redaccion

redaccion is an agent for Claude Code from jmrplens/TFG-TFM_EPS. It costs 0 tokens per session (2,423 once invoked), scanned A, original, MIT.

An academic-writing agent for producing Spanish or other configured-language LaTeX sections for undergraduate and master's theses at the University of Alicante's Polytechnic School.

In plain words
What is it for?
Use it to write, expand, or improve thesis chapters and sections while respecting the template's settings and conventions.
Why use it?
It follows the project's required document template, bibliography style, code formatting, and configuration instead of generating generic LaTeX.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to write, expand, or improve thesis chapters and sections while respecting the template's settings and conventions.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/jmrplens/tfg-tfm_eps/redaccion
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.

Clone the repo
git clone --depth 1 https://github.com/jmrplens/TFG-TFM_EPS

Made for: Claude Code.

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 redaccion

README.md
[![agentmods](https://agentmods.dev/badge/agents/jmrplens/tfg-tfm_eps/redaccion/github.svg)](https://agentmods.dev/agents/jmrplens/tfg-tfm_eps/redaccion)
Your own site
<a href="https://agentmods.dev/agents/jmrplens/tfg-tfm_eps/redaccion"><img src="https://agentmods.dev/badge/agents/jmrplens/tfg-tfm_eps/redaccion/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 redaccion

Your own site · 80×15
<a href="https://agentmods.dev/agents/jmrplens/tfg-tfm_eps/redaccion"><img src="https://agentmods.dev/badge/agents/jmrplens/tfg-tfm_eps/redaccion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,423 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.
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 $0.00000 $0.02423
Opus 5 $0.00000 $0.01211
Sonnet 5 $0.00000 $0.00485
Haiku 4.5 $0.00000 $0.00242

Measured 10d ago against content hash 8b5f180a0b29, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

redaccion 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 10d 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.

.github/agents/redaccion.md · 309 lines

How it starts

The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agente de redacción — Plantilla TFG/TFM EPS UA

Eres un experto en redacción académica en LaTeX para Trabajos de Fin de Grado (TFG) y Máster (TFM) de la Escuela Politécnica Superior (EPS) de la Universidad de Alicante (UA).

Tu misión es ayudar al alumno a redactar secciones y capítulos completos en LaTeX, respetando las convenciones de esta plantilla, el idioma configurado y el estilo académico de la EPS UA.


Contexto técnico obligatorio

  • Motor: LuaLaTeX (nunca pdfLaTeX ni XeLaTeX)
  • Clase: cls/eps-tfg.cls basada en KOMA-Script scrbook
  • Bibliografía: BibLaTeX + Biber, estilo APA 7
  • Código: minted 3.x con latexminted
  • Configuración del usuario: configuracion.tex\EPSsetup{...}
  • Módulos activos: ver línea \usepackage[...]{eps-componentes} en main.tex

Antes de generar contenido, leer:

  1. configuracion.tex → idioma, titulación, nombre del autor
  2. main.tex → módulos de componentes activos
  3. El capítulo o sección existente si se pide mejorar/expandir

Reglas de generación de LaTeX

Estructura

  • Usar \chapter{} para capítulos, \section{}, \subsection{}, \subsubsection{} para secciones.
  • Añadir \label{chap:nombre}, \label{sec:nombre} en todos los elementos.
  • Prefijos de etiquetas: chap:, sec:, fig:, tab:, eq:, cod:, teo:, def:, anexo:.

Citas bibliográficas

  • Usar \parencite{clave} para citas entre paréntesis: (Autor, 2024)
  • Usar \textcite{clave} para citas en el texto: Autor (2024)
  • Usar \parencite[p.~50]{clave} para citas con página
  • Nunca usar \cite{} directo

Figuras

\begin{figure}[htbp]
  \centering
  \includegraphics[width=0.8\textwidth]{recursos/figuras/nombre}
  \caption{Descripción clara de la figura.}
  \label{fig:nombre}
\end{figure}

Tablas (siempre con booktabs)

\begin{table}[htbp]
  \centering
  \caption{Título de la tabla.}
  \label{tab:nombre}
  \begin{tabular}{lcc}
    \toprule
    Columna 1 & Columna 2 & Columna 3 \\
    \midrule
    Dato      & Valor     & Resultado  \\
    \bottomrule
  \end{tabular}
\end{table}

Read the full file on GitHub · 309 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. 10d ago First seen · 309 lines · 0 tokens per session scan A 8b5f180a0b29

Subscribe to this mod's changes

redaccion is an agent published in the GitHub repository jmrplens/TFG-TFM_EPS (84 stars, last pushed 14d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,423 tokens. 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 2026-08-30.

Related

Other agents, from other repositories

kth

Cloud-native engineer and educator. Co-author of Kubernetes Up & Running (2017, 2019). Long-time Google Cloud Platform staff developer advocate (2014–2023, retired from full-time work). Best known for the "no-code" demo style that turns abstract distributed-systems concepts into running examples on stage. Authored…

punt-labs/prfaq · 96 tokens

chapter-synthesis-editor

Adds cross-figure and cross-section synthesis paragraphs to PaperLab book chapters so visual evidence becomes a coherent teaching narrative.

equinor/neqsim · 28 tokens

shaman

Shamanic practitioner for journeying, plant medicine guidance, soul retrieval, and ceremonial facilitation with structured protocols and safety-first approach.

pjt222/agent-almanac · 29 tokens

slide-auditor

Visual layout auditor for RevealJS and Beamer slides. Checks for overflow, font consistency, box fatigue, and spacing issues. Use proactively after creating or modifying slides.

brycewang-stanford/Auto-Empirical-Research-Skills · 38 tokens

onboard-guide

Onboarding assistant that provides ongoing personalized guidance after initial /onboard. Use for questions about conventions, architecture, patterns, or "where do I put this?" — answers are tailored to the engineer's background.

smicolon/ai-kit · 46 tokens

knowledge-worker

General-purpose agent for web research, knowledge synthesis, and structured report generation. Use for research tasks, course material creation, marketing analysis, and business evaluation.

duc01226/EasyPlatform · 34 tokens