alpic-ai/skybridge is a full-stack TypeScript and React framework for building MCP apps, which are interactive user interfaces connected to MCP servers and usable in clients such as Claude and ChatGPT. It helps developers create type-safe apps with development tooling, client compatibility, React hooks, and agent-oriented APIs. The catalogue skills, instructions, setting, and hook support workflows for building MCP apps with Skybridge.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add alpic-ai/skybridge --skill chatgpt-app-buildergit clone --depth 1 https://github.com/alpic-ai/skybridgeWrote 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/alpic-ai/skybridge/chatgpt-app-builder)<a href="https://agentmods.dev/skills/alpic-ai/skybridge/chatgpt-app-builder"><img src="https://agentmods.dev/badge/skills/alpic-ai/skybridge/chatgpt-app-builder/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/alpic-ai/skybridge/chatgpt-app-builder"><img src="https://agentmods.dev/badge/skills/alpic-ai/skybridge/chatgpt-app-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00086 | $0.00976 |
| Opus 5.5 | $0.00034 | $0.00390 |
| Sonnet 5.5 | $0.00017 | $0.00195 |
| Haiku 4.5 | $0.00009 | $0.00098 |
Grade A, and why
chatgpt-app-builder 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 18d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- mcp-app-builder — 88% identical, 28 lines differ
- skybridge — 81% identical, 26 lines differ
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creating Plugins For LLMs
ChatGPT plugins are conversational experiences that extend ChatGPT through tools and custom UI views. They're built as MCP servers invoked during conversations.
⚠️ The plugin is consumed by two users at once: the human and the ChatGPT LLM. They collaborate through the view—the human interacts with it, the LLM sees its state. Internalize this before writing code: the view is your shared surface.
SPEC.md keeps track of the plugin's requirements and design decisions. Keep it up to date as you work on the plugin.
Building an ecommerce plugin? → Read ecommerce.md first.
No SPEC.md? → Read discover.md first. Nothing else until SPEC.md exists.
SPEC.md exists? → Read SPEC.md, then follow architecture.md to design the change. Update SPEC.md, then read the relevant Implementation references below before writing code.
Migrating from Skybridge < 0.36.x? → Read migrate-to-v1.md first. Users may reference skybridge >= 0.36.x as v1.
Migrating from Skybridge 1.x to 2.x? → Fetch the v2.0.0 release notes first and follow them.
Setup
- Copy template → copy-template.md: when starting a new project with ready SPEC.md
- Run locally → run-locally.md: when ready to test, need dev server or ChatGPT connection
- Evals → evals.md: when checking that a real model reaches the right tools from natural prompts, in a test
Architecture
Design or evolve UX flows and API shape → architecture.md
Implementation
- Fetch and render data → fetch-and-render-data.md: when implementing server handlers and view data fetching
- State and context → state-and-context.md: when persisting view UI state and updating LLM context
- Prompt LLM → prompt-llm.md: when view needs to trigger LLM response
- UI guidelines → ui-guidelines.md: display modes, layout constraints, theme, device, and locale
- External links → open-external-links.md: when redirecting to external URLs or setting "open in app" target
- OAuth → oauth.md: when tools need user authentication to access user-specific data
- Assets and styling → assets-and-styling.md: when adding images, fonts or CSS to views
- CSP → csp.md: when declaring allowed domains for fetch, assets, redirects, or iframes
- Events → events.md: when ChatGPT should react to activity in the app without the user, such as new comments or incidents
- OpenAI MCP extensions → openai-extensions.md: when the view should open from the ChatGPT sidebar, a conversation side panel, a file, or a deep link, or use ChatGPT at-mentions, titled messages or local files
What ships with it
30 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.
- evals/architecture.json 2.9 KB
- evals/communicate-with-host.json 1.0 KB
- evals/discover.json 2.7 KB
- evals/fetch-and-render-data.json 2.5 KB
- evals/open-external-links.json 807 B
- evals/README.md 538 B
- evals/skill.json 3.6 KB
- evals/state-and-context.json 2.3 KB
- evals/ui-guidelines.json 3.6 KB
- evals/update-existing.json 4.4 KB
- references/architecture.md 5.4 KB
- references/assets-and-styling.md 1.3 KB
- references/copy-template.md 1.2 KB
- references/csp.md 1.0 KB
- references/deploy.md 1.1 KB
- references/discover.md 2.8 KB
- references/download-file.md 1.9 KB
- references/ecommerce.md 26 KB
- references/evals.md 6.0 KB
- references/events.md 1.2 KB
- references/fetch-and-render-data.md 5.6 KB
- references/migrate-to-v1.md 11 KB
- references/oauth.md 13 KB
- references/open-external-links.md 1.7 KB
- references/openai-extensions.md 7.4 KB
- references/prompt-llm.md 455 B
- references/publish.md 1.0 KB
- references/run-locally.md 4.0 KB
- references/state-and-context.md 5.7 KB
- references/ui-guidelines.md 5.2 KB
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.
- 18d ago Changed · +1 lines 05cfd9865bd4
- 22d ago Changed · +1 lines · +8 tokens per session 4205194c61f8
- 1mo ago Changed · +1 lines d93dc601925d
- 1mo ago Changed · +3 lines 33339309ecf7
- 1mo ago First seen · 52 lines · 78 tokens per session scan A b2aced46f8c2
chatgpt-app-builder is a skill published in the GitHub repository alpic-ai/skybridge (2,177 stars, last pushed 2d ago), licensed MIT. It adds 86 tokens to every session and 976 once invoked, about $0.0003 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
awesome-chatgpt
Search this repository's awesome-ChatGPT-repositories list for open-source ChatGPT and LLM projects such as RAG frameworks, agents, chatbots, CLIs, prompts, and browser extensions. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, or AI development; not for editing or adding list…
pptx
Create and validate Microsoft PowerPoint presentations (.pptx), including structured slide decks, tables, workflows, metadata, and reproducible generation scripts. Use for presentation, slides, PowerPoint, PPT, or PPTX creation and verification tasks.
awesome-chatgpt-search
Search 2500+ curated ChatGPT and LLM open-source repositories. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, RAG, agents, langchain, NLP, AI development, or any open-source AI tooling.
ai-tutor
Use when user asks to explain, break down, or help understand technical concepts (AI, ML, or other technical topics). Makes complex ideas accessible through plain English and narrative structure. Use the provided scripts to transcribe videos.
deep-research
ChatGPT Pro Deep Research via gpt2agent. Two modes: light (model=research, 30-120s, citations preserved) and heavy (gpt-6-pro + connector, 5-30 min, long-form report recovered from the connector widget state, citations included). Reuses $CODEXHOME/auth.json (or /.codex/auth.json) or the manual /.gpt2agent/token.json…
gpt2agent
Best practices for using the 30 gpt2agent MCP tools that expose your ChatGPT account inside any MCP client.