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 agentmods add skills/junetic/usercall-mcp/run-user-interviewsnpx skills add junetic/usercall-mcp --skill run-user-interviewsgit clone --depth 1 https://github.com/junetic/usercall-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/junetic/usercall-mcp/run-user-interviews)<a href="https://agentmods.dev/skills/junetic/usercall-mcp/run-user-interviews"><img src="https://agentmods.dev/badge/skills/junetic/usercall-mcp/run-user-interviews.svg" alt="Measured on agentmods" 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 | $0.00052 | $0.00520 |
| Opus 5 | $0.00026 | $0.00260 |
| Sonnet 5 | $0.00010 | $0.00104 |
| Haiku 4.5 | $0.00005 | $0.00052 |
Grade A, and why
run-user-interviews 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 4d 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
Run user interviews
Use the Usercall MCP (usercall) to create a study, share the interview link, then return themes with verbatim participant quotes.
When to use
- Real user feedback instead of synthetic or assumed answers
- Onboarding, pricing, or usability confusion
- Feedback on an image or Figma prototype
- The user asks to interview users, run research, or collect quotes
Workflow
- Call
create_studywith a concretekey_research_goalandbusiness_context. - Return
interview_linkimmediately so the user can share it (email, Slack, Discord, or in-product). Interviews complete asynchronously as participants finish — minutes to hours. Do not sit in a poll loop. - When the user says people are done, or they ask for results, call
get_study_status. If status iscomplete, callget_study_results. If it is stillrunningoranalyzing, reportcompleted_interviews/target_interviewsand wait for the user. - Present each theme with quotes from the
quotesarray. Do not paraphrase quotes. - Use
update_studyonly to change slots, interview mode, guide copy, questions, or media. The research goal cannot change. - Use
delete_studyonly when the user asks to delete the study.
Constraints
- One active agent study per personal Usercall account.
interview_mode:voice(default),text, orvoice_and_text.language:auto(default),en, orko.- Optional
study_media:image(direct image URL) orprototype(Figma proto URL). Media is web-only; phone callers will not see it. - If
create_studyreturns HTTP 402, give the usercheckout_urlso they can add credits.
Example
create_study
key_research_goal: "Understand why users drop off during onboarding"
business_context: "B2B SaaS, 3-step signup flow"
target_interviews: 5
language: "en"
interview_mode: "voice"
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.
- 4d ago First seen · 44 lines · 52 tokens per session scan A 7eeadb5933dc
run-user-interviews is a skill published in the GitHub repository junetic/usercall-mcp (5 stars, last pushed 6d ago), licensed MIT. It adds 52 tokens to every session and 520 once invoked, about $0.0003 per session on Opus 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 2026-08-31.
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