用户访谈

用户访谈 is a skill for Claude Code, Codex from t0moon/competitorsmart. It costs 33 tokens per session (1,294 once invoked), scanned A, original, no licence file.

A collection of 64 product-leader observations from 43 people about user interviews. User interviews are conversations used to learn about people’s real needs, actions, and experiences.

In plain words
What is it for?
Use it when preparing, conducting, or improving user interviews.
Why use it?
It offers guidance for finding concrete behaviour and needs, rather than relying only on what users say they might do.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Install

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.

agentmods
npx agentmods add skills/t0moon/competitorsmart/02-user-interviews
Any agent
npx skills add t0moon/competitorsmart --skill 02-user-interviews
Clone the repo
git clone --depth 1 https://github.com/t0moon/competitorsmart

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for 用户访谈

README.md
[![agentmods](https://agentmods.dev/badge/skills/t0moon/competitorsmart/02-user-interviews.svg)](https://agentmods.dev/skills/t0moon/competitorsmart/02-user-interviews)
Your own site
<a href="https://agentmods.dev/skills/t0moon/competitorsmart/02-user-interviews"><img src="https://agentmods.dev/badge/skills/t0moon/competitorsmart/02-user-interviews.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,294 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.01294
Opus 5 $0.00016 $0.00647
Sonnet 5 $0.00007 $0.00259
Haiku 4.5 $0.00003 $0.00129

Measured 6d ago against content hash 384f13494197, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

用户访谈 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.

skills/lenny-pm-skills/02-用户访谈-user-interviews/SKILL.md · 121 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 6d ago First seen · 121 lines · 33 tokens per session scan A 384f13494197

Subscribe to this mod's changes

用户访谈 is a skill published in the GitHub repository t0moon/competitorsmart (24 stars, last pushed 4mo ago), with no licence file. It adds 33 tokens to every session and 1,294 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.