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 okr-buildergit 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/okr-builder)<a href="https://agentmods.dev/skills/mohitagw15856/pm-claude-skills/okr-builder"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/okr-builder/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/okr-builder"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/okr-builder.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 | $0.00077 | $0.02325 |
| Opus 5.5 | $0.00031 | $0.00930 |
| Sonnet 5.5 | $0.00015 | $0.00465 |
| Haiku 4.5 | $0.00008 | $0.00232 |
Grade A, and why
okr-builder 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Habilidad OKR Builder
Escribe OKRs ambiciosos y medibles que conecten el trabajo de producto con la estrategia empresarial. Evita métricas de vanidad, resultados clave enfocados en outputs y objetivos que suenen como listas de tareas.
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:
context.md(definiciones de métricas),knowledge/strategy.md(hacia dónde va el producto) e hipótesis abiertas enhypotheses/. Ejecutapython3 ../professional-brain/scripts/brain_query.py ./brain "<tema del objetivo>"y lleva la etiqueta de procedencia de cada hecho — no establezcas un resultado clave a partir de un[hunch]como si fuese[data]. - 📥 Propón al Brain: después de producir, propón registrar los objetivos elegidos + targets de KR como un registro en
decisions/(la apuesta del período) y cualquier definición de métrica nueva enknowledge/, cada una etiquetada con procedencia. Muéstralas, obtén un sí, luego escribe con../professional-brain/scripts/brain_write.py … --commit(append-only, dry-run por defecto).
Trabajar desde un brief
A menudo recibirás un brief corto sin todos los detalles (sin líneas base, sin números exactos). Siempre entrega un conjunto completo y específico de OKRs de todas formas — no pares para hacer preguntas ni dejes placeholders entre corchetes como [target]. Donde falte una línea base o un número, infiere un valor realista basado en el brief y el dominio, y márcalo (asumido — confirma). Una línea base claramente etiquetada como asumida (p. ej. "activación 40% (asumido) → 60%") siempre es mejor que un espacio en blanco o una cifra inventada como hecho.
Materiales Más Profundos
references/bad-okr-gallery.md— seis OKRs malos realistas con diagnóstico y reescritura (roadmap disfrazado, objetivo infalsable, sandbagging, KR incontrolable, zoológico de métricas, falta de guardrail), terminando en un diagnóstico de 5 preguntas. Úsalo cuando revises OKRs existentes — compara contra la galería antes de escribir feedback.templates/okr-worksheet.md— una hoja de trabajo rellenable cuyas columnas refuerzan las puertas de calidad (fuente de línea base, prueba de drift, prueba de control, guardrail) más una rúbrica de puntuación trimestral precomprometida. Ofrécela cuando un equipo quiera redactar OKRs por sí mismo.
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 · 129 lines · 77 tokens per session scan A 7c48eac96d76
okr-builder is a skill published in the GitHub repository mohitagw15856/pm-claude-skills (1,449 stars, last pushed today), licensed MIT. It adds 77 tokens to every session and 2,325 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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