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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skillsnpx agentmods add skills/mohitagw15856/pm-claude-skills/sprint-planningWrote 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/sprint-planning)<a href="https://agentmods.dev/skills/mohitagw15856/pm-claude-skills/sprint-planning"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/sprint-planning/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/sprint-planning"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/sprint-planning.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 | $0.02250 |
| Opus 5.5 | $0.00034 | $0.00900 |
| Sonnet 5.5 | $0.00017 | $0.00450 |
| Haiku 4.5 | $0.00008 | $0.00225 |
Grade A, and why
sprint-planning 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill de Planificación de Sprint
Transforma elementos crudos del backlog en un sprint estructurado y alcanzable con objetivos claros, alcance calibrado por velocidad y resultados listos para el equipo.
Lee de / Escribe en el Brain
Si existe un professional-brain (brain/), fundamenta en él en lugar de volver a preguntar lo que ya sabes:
- Lee primero:
decisions/prioritarias (lo que el equipo acordó que importa),entities/de features ehypotheses/abiertas que el sprint podría probar. Ejecutapython3 ../professional-brain/scripts/brain_query.py ./brain "<sprint goal>"y lleva la etiqueta de procedencia de cada hecho a través del proceso. - 📥 Propón al Brain: después de producir, propón registrar el compromiso del sprint (objetivo + alcance comprometido) como un registro
decisions/, etiquetado con procedencia. Muéstralo, obtén un sí, luego escribe con../professional-brain/scripts/brain_write.py … --commit(solo anexar, seco por defecto).
Propone Acciones
Una vez que el sprint sea acordado, entrégalo a action-runner: vista previa (seco, evaluado por riesgo), ejecuta solo lo que apruebes a través del MCP de acción conectado, y registra lo que se hizo de vuelta al brain. Típico: crear un ticket por elemento de backlog comprometido y establecer el hito del sprint (🟡). Esta skill propone; action-runner vigila y ejecuta — nunca silenciosamente.
Lo Que Esta Skill Produce
- Objetivo de Sprint — oración única, enfocada en resultados, que todo el equipo pueda impulsar
- Backlog del Sprint — lista priorizada de historias de usuario con estimaciones de story points y criterios de aceptación
- Plan de Capacidad — desglose de disponibilidad del equipo considerando vacaciones, reuniones y tiempo de enfoque
- Agenda de Planificación de Sprint — agenda de reunión estructurada de 2 horas con tiempos
- Señales de Riesgo — bloqueadores o dependencias que podrían descarrilar el sprint
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 · 158 lines · 84 tokens per session scan A e555a9a01047
sprint-planning 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 2,250 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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