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.
npx skills add hewi333/Mom-n-Pop-Skills --skill grasshopper-voicemail-monitorgit clone --depth 1 https://github.com/hewi333/Mom-n-Pop-SkillsWrote 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.
[](https://agentmods.dev/skills/hewi333/mom-n-pop-skills/grasshopper-voicemail-monitor)<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.
<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>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.
| Model | Per session | Once 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 |
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 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.
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.
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.
- today First seen · 215 lines · 74 tokens per session scan B 0894654b8ebc
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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