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 matteotitta/genesys-skills --skill customer-interviewsgit clone --depth 1 https://github.com/matteotitta/genesys-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/matteotitta/genesys-skills/customer-interviews)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/customer-interviews"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/customer-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/matteotitta/genesys-skills/customer-interviews"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/customer-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 | $0.00029 | $0.01895 |
| Opus 5 | $0.00015 | $0.00948 |
| Sonnet 5 | $0.00006 | $0.00379 |
| Haiku 4.5 | $0.00003 | $0.00189 |
Grade A, and why
customer-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 9d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customer interviews skill
Prepare structured interview guides for B2B SaaS customer research. Produces question banks, preparation frameworks, and synthesis templates that feed directly into ICP research and positioning work.
Inputs
| Input | Required | Source |
|---|---|---|
| Interview type | Yes | User specifies: discovery, win/loss, churn, expansion, or testimonial |
| Company context | Recommended | /company-context output or client CLAUDE.md |
| ICP profile | Recommended | /icp-research output |
| Specific research goals | Yes | User states what they're trying to learn |
Interview types
Full question banks (10-15 questions per type) live in the premium reference. Use this table to pick the right type, then pull 8-12 questions from the bank.
| Type | Purpose | When to use |
|---|---|---|
| 1. Discovery | Understand the prospect's world before they became a customer. Map pain, workflow, buying triggers, decision criteria. | Early-stage ICP research, entering new segments, validating positioning hypotheses |
| 2. Win/loss | Understand why deals closed (or didn't). Extract decision criteria, competitive dynamics, buying process details. | After closed-won/closed-lost deals, competitive positioning, sales enablement |
| 3. Churn | Understand why customers left. Identify product gaps, service failures, unmet expectations. | After churn events, retention strategy, product feedback loops |
| 4. Expansion | Understand what drives upsell, cross-sell, seat expansion. Map the internal champion's advocacy process. | Expansion playbook development, pricing research, PLG analysis |
| 5. Testimonial | Extract quotable results, transformation stories, social proof. | Case study production, social proof gathering, website copy refresh |
Preparation framework
Run this checklist before every interview.
1. Research the interviewee
- Role, title, tenure at company
- LinkedIn profile review (career path, posts, interests)
- Their company's stage, size, industry
- Any previous interactions with your team (sales notes, support tickets, NPS scores)
- Public content they've produced (blog posts, conference talks, comments)
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.
- 9d ago First seen · 168 lines · 159 tokens per session scan A e5352eaf75fb
customer-interviews is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 1,895 once invoked, about $0.0001 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 2026-09-03.
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