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 furkangonel/cowrangler --skill imessagegit clone --depth 1 https://github.com/furkangonel/cowranglerWrote 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/furkangonel/cowrangler/imessage)<a href="https://agentmods.dev/skills/furkangonel/cowrangler/imessage"><img src="https://agentmods.dev/badge/skills/furkangonel/cowrangler/imessage/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/furkangonel/cowrangler/imessage"><img src="https://agentmods.dev/badge/skills/furkangonel/cowrangler/imessage.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 | $0.00019 | $0.00733 |
| Opus 5.5 | $0.00008 | $0.00293 |
| Sonnet 5.5 | $0.00004 | $0.00147 |
| Haiku 4.5 | $0.00002 | $0.00073 |
Grade A, and why
imessage 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iMessage
imsg CLI aracıyla macOS Messages.app üzerinden iMessage/SMS oku ve gönder.
Ön Koşullar
- macOS ve oturum açılmış Messages.app
- Kur:
brew install steipete/tap/imsg - Tam Disk Erişimi ver: Sistem Ayarları → Gizlilik → Tam Disk Erişimi
- İstendiğinde Messages.app için Automation izni ver
Ne Zaman Kullan
- Kullanıcı iMessage veya SMS göndermek istediğinde
- iMessage konuşma geçmişini okumak için
- Son Messages.app sohbetlerini kontrol etmek için
Ne Zaman Kullanma
- Telegram/Discord/Slack/WhatsApp → ilgili gateway kanalını kullan
- Grup sohbeti yönetimi (üye ekleme/çıkarma) → desteklenmiyor
- Toplu/kitlesel mesajlaşma → kullanıcıyı her zaman önce onayla
Hızlı Referans
Sohbetleri Listele
imsg chats --limit 10 --json
Geçmişi Görüntüle
imsg history --chat-id 1 --limit 20 --json
imsg history --chat-id 1 --limit 20 --attachments --json
Mesaj Gönder
# Yalnızca metin
imsg send --to "+905551234567" --text "Merhaba!"
# Ek ile
imsg send --to "+905551234567" --text "Bak bunu" --file /path/to/image.jpg
# iMessage veya SMS zorla
imsg send --to "+905551234567" --text "Merhaba" --service imessage
imsg send --to "+905551234567" --text "Merhaba" --service sms
Yeni Mesajları İzle
imsg watch --chat-id 1 --attachments
Servis Seçenekleri
--service imessage→ iMessage zorla (alıcının iMessage'ı olması gerekir)--service sms→ SMS zorla (yeşil balon)--service auto→ Messages.app karar versin (varsayılan)
Kurallar
- Göndermeden önce alıcıyı ve mesaj içeriğini her zaman onayla
- Bilinmeyen numaralara kullanıcı açık onayı olmadan gönderme
- Eklemeden önce dosya yollarının var olduğunu doğrula
- Spam gönderme — hız sınırı uygula
Örnek İş Akışı
Kullanıcı: "Anneme geç kalacağımı mesaj at"
# 1. Annenin sohbetini bul
imsg chats --limit 20 --json | grep -i "anne\|anne"
# 2. Kullanıcıyla onayla: "+905551234567 - Anne bulundu. 'Geç kalacağım' göndereceğim, onaylıyor musunuz?"
# 3. Onaydan sonra gönder
imsg send --to "+905551234567" --text "Geç kalacağım"
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.
- 1mo ago First seen · 92 lines · 19 tokens per session scan A 6e2426c70fd9
imessage is a skill published in the GitHub repository furkangonel/cowrangler (1 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 733 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
imsg
Use imsg to read and send iMessage/SMS via macOS Messages.app.
c-messaging
Send and read messages via imsg (iMessage) and wacli (WhatsApp). Supports sending to individuals or groups, reading recent conversations, and checking unread messages across both platforms.
webview
Show a native macOS webview UI to the user and get structured input back. Use when an interactive macOS session needs human-in-the-loop for multi-field input, option selection from 5+ choices, approval with context, or content review — NOT for yes/no questions. Handles the full flow — spawning the webview, generating…
clinicaltrials-database
Query ClinicalTrials.gov via API v2. Search trials by condition, drug, location, status, or phase. Retrieve trial details by NCT ID, export data, for clinical research and patient matching.
glycoengineering
Analyze and engineer protein glycosylation. Scan sequences for N-glycosylation sequons (N-X-S/T), predict O-glycosylation hotspots, and access curated glycoengineering tools (NetOGlyc, GlycoShield, GlycoWorkbench). For glycoprotein engineering, therapeutic antibody optimization, and vaccine design.
session-investigator
Investigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing conversation flow and timing. Covers session.json metadata, history JSON format, message structure, tool…