App Builder — generate complete, runnable fullstack WebUI applications (FastAPI backend + pure HTML/CSS/JS frontend) around on-device AI Model Packs (OCR, TTS, ASR, Super-Resolution, etc.). Use this skill when the user wants to build, generate, modify, or debug a standalone WebUI app around any installed Model Pack.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# App Builder
> **Injection scope**: this SKILL is injected only when the user is in App Builder mode (`activeToolMode='app-builder'`, chat path via `/api/chat`). The direct inference path `/api/appbuilder/run` does NOT read this file — it executes `runner.py` directly.
## The feature you are assisting with
App Builder lets the user pick one or more preinstalled **Model Packs** (OCR / TTS / ASR / super-resolution / ...) that run **on-device** on the local NPU/CPU, and — **WITH YOUR HELP** — turn them into a **complete standalone fullstack app project** from a natural-language request. The generated app is a **FastAPI backend + pure HTML/CSS/JS frontend** (no Vue, no build step), written to `${APP_ROOT}/data/app_builder/<app_id>/`, which the host can run / preview / stop / package. **All inference runs locally in-process; no cloud upload.**
…
The line at the top of this page pins the label git:20260822.fbacac1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (10273 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
qualcomm/qai-appbuilder · 252 stars · license a license file GitHub does not identify · pushed 2026-10-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_yfioozras37yjrcn
GET https://markdownregistry.com/api/v1/resolve?ref=qualcomm/qai-appbuilder/app-builder
GET https://markdownregistry.com/api/v1/blob/381d6492aa05489631149457f3f710f155a19d6b57d697ed242014e5bcf210c5
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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