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 qbr-deckgit 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/qbr-deck)<a href="https://agentmods.dev/skills/mohitagw15856/pm-claude-skills/qbr-deck"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/qbr-deck/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/qbr-deck"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/qbr-deck.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 | $0.00090 | $0.02635 |
| Opus 5.5 | $0.00036 | $0.01054 |
| Sonnet 5.5 | $0.00018 | $0.00527 |
| Haiku 4.5 | $0.00009 | $0.00264 |
Grade A, and why
qbr-deck 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill QBR Deck
Produce una Quarterly Business Review completa — estructurada, respaldada por datos y centrada en el cliente. Un buen QBR demuestra el valor entregado, alinea los objetivos para el próximo trimestre y fortalece la relación ejecutiva. Nunca debe parecer una demostración de producto o una actualización de proveedor.
Inputs Requeridos
Solicita estos si no están ya proporcionados:
- Nombre de la cuenta, nombre del CSM y stakeholders del cliente que asistirán
- Detalles del contrato — ARR, fecha de inicio del contrato, fecha de renovación
- Objetivos del trimestre anterior (del QBR anterior o kickoff)
- Datos de uso y adopción — métricas clave del trimestre
- Resumen de soporte — tickets abiertos, tiempo de resolución, cualquier escalación
- Resultados de negocio que le importan al cliente — cómo se ve el éxito para ellos
- Actualizaciones de producto o nuevas funcionalidades relevantes para este cliente
- Objetivos para el próximo trimestre
- Cualquier conversación comercial abierta (expansión, renovación, señales de riesgo)
Principios QBR
- Lidera con resultados del cliente, no con características del producto
- Cada métrica debe conectar con un resultado de negocio que le importe al cliente
- La agenda es una conversación, no una presentación — construye tiempo para la entrada del cliente en cada etapa
- Cierra con compromisos mutuos, no solo acciones del proveedor
Formato de Salida
QBR: [Nombre de la Cuenta] × [Tu Empresa]
Revisión de Negocio [Trimestre] [Año]
Fecha: [Fecha] | Ubicación / enlace de llamada: [Por confirmar] Asistentes del cliente: [Nombres y roles] Asistentes de [tu empresa]: [Nombres y roles]
Diapositiva 1: Agenda (5 min)
| Tiempo | Tema | Responsable |
|---|---|---|
| 0:00 | Bienvenida e introducciones | CSM |
| 0:05 | [Trimestre anterior] — ¿cómo nos fue? | CSM + Cliente |
| 0:20 | Valor entregado — impacto empresarial | CSM |
| 0:35 | Qué viene — vista previa de roadmap | CSM / Producto |
| 0:45 | [Próximo trimestre] — objetivos y prioridades | Cliente |
| 0:55 | Acciones y compromisos mutuos | CSM |
| 1:00 | Cierre |
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 · 228 lines · 90 tokens per session scan A e33e6e36b881
qbr-deck is a skill published in the GitHub repository mohitagw15856/pm-claude-skills (1,449 stars, last pushed today), licensed MIT. It adds 90 tokens to every session and 2,635 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 2026-10-12.
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