preparar-el-ciclo-de-evaluacion

preparar-el-ciclo-de-evaluacion is a skill for Claude Code, Codex from gethouston/houston. It costs 64 tokens per session (1,811 once invoked), scanned A, original, MIT.

A preparation package for a performance-review cycle, with self-review and manager templates, a calibration document, and a schedule based on the company’s review rhythm and levels. Calibration is the process of comparing evaluations so ratings are applied consistently.

In plain words
What is it for?
Setting up the next round of employee evaluations and sharing the required documents and timetable with managers and employees.
Why use it?
It removes the need to assemble review materials from scratch and helps the cycle reflect the company’s own process instead of a generic one.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Setting up the next round of employee evaluations and sharing the required documents and timetable with managers and employees.

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Install with agentmods
npx agentmods add skills/gethouston/houston/preparar-el-ciclo-de-evaluacion
Install

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.

Any agent
npx skills add gethouston/houston --skill preparar-el-ciclo-de-evaluacion
Clone the repo
git clone --depth 1 https://github.com/gethouston/houston

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for preparar-el-ciclo-de-evaluacion

README.md
[![agentmods](https://agentmods.dev/badge/skills/gethouston/houston/preparar-el-ciclo-de-evaluacion/github.svg)](https://agentmods.dev/skills/gethouston/houston/preparar-el-ciclo-de-evaluacion)
Your own site
<a href="https://agentmods.dev/skills/gethouston/houston/preparar-el-ciclo-de-evaluacion"><img src="https://agentmods.dev/badge/skills/gethouston/houston/preparar-el-ciclo-de-evaluacion/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.

agentmods 80×15 button for preparar-el-ciclo-de-evaluacion

Your own site · 80×15
<a href="https://agentmods.dev/skills/gethouston/houston/preparar-el-ciclo-de-evaluacion"><img src="https://agentmods.dev/badge/skills/gethouston/houston/preparar-el-ciclo-de-evaluacion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,811 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00064 $0.01811
Opus 5 $0.00032 $0.00905
Sonnet 5 $0.00013 $0.00362
Haiku 4.5 $0.00006 $0.00181

Measured 9d ago against content hash a402b1e5ecd4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

preparar-el-ciclo-de-evaluacion 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 9d 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.

store/agents-i18n/es/people/.agents/skills/preparar-el-ciclo-de-evaluacion/SKILL.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preparar el ciclo de evaluación

Cuándo usarla

  • Explícito: "prepara el ciclo de evaluación", "empiezan las evaluaciones de Q{N}", "arma las plantillas de evaluación", "configura el próximo ciclo de evaluación".
  • Implícito: se activa desde weekly-people-review cuando la fecha del próximo ciclo en context/people-context.md cae dentro de la ventana de anticipación.
  • Frecuencia: una vez por ciclo. ¿El founder quiere un refresh a mitad de ciclo? Vuelvo a correrla y reemplazo la anterior.

Conexiones que necesito

Ejecuto el trabajo externo a través de Composio. Antes de correr esta habilidad reviso que las categorías de abajo estén conectadas. Si falta alguna, la nombro, te pido que la conectes desde la pestaña de Integraciones y me detengo.

  • Documentos (Google Docs, Notion): para compartir las plantillas con managers y colaboradores individuales. Opcional.
  • Plataforma de RR.HH. (Gusto, Deel, Rippling, Justworks): para traer el roster actual para la calibración. Opcional.

Esta habilidad redacta los documentos de forma local, así que las conexiones faltantes no me detienen, simplemente no podré enviar las plantillas automáticamente.

Información que necesito

Primero leo tu contexto de personal. Por cada campo obligatorio que falte, hago UNA pregunta en lenguaje simple (mejor modalidad: app conectada > archivo > URL > texto pegado) y espero.

  • Ritmo del ciclo de evaluaciones: Obligatorio. Por qué lo necesito: define el cronograma y el nombre del ciclo. Si falta, pregunto: "¿Las evaluaciones son anuales, semestrales o trimestrales, y cuándo empieza y termina el próximo ciclo?"
  • Marco de niveles: Obligatorio. Por qué lo necesito: los prompts y las rúbricas se mapean a los atributos de cada nivel. Si falta, pregunto: "¿Cómo describirías cada nivel? ¿Cómo se ven el alcance, la autonomía y el impacto de L1 a L5?"
  • Escala de calificación: Opcional. Por qué lo necesito: la plantilla para managers usa tu escala en lugar de una genérica. Si no la tienes, sigo con una escala de cuatro bandas por defecto y marco TBD donde iría tu escala.
  • Bandas salariales: Opcional. Por qué lo necesito: le permite al documento de calibración marcar cambios de compensación que cruzan los límites de banda. Si no la tienes, sigo con TBD en la revisión de sanidad de compensación.
  • Roster: Obligatorio. Por qué lo necesito: el documento de calibración lista quién evalúa a quién. Si falta, pregunto: "Conecta tu plataforma de RR.HH. para que pueda traer el equipo, o pega el roster actual."

Read the full file on GitHub · 124 lines

Changes

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.

  1. 9d ago First seen · 124 lines · 64 tokens per session scan A a402b1e5ecd4

Subscribe to this mod's changes

preparar-el-ciclo-de-evaluacion is a skill published in the GitHub repository gethouston/houston (113 stars, last pushed today), licensed MIT. It adds 64 tokens to every session and 1,811 once invoked, about $0.0003 per session on Opus 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 2026-09-03.