MemOS is a memory operating system that stores, retrieves, and manages long-term memory for large language models and AI agents. It supports context-aware interactions by organizing text, images, tool traces, personas, and knowledge bases for reuse across tasks.
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 MemTensor/MemOS --skill ask-user-questiongit clone --depth 1 https://github.com/MemTensor/MemOSWrote 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/memtensor/memos/ask-user-question)<a href="https://agentmods.dev/skills/memtensor/memos/ask-user-question"><img src="https://agentmods.dev/badge/skills/memtensor/memos/ask-user-question/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/memtensor/memos/ask-user-question"><img src="https://agentmods.dev/badge/skills/memtensor/memos/ask-user-question.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 Excessive Agency · line 88 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00044 | $0.00998 |
| Opus 5.5 | $0.00018 | $0.00399 |
| Sonnet 5.5 | $0.00009 | $0.00200 |
| Haiku 4.5 | $0.00004 | $0.00100 |
Grade A, and why
ask-user-question 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ask User Question
Use this MCP tool to ask users questions and get their responses. This is the ONLY way to communicate with the user - they cannot see CLI/terminal output.
Critical Rule
The user CANNOT see your text output or CLI prompts!
If you write "Let me ask you..." and then just output text - THE USER WILL NOT SEE IT. You MUST call this tool to display a modal in the UI.
When to Use
- Clarifying questions before starting ambiguous tasks
- Asking user preferences (e.g., "How would you like files organized?")
- Confirming actions before executing (especially destructive/irreversible ones)
- Getting approval for sensitive actions (financial, messaging, deletion, etc.)
- Any situation where you need user input to proceed
Parameters
{
"questions": [{
"question": "Your question to the user",
"header": "Short label (max 12 chars)",
"options": [
{ "label": "Option 1", "description": "What this does" },
{ "label": "Option 2", "description": "What this does" }
],
"multiSelect": false
}]
}
question(required): The question text to displayheader(optional): Short category label, shown as modal title (max 12 chars)options(optional): Array of selectable choices (2-4 recommended)multiSelect(optional): Allow selecting multiple options (default: false)
Custom text input: To allow users to type their own response, include an option with label "Other" (case-insensitive). When selected, the UI shows a text input field.
{ "label": "Other", "description": "Type your own response" }
Important: When "Other" is selected, the response will be User responded: [their text] instead of User selected: Other. You must wait for and handle this text response - do NOT proceed as if they selected a predefined option.
Examples
Asking about organization preferences
AskUserQuestion({
"questions": [{
"question": "How would you like to organize your Downloads folder?",
"header": "Organize",
"options": [
{ "label": "By file type", "description": "Group into Documents, Images, Videos, etc." },
{ "label": "By date", "description": "Group by month/year" },
{ "label": "By project", "description": "You'll help me name project folders" }
]
}]
})
What ships with it
3 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 · 134 lines · 44 tokens per session scan A 032c36e94457
ask-user-question is a skill published in the GitHub repository MemTensor/MemOS (11,880 stars, last pushed 6d ago), licensed Apache-2.0. It adds 44 tokens to every session and 998 once invoked, about $0.0002 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
memory-triage
Persistent long-term memory protocol powered by mem0. Evaluate conversations for durable facts worth storing via memoryadd. Handles identity, preferences, decisions, configurations, rules, projects, and relationships. Loaded by the openclaw-mem0 plugin when skills mode is active.
mem0
Mem0 Platform SDK for adding persistent memory to AI applications. TRIGGER when: user mentions "mem0", "MemoryClient", "memory layer", "remember user preferences", "persistent context", "personalization", or needs to add long-term memory to chatbots, agents, or AI apps. Covers Python SDK (mem0ai), TypeScript SDK…
mem0-cli
Mem0 CLI -- the command-line interface for mem0 memory operations. TRIGGER when: user mentions "mem0 cli", "mem0 command line", "@mem0/cli", "mem0-cli", "pip install mem0-cli", "npm install -g @mem0/cli", or is running mem0 commands in a terminal/shell (mem0 add, mem0 search, mem0 list, mem0 get, mem0 init, mem0…
mem0-vercel-ai-sdk
Mem0 provider for Vercel AI SDK (@mem0/vercel-ai-provider). TRIGGER when: user mentions "vercel ai sdk", "@mem0/vercel-ai-provider", "createMem0", "retrieveMemories", "addMemories", "getMemories", "searchMemories", "mem0 vercel", "AI SDK provider", "AI SDK memory", or is using generateText/streamText with mem0. Also…
mem0-status
Diagnoses mem0 connectivity, API key validity, and memory read/write functionality. Use when memory operations fail, searches return empty, addmemory errors occur, or to verify the plugin is working correctly.
mem0-tour
Browses all stored memories grouped by category with full content display. Use when reviewing all project memories, exploring stored knowledge, onboarding to a project, or getting an overview of captured decisions, conventions, and learnings.