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 metrics-frameworkgit 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/metrics-framework)<a href="https://agentmods.dev/skills/mohitagw15856/pm-claude-skills/metrics-framework"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/metrics-framework/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/metrics-framework"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/metrics-framework.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 | $0.00080 | $0.02203 |
| Opus 5.5 | $0.00032 | $0.00881 |
| Sonnet 5.5 | $0.00016 | $0.00441 |
| Haiku 4.5 | $0.00008 | $0.00220 |
Grade A, and why
metrics-framework 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill de Marco de Métricas
Este skill construye un marco de métricas completo adaptado a un producto o negocio. Conecta la métrica North Star con indicadores adelantados accionables, dejando claro cuáles métricas rastrear, cuáles optimizar y cómo se relacionan entre sí.
Entradas Requeridas
Trabaja desde lo que se proporciona. Si falta alguno de estos elementos, aún así produce el resultado completo: completa cada brecha con un supuesto razonable marcado (asumido, confirmar) y lista esos supuestos al final. Solo haz una pregunta cuando el tema central en sí está faltando (no hay nada sobre lo que escribir).
- Descripción del producto o negocio (un párrafo es suficiente)
- Modelo de negocio (SaaS / Marketplace / E-commerce / Aplicación de consumo / B2B / Otro)
- Etapa (Pre-PMF / Growth / Scale / Mature)
- Preferencia de marco (si tienen una): North Star + Árbol de Métricas / AARRR / HEART / OKRs / Personalizado
- Objetivo principal este trimestre (ej. crecer activación, reducir churn, aumentar ingresos)
Si no se especifica preferencia de marco, recomienda el mejor ajuste según etapa y modelo de negocio.
Lee desde / Escribe en el Cerebro
Si existe un professional-brain (brain/), úsalo antes de preguntar:
- Lee primero:
context.mdpara las definiciones de métricas que la organización ya acordó (reutilízalas — no redefinas silenciosamente una métrica) yknowledge/strategy.mdpara lo que el negocio está optimizando. - Escribe después: guarda el árbol de métricas y definiciones en
knowledge/, y cualquier decisión de establecimiento de objetivos endecisions/, cada una etiquetada con proveniencia para que un objetivo[hunch]no se trate como una meta comprometida.
Estructura de Salida
1. Recomendación de Marco (si no está especificada)
Explica en 2–3 oraciones por qué recomendas este marco para su contexto.
2. Métrica North Star
[Nombre de la Métrica]: [Definición — exactamente qué se mide y cómo]
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 · 138 lines · 80 tokens per session scan A edef9f76ab1f
metrics-framework is a skill published in the GitHub repository mohitagw15856/pm-claude-skills (1,449 stars, last pushed today), licensed MIT. It adds 80 tokens to every session and 2,203 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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