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 menkesu/awesome-pm-skills --skill customer-interviewsgit clone --depth 1 https://github.com/menkesu/awesome-pm-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/menkesu/awesome-pm-skills/customer-interviews)<a href="https://agentmods.dev/skills/menkesu/awesome-pm-skills/customer-interviews"><img src="https://agentmods.dev/badge/skills/menkesu/awesome-pm-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/menkesu/awesome-pm-skills/customer-interviews"><img src="https://agentmods.dev/badge/skills/menkesu/awesome-pm-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 | $0.00111 | $0.04254 |
| Opus 5.5 | $0.00044 | $0.01702 |
| Sonnet 5.5 | $0.00022 | $0.00851 |
| Haiku 4.5 | $0.00011 | $0.00425 |
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 21d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
3 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.
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.
- 21d ago First seen · 162 lines · 111 tokens per session scan A df0725057f7c
customer-interviews is a skill published in the GitHub repository menkesu/awesome-pm-skills (451 stars, last pushed 21d ago), with no licence file. It adds 111 tokens to every session and 4,254 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-07.
Other skills, from other repositories
feature-prioritization
Prioritize features and backlog items using RICE scoring and Linear's enablers vs blockers lens. Use when asked to rank features, prioritize a backlog, decide what to build next, or evaluate feature requests against each other.
decision-logger
Capture decision traces — the reasoning behind key PM decisions. Use after PRD approvals, scope changes, launch/kill calls, prioritization shifts, or any significant product decision.
brainstorming
Collaborative ideation for PM work — features, experiments, strategies, solutions. Use when doing creative work, exploring options, or turning a vague idea into a concrete plan.
strategy-connector
Help PMs map any work item (feature, experiment, initiative) to strategic goals and OKRs. Use before PRDs, backlog prioritization, or planning.
writing-clearly
Help PMs write clear, concise prose for PM artifacts. Use for PRDs, status updates, Slack posts, emails, and documentation.
launch-readiness
Help PMs ensure launches are well-planned with nothing falling through the cracks. Use before any feature launch, experiment rollout, or release.