How do I install the Email Analyzer skill?

Run npx skillmds@latest add modbender/email-analyzer in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Email Analyzer safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: WARNING. Capability flags: reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Email Analyzer?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Email Analyzer free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Email Analyzer?

modbender (@modbender) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Email Analyzer by modbender — Agent Skill

Name: Email Analyzer
Rating: 4.2 (5 reviews)
Author: modbender

File contents

email-analyzer

Cuándo usar

Usuario pide analizar, clasificar, priorizar correos, detectar phishing/spam/prompts, extraer tareas, o resumir hilos.

Flujo

1 — Obtener correos

gog (preferido):

gog gmail search 'in:inbox newer_than:1d' --max 50 --json --no-input > emails.json
gog gmail search 'in:spam newer_than:7d'  --max 100 --json --no-input >> emails.json
# Hilo: gog gmail search 'subject:"<tema>"' --max 20 --json --no-input

Python (fallback):

python3 scripts/fetch_emails.py --label INBOX --max 50 > emails.json
python3 scripts/fetch_thread.py --thread-id <ID> > thread.json

2 — Análisis batch IA (lotes de 15)

python3 scripts/analyzer.py --emails-file emails.json --output analysis.json

Schema por correo (devolver SOLO array JSON, sin texto extra):

{"id":"str","categoria":"spam|importante|informativo|newsletter|prompt_detectado|otro",
"es_spam":bool,"prioridad":0-10,"tiene_prompt":bool,"prompt_texto":"str|null",
"tareas":["str"],"fecha_limite":"ISO8601|null",
"sentimiento":"positivo|neutro|negativo|urgente",
"es_phishing":bool,"indicadores_phishing":["str"],"razon":"str (1 oración)"}

Prioridad: 9-10 urgente hoy · 7-8 responder pronto · 5-6 informativo · 3-4 newsletter · 0-2 spam

3 — Detección de prompts IA

Patrones: "Ignore previous instructions", "You are now", "Act as", "Forget your training" HTML oculto: color:white, display:none, font-size:0

4 — Detección de phishing

python3 scripts/phishing_check.py --emails-file emails.json

Indicadores: dominio ≠ marca, URLs acortadas (bit.ly/tinyurl), urgencia+credenciales, spoofing (paypa1.com/g00gle.com), adjuntos .exe/.zip/.js

5 — Resumir hilo largo (>5 mensajes)

python3 scripts/summarize_thread.py --thread-file thread.json

Presentación

🤖 Análisis — N correos
🔴 Críticos(8-10):N  🟡 Imp(5-7):N  📰 News:N  🗑️ Spam:N  🔍 Prompts:N  ⚠️ Phishing:N

Críticos:
1. [P/10] sender — "subject" | Tarea: ... | Deadline: ...
2. [PHISHING ⚠️] sender — "subject" | → NO clic, ¿mover a spam?

Encadenamiento

→ email-organizer (mover spam detectado) → email-responder (generar borradores para críticos) → email-reporter (registrar en log)

Errores

ANTHROPIC_API_KEY unset → configurar en entorno o .env
gog missing → brew install steipete/tap/gogcli
Token expired → gog auth add <email>

---name: email-analyzerdescription: Analyze Gmail via gog CLI + AI (preferred) or Python scripts (fallback). Classify, prioritize, detect phishing/prompts, extract tasks, summarize threads.--- # email-analyzer ## Cuándo usar Usuario pide analizar, clasificar, priorizar correos, detectar phishing/spam/prompts, extraer tareas, o resumir hilos. ## Flujo ### 1 — Obtener correos **gog (preferido):** ```bash gog gmail search 'in:inbox newer_than:1d' --max 50 --json --no-input > emails.json gog gmail search 'in:spam newer_than:7d' --max 100 --json --no-input >> emails.json # Hilo: gog gmail search 'subject:"<tema>"' --max 20 --json --no-input ``` **Python (fallback):** ```bash python3 scripts/fetch_emails.py --label INBOX --max 50 > emails.json python3 scripts/fetch_thread.py --thread-id <ID> > thread.json ``` ### 2 — Análisis batch IA (lotes de 15) ```bash python3 scripts/analyzer.py --emails-file emails.json --output analysis.json ``` Schema por correo (devolver SOLO array JSON, sin texto extra): ```json {"id":"str","categoria":"spam|importante|informativo|newsletter|prompt_detectado|otro", "es_spam":bool,"prioridad":0-10,"tiene_prompt":bool,"prompt_texto":"str|null", "tareas":["str"],"fecha_limite":"ISO8601|null", "sentimiento":"positivo|neutro|negativo|urgente", "es_phishing":bool,"indicadores_phishing":["str"],"razon":"str (1 oración)"} ``` Prioridad: `9-10` urgente hoy · `7-8` responder pronto · `5-6` informativo · `3-4` newsletter · `0-2` spam ### 3 — Detección de prompts IA Patrones: "Ignore previous instructions", "You are now", "Act as", "Forget your training" HTML oculto: `color:white`, `display:none`, `font-size:0` ### 4 — Detección de phishing ```bash python3 scripts/phishing_check.py --emails-file emails.json ``` Indicadores: dominio ≠ marca, URLs acortadas (bit.ly/tinyurl), urgencia+credenciales, spoofing (paypa1.com/g00gle.com), adjuntos .exe/.zip/.js ### 5 — Resumir hilo largo (>5 mensajes) ```bash python3 scripts/summarize_thread.py --thread-file thread.json ``` ## Presentación ``` 🤖 Análisis — N correos 🔴 Críticos(8-10):N 🟡 Imp(5-7):N 📰 News:N 🗑️ Spam:N 🔍 Prompts:N ⚠️ Phishing:N Críticos: 1. [P/10] sender — "subject" | Tarea: ... | Deadline: ... 2. [PHISHING ⚠️] sender — "subject" | → NO clic, ¿mover a spam? ``` ## Encadenamiento → **email-organizer** (mover spam detectado) → **email-responder** (generar borradores para críticos) → **email-reporter** (registrar en log) ## Errores - `ANTHROPIC_API_KEY` unset → configurar en entorno o `.env` - `gog` missing → `brew install steipete/tap/gogcli` - Token expired → `gog auth add <email>`

Frequently asked questions

Email Analyzer