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 liqiongyu/lenny_skills_plus --skill conducting-user-interviewsgit clone --depth 1 https://github.com/liqiongyu/lenny_skills_plusWrote 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/liqiongyu/lenny_skills_plus/conducting-user-interviews)<a href="https://agentmods.dev/skills/liqiongyu/lenny_skills_plus/conducting-user-interviews"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/conducting-user-interviews/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/liqiongyu/lenny_skills_plus/conducting-user-interviews"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/conducting-user-interviews.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 | $0.00034 | $0.02034 |
| Opus 5 | $0.00017 | $0.01017 |
| Sonnet 5 | $0.00007 | $0.00407 |
| Haiku 4.5 | $0.00003 | $0.00203 |
Grade A, and why
conducting-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 12d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conducting User Interviews
Scope
Covers
- Planning an interview study that supports a specific product decision
- Recruiting the right participants (including early adopters when appropriate)
- Running interviews that capture specific stories and behaviors (not opinions)
- Synthesizing interviews into actionable insights, opportunities, and next steps
- Creating a lightweight “customer panel” habit for fast follow-ups
When to use
- “Create a discussion guide for discovery interviews.”
- “Recruit and run 8 user interviews about onboarding / activation.”
- “We need to understand why users switched (or churned) — run switch interviews.”
- “Help me synthesize interviews into insights + opportunities.”
- “I’m a PM and need to run customer conversations next week.”
When NOT to use
- You primarily need quantitative evidence or statistical confidence (use
designing-surveysfor surveys or an experiment/analytics workflow) - You’re doing usability testing with task-based evaluation as the main output (use
usability-testing— different protocol, different deliverables) - You’re running hiring/candidate interviews (use
conducting-interviews— different goals, rubrics, and legal considerations) - You already have feedback data and need to synthesize existing evidence (use
analyzing-user-feedback); this skill is for collecting new first-person stories - You’re working with high-risk populations or sensitive topics (medical, legal, minors) without appropriate approvals/training
- You have no decision to support (you’ll produce anecdotes without impact)
Inputs
Minimum required
- Product + target user/customer segment (who, context of use)
- The decision the interviews should inform (e.g., positioning, onboarding redesign, roadmap bet)
- Interview type: discovery / JTBD switch / churn / concept test (or “recommend”)
- Target participants (role, behaviors, situation, recency) + “who NOT to interview”
- Constraints: number of interviews, time box, language/region, recording allowed, incentives (if any)
What ships with it
13 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.
- eval/eval_config.json 761 B
- eval/SHOWCASE.md 4.5 KB
- eval/with_skill.md 26 KB
- eval/without_skill.md 12 KB
- README.md 1.0 KB
- references/CHECKLISTS.md 2.3 KB
- references/EXAMPLES.md 1.9 KB
- references/INTAKE.md 1.4 KB
- references/RUBRIC.md 4.2 KB
- references/SOURCE_SUMMARY.md 2.7 KB
- references/TEMPLATES.md 5.6 KB
- references/WORKFLOW.md 3.2 KB
- skillpack.json 402 B
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.
- 12d ago First seen · 138 lines · 34 tokens per session scan A 3c16fce19fa2
conducting-user-interviews is a skill published in the GitHub repository liqiongyu/lenny_skills_plus (52 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 2,034 once invoked, about $0.0002 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 2026-08-30.
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