grasshopper-voicemail-monitor

grasshopper-voicemail-monitor is a skill for Claude Code, Codex from hewi333/Mom-n-Pop-Skills. It costs 74 tokens per session (2,315 once invoked), scanned B, original, MIT.

A scheduled email monitor that reads auto-transcribed voicemail notifications from an inbox, extracts caller details and the transcript, records the contact in a CRM, and sends a summary to Telegram. IMAP is the standard protocol it uses to read mail from an inbox.

In plain words
What is it for?
Use it to watch voicemail notification emails, identify new or returning callers, create or update CRM records, and notify the appropriate person with a formatted message.
Why use it?
It avoids building separate audio transcription or dashboard polling when the phone provider already puts the transcript in an email. It turns voicemail into a tracked lead or customer activity without requiring someone to copy the details manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to watch voicemail notification emails, identify new or returning callers, create or update CRM records, and notify the appropriate person with a formatted message.

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Install with agentmods
npx agentmods add skills/hewi333/mom-n-pop-skills/grasshopper-voicemail-monitor
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 hewi333/Mom-n-Pop-Skills --skill grasshopper-voicemail-monitor
Clone the repo
git clone --depth 1 https://github.com/hewi333/Mom-n-Pop-Skills

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 grasshopper-voicemail-monitor

README.md
[![agentmods](https://agentmods.dev/badge/skills/hewi333/mom-n-pop-skills/grasshopper-voicemail-monitor/github.svg)](https://agentmods.dev/skills/hewi333/mom-n-pop-skills/grasshopper-voicemail-monitor)
Your own site
<a href="https://agentmods.dev/skills/hewi333/mom-n-pop-skills/grasshopper-voicemail-monitor"><img src="https://agentmods.dev/badge/skills/hewi333/mom-n-pop-skills/grasshopper-voicemail-monitor/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 grasshopper-voicemail-monitor

Your own site · 80×15
<a href="https://agentmods.dev/skills/hewi333/mom-n-pop-skills/grasshopper-voicemail-monitor"><img src="https://agentmods.dev/badge/skills/hewi333/mom-n-pop-skills/grasshopper-voicemail-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,315 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00074 $0.02315
Opus 5 $0.00037 $0.01157
Sonnet 5 $0.00015 $0.00463
Haiku 4.5 $0.00007 $0.00231

Measured today against content hash 0894654b8ebc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

grasshopper-voicemail-monitor scanned grade B with 1 finding 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 today.

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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo systemctl stop hermes-gateway.service # stops the service + prevents restart
skills/grasshopper-voicemail-monitor/SKILL.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Voicemail & Notification-Email Monitor

Overview

Many virtual phone products auto-transcribe voicemails and email the transcript to one or more inboxes (Grasshopper — GoDaddy's virtual phone — does this; Google Voice, OpenPhone and similar services have equivalents). That email is all you need for a fully automated lead-intake pipeline — no audio processing, no transcription API, no polling the provider's dashboard.

This skill describes a monitor that polls those inboxes every 3 minutes via IMAP, extracts the transcript and caller info, logs the voicemail to the CRM database, and delivers a formatted summary to the right person's Telegram.

Key insight: the provider already gives you speech-to-text in the email body. Don't build transcription — parse the notification.

Architecture

Voicemail left → provider auto-transcribes → notification email → IMAP inbox
  ↓ (cron script polls every 3 min, no_agent=True)
Python monitor script: ~/.hermes/scripts/voicemail_monitor.py
  ├─ IMAP search for unread mail FROM the provider
  ├─ Parse: caller #, transcript, extension, timestamp, callback numbers
  ├─ CRM: create lead (new caller) or log activity (returning caller)
  └─ Format clean Telegram message (tappable phone links)
  ↓ (empty stdout = silent = zero tokens when no new voicemails)
Deliver to the right person (extension routing → their Telegram chat)

Components

Monitor script

~/.hermes/scripts/voicemail_monitor.py — takes one argument identifying which inbox to poll (e.g. owner-a / owner-b, one per extension recipient).

Wrapper scripts (required): the Hermes cron script field treats the entire string as a filename — including spaces and arguments. A script that needs an argument cannot be called directly from a cron job. Create one wrapper per variant:

#!/bin/bash
# ~/.hermes/scripts/voicemail_owner_a.sh
exec python3 "$(dirname "$0")/voicemail_monitor.py" owner-a

See references/cron-script-arguments.md for the full pattern.

Read the full file on GitHub · 215 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. today First seen · 215 lines · 74 tokens per session scan B 0894654b8ebc

Subscribe to this mod's changes

grasshopper-voicemail-monitor is a skill published in the GitHub repository hewi333/Mom-n-Pop-Skills (120 stars, last pushed yesterday), licensed MIT. It adds 74 tokens to every session and 2,315 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-12.

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