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 paulp-o/ask-user-questions-mcp --skill ask-user-questionsgit clone --depth 1 https://github.com/paulp-o/ask-user-questions-mcpWrote 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/paulp-o/ask-user-questions-mcp/ask-user-questions)<a href="https://agentmods.dev/skills/paulp-o/ask-user-questions-mcp/ask-user-questions"><img src="https://agentmods.dev/badge/skills/paulp-o/ask-user-questions-mcp/ask-user-questions/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/paulp-o/ask-user-questions-mcp/ask-user-questions"><img src="https://agentmods.dev/badge/skills/paulp-o/ask-user-questions-mcp/ask-user-questions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 30 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]
- medium MCP Rug Pull · line 33 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 | $0.00032 | $0.00463 |
| Opus 5.5 | $0.00013 | $0.00185 |
| Sonnet 5.5 | $0.00006 | $0.00093 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
ask-user-questions 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.
What it actually says
Ask User Questions
Use this tool when you need to ask the user questions during execution. This allows you to:
Gather user preferences or requirements Clarify ambiguous instructions Get decisions on implementation choices as you work Offer choices to the user about what direction to take. Usage notes:
Users will always be able to select "Other" to provide custom text input Use multiSelect: true to allow multiple answers to be selected for a question Recommend an option unless absolutely necessary, make it the first option in the list and add "(Recommended)" at the end of the label For multiSelect questions, you MAY mark multiple options as "(Recommended)" if several choices are advisable Do NOT use this tool to ask "Is my plan ready?" or "Should I proceed?"
Usage
# Ask questions via CLI
npx auq ask '{"questions": [...]}'
# Or pipe JSON input
echo '{"questions": [...]}' | npx auq ask
Parameters
{
"questions": [
{
"prompt": "Which authentication method would you like to use?",
"title": "Auth",
"options": [
{"label": "JWT (Recommended)", "description": "Stateless, scalable"},
{"label": "Session cookies", "description": "Traditional, server-side"}
],
"multiSelect": false
}
]
}
| Field | Type | Required | Description |
|---|---|---|---|
questions |
array | Yes | 1-5 question objects |
questions[].prompt |
string | Yes | Full question text |
questions[].title |
string | Yes | Short label (max 12 chars) |
questions[].options |
array | Yes | 2-5 options with label and optional description |
questions[].multiSelect |
boolean | Yes | Allow multiple selections |
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 · 61 lines · 32 tokens per session scan A 5b3ec6b03f47
ask-user-questions is a skill published in the GitHub repository paulp-o/ask-user-questions-mcp (146 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 463 once invoked, about $0.0001 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
windows-powershell
Windows 11 system administration with PowerShell — system info reporting, hardware monitoring, package management (winget/scoop), disk cleanup, performance optimization, environment configuration, PowerShell profile setup with aliases and autocomplete, and Task Scheduler automation. Use when user asks to check system…
whendone-plus
Automatically notify the user when long-running terminal commands finish (npm test, docker build, git push, etc.). The agent monitors command execution and sends a desktop notification on completion if the command ran longer than threshold (default 10s). Use when user asks to "notify me when done", "desktop…
refit
Cross-session environment retrospective driven by OMC's own instrumentation — trace timelines, friction reports, logs, and plan notepads. Every finding lands on the surface that owns the fix (deterministic check, steering volume, tooling, or information access); nothing is written without user approval.
minimal-code-discipline
YAGNI-ladder coding discipline for writing changes — existence-first, reuse before writing, dependency ladder, shortest correct diff, with non-negotiables that must never be minimized away.
externalize-operator
MUST READ before calling externalizeop or saveexternalization. Required workflow steps.
multi-instance
Workflow for running multiple TD instances with Envoy, switching between them, and understanding the instance registry.