Claw Me Maybe (Beeper integration)

Trust Score 82/100

Integrate Beeper Desktop with Clawdbot to search chats, send messages, manage attachments, reactions, reminders, and mark conversations as read across multiple

triggers:beepersend messagesearch chatsunread summarymark as readreact to messagedownload attachment

GitHub SKILL.md

What it does

This skill connects Clawdbot to the Beeper Desktop API, enabling unified multi-platform messaging. Once configured it can search messages across services, send messages to WhatsApp/Telegram/Signal/Slack/Discord/Instagram/iMessage/LinkedIn/Facebook/X/Google Messages, download attachments, react to messages, set reminders, and mark chats as read — all through a single local API.

When to use it

Use this skill when you need an agent to access or automate personal or team conversations spread across multiple chat platforms. Typical scenarios: summarise unread messages across accounts, search chat history for specific topics, send a quick message through the appropriate network, or programmatically react/mark-as-read as part of workflows or reminders. Requires Beeper Desktop with the Desktop API enabled.

What's included

Scripts: none bundled in the skill repo (has_scripts=false)
References: none bundled (has_references=false)
Instructions: setup steps and API examples are provided in the SKILL.md: enable the Beeper Desktop API, optionally create an access token, configure the clawdbot JSON entry, and use provided curl examples for accounts, chats, messages, reactions, attachments, and reminders.

Compatible agents

Best suited to desktop-capable agents and any runtime that can call local HTTP APIs and run curl/python commands (Claude Desktop/Cursor-like environments, OpenClaw/Clawdbot integrations).

Audit Summary

Documentation-only skill that integrates Beeper Desktop API for unified multi-platform messaging (WhatsApp, Telegram, Signal, Discord, Slack, etc.). Provides comprehensive curl-based API examples for sending messages, searching chats, managing reactions, reminders, and attachments. No bundled scripts — the agent must interpret natural language requests and map them to the documented API endpoints. Well-structured with troubleshooting section and practical pro tips.

Watch Out

Requires Beeper Desktop running locally with the Desktop API enabled
Shell variable interpolation in curl URLs (e.g., ${chatID}) could pose injection risk if chat IDs contain special characters
No explicit guidance for agents on how to map natural language to specific API calls — relies on agent interpretation
iMessage only works on macOS

Notes

Clean skill with no security concerns beyond minor shell interpolation risks in example curl commands. Documentation quality is high — good example responses, troubleshooting, and pro tips. Architecture is straightforward but monolithic; could benefit from splitting the long SKILL.md into references/ for better progressive disclosure. No scripts to test.

Information

Repository: awesome-openclaw-skills
Stars: 624

Trust Score

Overall82

Security88

Code Quality78

Architecture72

Usefulness82

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