PM Skills is a collection of plain-Markdown instructions that teach AI assistants structured methods for handling professional, personal, and life-admin tasks. People use it with Claude, ChatGPT, Gemini, Cursor, Codex, and other supported agents for work such as writing product requirements, reviewing documents, or planning difficult situations.
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 mohitagw15856/pm-claude-skills --skill discovery-interview-guidegit clone --depth 1 https://github.com/mohitagw15856/pm-claude-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/mohitagw15856/pm-claude-skills/discovery-interview-guide)<a href="https://agentmods.dev/skills/mohitagw15856/pm-claude-skills/discovery-interview-guide"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/discovery-interview-guide/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/mohitagw15856/pm-claude-skills/discovery-interview-guide"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/discovery-interview-guide.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 | $0.00087 | $0.02148 |
| Opus 5.5 | $0.00035 | $0.00859 |
| Sonnet 5.5 | $0.00017 | $0.00430 |
| Haiku 4.5 | $0.00009 | $0.00215 |
Grade A, and why
discovery-interview-guide 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 2d 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Guía de Entrevista de Descubrimiento
Diseña entrevistas que revelen información genuina — no validación de lo que ya crees. Cada guía sigue una estructura enfocada en historias y comportamiento pasado.
Principios Clave
- Nunca preguntes sobre el futuro. "¿Usarías X?" no te dice nada. "Cuéntame sobre la última vez que hiciste X" lo dice todo.
- Entrevista para conocer el comportamiento, no la opinión. Las opiniones son baratas. El comportamiento es evidencia.
- Los 5 Porqués. Toda respuesta superficial es una puerta. Sigue abriendo puertas.
- Confirma el problema antes de explorar la solución. Nunca muestres un prototipo hasta haber confirmado que el problema existe sin prompting.
Estructura de la Entrevista (60 minutos estándar)
1. Calentamiento (5 min)
Genera rapport. Hazlos hablar. No discutas el tema aún.
- "Cuéntame un poco sobre tu rol y cómo es una semana típica para ti."
- "¿Cuáles son las herramientas en las que más confías día a día?"
2. Contextualización (10 min)
Entiende su mundo antes de sumergirte en el espacio del problema.
- "Camina conmigo a través de cómo actualmente [manejas el área de dominio]."
- "¿Cómo se ve ese proceso de principio a fin?"
- "¿Quién más está involucrado cuando haces esto?"
3. Exploración del Problema (25 min) — EL NÚCLEO
Aflora el dolor sin dirigir la respuesta.
- "Cuéntame sobre la última vez que tuviste que [tarea relevante]. ¿Qué pasó?"
- "¿Cuál fue la parte más difícil de eso?"
- "¿Cómo lo manejaste?"
- "¿Qué intentaste antes de conformarte con ese enfoque?"
- "¿Cuál es el costo para ti cuando esto sale mal?" (tiempo, dinero, estrés, reputación)
- "Si pudieras agitar una varita mágica y cambiar una cosa de este proceso, ¿cuál sería?"
⚠️ No menciones tu producto o característica durante esta fase.
4. Soluciones Actuales (10 min)
Entiende el panorama competitivo desde su perspectiva.
- "¿Qué herramientas o workarounds usas hoy para esto?"
- "¿Qué te gusta de [solución actual]? ¿Qué te frustra?"
- "¿Has probado otros enfoques? ¿Qué pasó?"
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.
- 2d ago First seen · 142 lines · 87 tokens per session scan A c96f3fa65330
discovery-interview-guide is a skill published in the GitHub repository mohitagw15856/pm-claude-skills (1,449 stars, last pushed today), licensed MIT. It adds 87 tokens to every session and 2,148 once invoked, about $0.0003 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 2026-10-12.
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