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 competitor-teardowngit 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/competitor-teardown)<a href="https://agentmods.dev/skills/mohitagw15856/pm-claude-skills/competitor-teardown"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/competitor-teardown/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/competitor-teardown"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/competitor-teardown.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 | $0.00099 | $0.01647 |
| Opus 5.5 | $0.00040 | $0.00659 |
| Sonnet 5.5 | $0.00020 | $0.00329 |
| Haiku 4.5 | $0.00010 | $0.00165 |
Grade A, and why
competitor-teardown 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill de Desglose Competitivo
Esta skill produce un documento de análisis competitivo completo — estructurado para usar en decks de estrategia, materiales de inversores, habilitación de ventas o sesiones de planificación de producto.
Inputs Requeridos
Trabaja con lo que se te proporciona. Si falta algo de esto, aún así produce el output completo: rellena cada brecha con una suposición razonable marcada (asumido, confirmar) y enumera esas suposiciones al final. Haz una pregunta solo cuando el tema central mismo esté ausente (no hay nada sobre lo que escribir).
- Tu producto (nombre + descripción de una línea)
- Competidores a analizar (lista de 2–5 nombres; si no se proporciona, pregunta)
- Profundidad del análisis (descripción general rápida / desglose detallado)
- Caso de uso primario para este análisis (p.ej. habilitación de ventas, deck de inversores, estrategia interna, planificación de producto)
Materiales Más Profundos
references/intel-sourcing-guide.md— de dónde provienen los hechos competitivos (cuatro niveles de fuente), qué fuente usar por sección de desglose, las etiquetas de confianza [verified]/[reported]/[assumed], y la línea ética. Aplica su etiquetado a cada afirmación sustantiva en el output.templates/teardown-skeleton.md— un desglose rellenable con las etiquetas de confianza y una cola de verificación incorporada. Ofrécelo cuando el usuario quiera reunir la información por su cuenta.
Estructura de Output
1. Descripción General del Landscape Competitivo
Un párrafo resumiendo la dinámica del mercado: quiénes son los actores clave, cómo se segmenta el mercado, y dónde se encuentra el espacio blanco. Mantén esto bajo 150 palabras — es el resumen ejecutivo.
2. Mapa de Posicionamiento
Describe un mapa de posicionamiento 2x2 en forma de texto (ya que no puedes renderizar imágenes):
- Define los dos ejes relevantes para este mercado (p.ej. "Facilidad de Uso vs. Profundidad de Características" o "Precio vs. Preparación Empresarial")
- Coloca cada competidor en un cuadrante con una justificación de una frase
- Coloca el producto del usuario y destaca la implicación estratégica
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 · 103 lines · 99 tokens per session scan A 822b1ee87849
competitor-teardown is a skill published in the GitHub repository mohitagw15856/pm-claude-skills (1,449 stars, last pushed today), licensed MIT. It adds 99 tokens to every session and 1,647 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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