Adapters/Backend │
│ AI SDK · LangGraph · Custom · Cloud Persistence │
└─────────────────────────────────────────────────────────┘
Pick a Runtime
Using AI SDK?
├─ Yes → useChatRuntime (recommended)
└─ No
├─ External state (Redux/Zustand)? → useExternalStoreRuntime
├─ LangGraph agent? → useLangGraphRuntime
├─ AG-UI protocol? → useAgUiRuntime
├─ A2A protocol? → useA2ARuntime
└─ Custom API → useLocalRuntime
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 119 lines · 28 tokens per session scan A b5e218b3877f
assistant-ui is a skill published in the GitHub repository compozy/compozy (2,806 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 894 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
langchain
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG…
thinking-orbs
Add accessible animated AI loading and agent-status indicators with the React thinking-orbs library. Use when a chat, copilot, voice, search, generation, or tool-running interface needs a semantic working, searching, solving, listening, composing, or shaping state; when replacing a generic spinner with an AI activity…
update-provider-models
Add new or remove obsolete model IDs for existing AI SDK providers. Use when adding a model to a provider, removing an obsolete model, or processing a list of model changes from an issue. Triggers on "add model", "remove model", "new model ID", "obsolete model", "update model IDs".
menu-visibility
Track which react-horizontal-scrolling-menu items are on screen: useIsVisible(itemId | 'first' | 'last', defaultValue), useLeftArrowVisible/useRightArrowVisible, the options prop (ratio, rootMargin, threshold), items.getVisible()/subscribe/unsubscribe, and the async IntersectionObserver truth model (items must be seen…
ai-sdk
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI…
feature-usage-feed
Set up an LLM-judge evaluation that extracts canonical use cases for a PostHog feature at scale and streams the results to a Slack channel as a live feed. Use when someone wants to understand how users are actually using a specific AI/LLM-powered feature in production — what they're investigating, what questions…