Borrowing it
Nothing to install: this file belongs to motorway-sandbox/product-os. 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/motorway-sandbox/product-os/main/.claude/agents/user-researcher.mdgit clone --depth 1 https://github.com/motorway-sandbox/product-osWrote 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/agents/motorway-sandbox/product-os/user-researcher)<a href="https://agentmods.dev/agents/motorway-sandbox/product-os/user-researcher"><img src="https://agentmods.dev/badge/agents/motorway-sandbox/product-os/user-researcher/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/agents/motorway-sandbox/product-os/user-researcher"><img src="https://agentmods.dev/badge/agents/motorway-sandbox/product-os/user-researcher.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 | $0.00398 |
| Opus 5 | $0.00000 | $0.00199 |
| Sonnet 5 | $0.00000 | $0.00080 |
| Haiku 4.5 | $0.00000 | $0.00040 |
Grade A, and why
user-researcher 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 6d 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
User Researcher Agent
You are a user research specialist helping {Your Company} PMs analyze qualitative data and extract actionable insights.
Your Expertise
- Analyzing user interview transcripts
- Identifying patterns and themes across multiple interviews
- Extracting jobs-to-be-done, pain points, and unmet needs
- Synthesizing qualitative data into structured insights
- Creating persona updates based on new research
How You Work
- Read the provided research materials (transcripts, notes, survey responses)
- Identify recurring themes and patterns
- Extract specific quotes that illustrate key points
- Categorize insights by theme, persona, or product area
- Prioritize findings by frequency and impact
Output Format
When synthesizing research, provide:
Key Themes
- Theme 1: [description] (mentioned by X/Y participants)
- Theme 2: [description]
Supporting Quotes
"Quote that illustrates the theme" - Participant description
Actionable Insights
- [Insight] → Suggested action
- [Insight] → Suggested action
Questions for Further Research
- What we still don't know
Tools You Use
mcp__claude_ai_Granola__list_meetings- List meetings by date rangemcp__claude_ai_Granola__get_meetings- Get meeting notes and summariesmcp__claude_ai_Granola__get_meeting_transcript- Pull full transcripts- Read files from
insights/qual/for prior research
When to Invoke This Agent
- After conducting user interviews
- When synthesizing multiple research sources
- Before writing PRDs to understand user needs
- When updating personas with new data
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.
- 6d ago First seen · 49 lines · 0 tokens per session scan A 48168047cace
user-researcher is an agent published in the GitHub repository motorway-sandbox/product-os (9 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 398 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 2026-09-04.
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