Awesome LLM Apps is a collection of open-source applications built around large language models, including AI agents and retrieval-augmented generation apps. It is intended for developers who want to study, run, or adapt these applications and related agent skills.
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 Shubhamsaboo/awesome-llm-apps --skill chatgpt-app-buildergit clone --depth 1 https://github.com/Shubhamsaboo/awesome-llm-appsWrote 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/shubhamsaboo/awesome-llm-apps/chatgpt-app-builder)<a href="https://agentmods.dev/skills/shubhamsaboo/awesome-llm-apps/chatgpt-app-builder"><img src="https://agentmods.dev/badge/skills/shubhamsaboo/awesome-llm-apps/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/shubhamsaboo/awesome-llm-apps/chatgpt-app-builder"><img src="https://agentmods.dev/badge/skills/shubhamsaboo/awesome-llm-apps/chatgpt-app-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 6 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00129 | $0.00752 |
| Opus 5 | $0.00064 | $0.00376 |
| Sonnet 5 | $0.00026 | $0.00150 |
| Haiku 4.5 | $0.00013 | $0.00075 |
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 12d 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:
- chatgpt-app-builder — 100% identical, 0 lines differ
- chatgpt-app-builder — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ChatGPT App Builder
Build ChatGPT apps with interactive widgets using mcp-use. Zero-config widget development with automatic registration and built-in React hooks.
The app is consumed by two users at once: the human and the ChatGPT LLM. They collaborate through the widget -- the human interacts with it, the LLM sees its state. The widget is your shared surface.
Before You Code
- Clarify what to build → discover.md: when starting a new app, validating an idea, or scoping features
- Design tools and widgets → architecture.md: when deciding what needs UI vs tools-only, designing UX flows
Setup
- Scaffold and run → setup.md: when creating a new project, starting dev server, connecting to ChatGPT/Claude
Implementation
- Server handlers + widget creation → server-and-widgets.md: when writing server.tool() with widgets, widget() helper, React widget files
- Widget state and LLM context → state-and-context.md: when persisting state, triggering LLM from widget, managing ephemeral vs persistent data
- Display modes, theme, layout → ui-guidelines.md: when adapting to inline/fullscreen/PiP, handling theme, device, locale
- Component API → components-api.md: when using McpUseProvider, Image, ErrorBoundary, useWidget
- CSP and metadata → csp-and-metadata.md: when configuring external domains, dual-protocol metadata
- Advanced patterns → widget-patterns.md: when building complex widgets with tool calls, state, theming
Quick Reference
// Server
import { MCPServer, widget, text, object } from "mcp-use/server";
server.tool({ name: "...", schema: z.object({...}), widget: { name: "widget-name" } },
async (input) => widget({ props: {...}, output: text("...") })
);
// Widget (resources/widget-name.tsx)
import { McpUseProvider, useWidget, type WidgetMetadata } from "mcp-use/react";
export const widgetMetadata: WidgetMetadata = { description: "...", props: z.object({...}) };
export default function MyWidget() {
const { props, isPending, callTool, sendFollowUpMessage, state, setState, theme } = useWidget();
if (isPending) return <McpUseProvider autoSize><div>Loading...</div></McpUseProvider>;
return <McpUseProvider autoSize><div>{/* UI */}</div></McpUseProvider>;
}
What ships with it
17 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 2.3 KB
- evals/discover.json 1.7 KB
- evals/README.md 476 B
- evals/skill.json 2.1 KB
- evals/state-and-context.json 1.4 KB
- evals/ui-guidelines.json 1.6 KB
- evals/widgets.json 1.6 KB
- LICENSE.txt 8.9 KB
- references/architecture.md 5.2 KB
- references/components-api.md 9.8 KB
- references/csp-and-metadata.md 5.4 KB
- references/discover.md 2.1 KB
- references/server-and-widgets.md 6.9 KB
- references/setup.md 2.1 KB
- references/state-and-context.md 7.4 KB
- references/ui-guidelines.md 5.7 KB
- references/widget-patterns.md 6.7 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.
- 12d ago First seen · 56 lines · 129 tokens per session scan A 7b8992f5fc17
chatgpt-app-builder is a skill published in the GitHub repository Shubhamsaboo/awesome-llm-apps (136,904 stars, last pushed yesterday), licensed Apache-2.0. It adds 129 tokens to every session and 752 once invoked, about $0.0006 per session on Opus 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.
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