OpenRoom is a browser-based desktop environment where an AI agent controls built-in applications through natural-language requests and structured actions. People use it to interact with tools such as music, email, diary, games, and other apps through a desktop-like interface running locally in the browser. Its catalogue add-ons provide commands and instructions for working with this environment.
Borrowing it
Nothing to install: this file belongs to MiniMax-AI/OpenRoom. 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/MiniMax-AI/OpenRoom/main/.claude/commands/import.mdgit clone --depth 1 https://github.com/MiniMax-AI/OpenRoomWrote 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/commands/minimax-ai/openroom/import)<a href="https://agentmods.dev/commands/minimax-ai/openroom/import"><img src="https://agentmods.dev/badge/commands/minimax-ai/openroom/import/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/commands/minimax-ai/openroom/import"><img src="https://agentmods.dev/badge/commands/minimax-ai/openroom/import.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.00875 |
| Opus 5.5 | $0.00000 | $0.00350 |
| Sonnet 5.5 | $0.00000 | $0.00175 |
| Haiku 4.5 | $0.00000 | $0.00088 |
Grade A, and why
import 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 2mo 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ST Card Import — CLI Orchestrator
Import SillyTavern character card files (PNG / CharX / ZIP) into the VibeApp system. Extracts apps from the card's character book and generates VibeApp code + mod scenario.
Parameter Parsing
$ARGUMENTSformat:{FilePath}FilePath: path to a.png,.charx, or.zipfile containing a SillyTavern character card
If $ARGUMENTS is empty, ask the user for the file path.
Execution Protocol
1. Extract Card Data
Run the extraction script:
python3 .claude/scripts/extract-card.py "{FilePath}"
Capture the JSON output. If extraction fails, report the error and stop.
2. Analyze & Present Results
Parse the extraction output JSON. Display a structured summary to the user:
Card: {source} ({source_type})
Character: {character.name}
Description: {first 100 chars of character.description}...
Apps Found ({count}):
1. [{comment}] — keywords: {keywords} | format: {format} | tags: {tag_names}
2. ...
Lore Entries: {count}
Regex Scripts: {count}
3. User Selection
Ask the user which apps to generate using AskUserQuestion:
- Option 1: Generate all apps (recommended)
- Option 2: Select specific apps
- Option 3: Skip app generation (mod only)
If the user selects specific apps, present a multi-select list of extracted apps.
4. Generate Apps via Vibe Workflow
For each selected app, derive a VibeApp requirement from the card data:
4.1 App Name Derivation
Convert the app's comment field to PascalCase for the VibeApp name:
"live stream"→LiveStream"social-feed"→SocialFeed"music app"→MusicApp- Chinese names: translate to English PascalCase
4.2 Requirement Generation
Build a comprehensive requirement description from the extracted data:
A {format}-based app that provides {functional description based on keywords and tags}.
UI Features:
{For each tag: describe the UI element it represents}
Data Resources:
{For each resource list: describe what data it manages}
Content Format: {format type — xml tags / bracket notation / prose}
Regex Scripts (for reference):
{List relevant scripts that transform this app's output}
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.
- 2mo ago First seen · 122 lines · 0 tokens per session scan A bcad7e0c0ca7
import is a command published in the GitHub repository MiniMax-AI/OpenRoom (1,272 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 875 tokens. 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.
import compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| importMiniMax-AI/OpenRoom | Command | 1.3k | 5mo ago | MIT | A | 0 | Claude Code |
| BOOTSTRAPhAcKlyc/MyAgents | Command | 592 | yesterday | AGPL-3.0 | A | 0 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |