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 product-health-analysisgit 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/product-health-analysis)<a href="https://agentmods.dev/skills/mohitagw15856/pm-claude-skills/product-health-analysis"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/product-health-analysis/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/product-health-analysis"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/product-health-analysis.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 | $0.00084 | $0.00950 |
| Opus 5.5 | $0.00034 | $0.00380 |
| Sonnet 5.5 | $0.00017 | $0.00190 |
| Haiku 4.5 | $0.00008 | $0.00095 |
Grade A, and why
product-health-analysis 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill de Análisis de Salud del Producto
Transforma datos de métricas en bruto en una narrativa clara de salud — qué funciona, qué no, y qué requiere atención inmediata.
Inputs Requeridos
Solicita al usuario estos datos si no están disponibles:
- Datos de métricas (valores actuales para métricas clave — incluso números aproximados funcionan)
- Objetivos o puntos de referencia (targets de OKR, líneas base históricas, o benchmarks de industria)
- Período (semana / mes / trimestre siendo analizado)
- Área de producto o segmento (¿estamos mirando el producto completo o una feature específica?)
Marco de Métricas
Analiza a través de cuatro capas:
- Acquisition — nuevos usuarios, calidad de fuente, tendencias de CAC
- Activation — tiempo para primer valor, tasas de completitud de onboarding
- Engagement — DAU/MAU, adopción de features, profundidad de sesión
- Retention — retención D1/D7/D30, tasa de churn, tasa de resurrección
Proceso
- Para cada métrica, compara: período actual vs. período anterior, actual vs. objetivo
- Marca cualquier cosa más del 10% fuera del objetivo como requiriendo investigación
- Busca correlaciones — ¿una caída en activation explica una caída de retention 2 semanas después?
- Escribe un resumen de salud en inglés claro (sin jerga) adecuado para compartir con stakeholders no técnicos
- Recomienda top 3 áreas para investigación inmediata con pasos diagnósticos sugeridos
- Valida — Confirma que cada métrica marcada tiene una hipótesis de causa raíz plausible, no solo un número en bruto, y cada acción recomendada tiene un propietario o equipo específico
Estructura de Output
Informe de Salud del Producto — [Período]
Salud General: 🟢 On Track / 🟡 Watch / 🔴 Action Required
| Métrica | Actual | Objetivo | vs. Período Anterior | Estado |
|---|---|---|---|---|
| [métrica] | [valor] | [objetivo] | [+/-%] | [🟢/🟡/🔴] |
Observaciones Clave: [3-5 observaciones puntuales escritas en inglés claro]
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 · 69 lines · 84 tokens per session scan A 378368990ad1
product-health-analysis is a skill published in the GitHub repository mohitagw15856/pm-claude-skills (1,449 stars, last pushed today), licensed MIT. It adds 84 tokens to every session and 950 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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