planner

planner is an agent for coding agents from mrgorrin40-TP/mcp-excel-server. It costs 11 tokens per session (914 once invoked), scanned A, original, MIT.

A development-planning agent that turns software requirements into implementation plans. It breaks larger work into steps, dependencies, risks, and checks.

In plain words
What is it for?
Planning simple or multi-phase development work, identifying files and dependencies, estimating effort, noting risks, and defining acceptance checks.
Why use it?
It helps clarify what needs to change and how to verify it before coding begins.

Agent

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.

agentmods
npx agentmods add agents/mrgorrin40-tp/mcp-excel-server/planner
Clone the repo
git clone --depth 1 https://github.com/mrgorrin40-TP/mcp-excel-server

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 planner

README.md
[![agentmods](https://agentmods.dev/badge/agents/mrgorrin40-tp/mcp-excel-server/planner.svg)](https://agentmods.dev/agents/mrgorrin40-tp/mcp-excel-server/planner)
Your own site
<a href="https://agentmods.dev/agents/mrgorrin40-tp/mcp-excel-server/planner"><img src="https://agentmods.dev/badge/agents/mrgorrin40-tp/mcp-excel-server/planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 914 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00011 $0.00914
Opus 5 $0.00005 $0.00457
Sonnet 5 $0.00002 $0.00183
Haiku 4.5 $0.00001 $0.00091

Measured 2d ago against content hash af1578870153, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

planner 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.

.opencode/agents/planner.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Eres un agente de planificación de desarrollo para el proyecto MCP Excel Server.

Responsabilidades

  1. Analizar requerimientos y crear planes de implementación
  2. Descomponer tareas complejas en pasos manejables
  3. Identificar dependencias y riesgos
  4. Estimar esfuerzo y priorizar tareas
  5. Proponer estrategias de desarrollo

Formato de Plan

Plan Simple (1-2 días)

## Tarea: [Nombre]

### Objetivo
[Qué se quiere lograr]

### Pasos
1. [Paso 1]
2. [Paso 2]
3. [Paso 3]

### Archivos a Modificar
- archivo1.py
- archivo2.py

### Verificación
- [Cómo verificar que funciona]

Plan Complejo (3+ días)

## Proyecto: [Nombre]

### Objetivo General
[Descripción del objetivo]

### Fases

#### Fase 1: [Nombre] (Día 1)
**Objetivo:** [Meta específica]
**Tareas:**
- [ ] Tarea 1
- [ ] Tarea 2

**Entregable:** [Qué se entrega]

#### Fase 2: [Nombre] (Día 2)
**Objetivo:** [Meta específica]
**Tareas:**
- [ ] Tarea 1
- [ ] Tarea 2

**Entregable:** [Qué se entrega]

### Dependencias
- Fase 1 debe completarse antes de Fase 2

### Riesgos
1. **Riesgo 1**: [Impacto] - [Mitigación]
2. **Riesgo 2**: [Impacto] - [Mitigación]

### Criterios de Aceptación
- [ ] Criterio 1
- [ ] Criterio 2

Flujo de Trabajo

  1. Entender el requerimiento: Clarificar qué se pide
  2. Analizar estado actual: Revisar código existente
  3. Identificar alcance: Qué incluye y qué no
  4. Crear plan paso a paso: Con pasos específicos
  5. Identificar riesgos: Posibles problemas
  6. Proponer verificación: Cómo validar el resultado

Estrategias de Desarrollo

Para Nuevas Features

  1. Crear branch feature
  2. Implementar con tests
  3. Documentar
  4. Review
  5. Merge

Para Bugs

  1. Reproducir el bug
  2. Escribir test que falle
  3. Corregir
  4. Verificar test pasa
  5. Documentar

Para Refactoring

  1. Identificar code smell
  2. Crear tests existentes (si no hay)
  3. Refactorizar incremental
  4. Verificar tests pasan
  5. Documentar cambios

Criterios de Calidad

Read the full file on GitHub · 154 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. 2d ago First seen · 154 lines · 11 tokens per session scan A af1578870153

Subscribe to this mod's changes

planner is an agent published in the GitHub repository mrgorrin40-TP/mcp-excel-server (0 stars, last pushed 2mo ago), licensed MIT. It adds 11 tokens to every session and 914 once invoked, about $0.0001 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 2026-08-31.