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 atypica-ai/marketing-skills --skill atypica-user-interviewgit clone --depth 1 https://github.com/atypica-ai/marketing-skillsWrote 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/atypica-ai/marketing-skills/atypica-user-interview)<a href="https://agentmods.dev/skills/atypica-ai/marketing-skills/atypica-user-interview"><img src="https://agentmods.dev/badge/skills/atypica-ai/marketing-skills/atypica-user-interview/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/atypica-ai/marketing-skills/atypica-user-interview"><img src="https://agentmods.dev/badge/skills/atypica-ai/marketing-skills/atypica-user-interview.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 | $0.00139 | $0.03144 |
| Opus 5 | $0.00069 | $0.01572 |
| Sonnet 5 | $0.00028 | $0.00629 |
| Haiku 4.5 | $0.00014 | $0.00314 |
Grade A, and why
atypica-user-interview scanned grade A with 1 finding 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 13d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
No MCP setup needed — just `curl` and `jq`: How it starts
The opening of the file, as written. The whole thing — 403 lines — stays where its author put it; the contents beside it link to each section on GitHub.
atypica User Interview & Discussion
Run one-on-one interviews or group discussions with AI personas that simulate real users. atypica.ai maintains a library of AI models trained to behave like specific types of real people — each with a name, background story, personality, and authentic opinions. You ask the research question, the AI finds fitting personas, plans the research, conducts the interviews, and produces a synthesized report.
No recruiting. No scheduling. Results in minutes.
What this does
- Interviews — the AI conducts deep one-on-one conversations with 3–8 AI personas, each responding as a distinct real person would
- Group discussions — the AI runs a focus group where personas debate and react to each other
- Report generation — the AI synthesizes everything into a structured research report with key findings
Typical use cases:
- "How would different age groups react to this pricing model?"
- "Interview 5 potential customers about their pain points"
- "Run a focus group on this product concept"
- "What would Gen Z users think about this feature?"
Prerequisites
IMPORTANT: This skill works in two modes depending on your setup.
Option 1: MCP Server (Recommended for AI assistants)
If tools starting with atypica_universal_ are already available in your environment, you're ready. Otherwise, configure the MCP server:
Configuration parameters:
- Endpoint:
https://atypica.ai/mcp/universal - API Key: Create a free account at https://atypica.ai, then get your key at https://atypica.ai/account/api-keys (format:
atypica_xxx) - Authentication: HTTP header
Authorization: Bearer <api_key>
Example: Claude Desktop — edit the config file at:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"atypica-universal": {
"transport": "http",
"url": "https://atypica.ai/mcp/universal",
"headers": {
"Authorization": "Bearer atypica_xxx"
}
}
}
}
What ships with it
2 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.
- 13d ago First seen · 403 lines · 139 tokens per session scan A 27b53c6efb66
atypica-user-interview is a skill published in the GitHub repository atypica-ai/marketing-skills (44 stars, last pushed 5mo ago), licensed MIT. It adds 139 tokens to every session and 3,144 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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