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engibarian

Notification System

by engibarian · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
217
Downloads
0
Stars
1
Active Installs
2
Versions
Install in OpenClaw
/install notification-system
Description
Manage outbound notifications across WhatsApp, Telegram, email. Handle templates, scheduling, delivery tracking, rate limiting.
Usage Guidance
This skill reads like documentation and templates for a notification system rather than a ready-to-run integration. Before installing or using it: 1) Do not run any referenced scripts (node notification-system/process-queue.js, quick-notify.ps1, process-queue.ps1, get-stats.ps1) unless you have reviewed their code — those files are referenced but not included. 2) Expect to supply channel credentials (WhatsApp API/broker, Telegram bot token, Office365/API credentials) — the skill does not declare or request them, so plan secure storage (secrets manager) and never paste keys into untrusted prompts. 3) Verify where sending will actually occur: SKILL.md relies on a 'message' CLI and an 'outlook' skill that are external; confirm those tools exist and are trustworthy. 4) Check missing artifacts the docs reference (process-queue.js, PowerShell scripts, queue/scheduled.json, logs/ delivery files, and a config/ folder) — their absence means the skill is incomplete and an agent might attempt to locate or call other system components. 5) If you need this functionality, obtain a version that includes the connector code or a clear, minimal integration guide for securely configuring connectors and credentials. If you cannot verify these points, treat the package as incomplete and avoid enabling it for autonomous use.
Capability Analysis
Type: OpenClaw Skill Name: notification-system Version: 1.0.1 The notification-system bundle is a well-structured framework for managing outbound communications across WhatsApp, Telegram, and Email. It includes comprehensive message templates, rate-limiting configurations (rate-limiters.json), and a queue management system (queue/pending.json). The instructions in SKILL.md and README.md are consistent with the stated purpose and do not contain any evidence of malicious intent, unauthorized data access, or prompt injection attacks.
Capability Tags
cryptocan-make-purchases
Capability Assessment
Purpose & Capability
The description claims full outbound delivery across WhatsApp, Telegram, and Outlook email, with scheduling, tracking, and rate limiting, but the bundle contains only templates, a pending.json queue, and docs. There are no connector implementations, no code to talk to WhatsApp/Telegram/Office365, and no declared credentials; the SKILL expects external tools (a 'message' CLI and an 'outlook' skill) and scripts that are not provided. The required capabilities (API keys, bot tokens, SMTP/O365 access) are missing from the package and not declared.
Instruction Scope
SKILL.md instructs the agent to run commands and scripts (e.g., message send, outlook send, node notification-system/process-queue.js, and PowerShell helpers) and to read/store queue and log files, but the referenced runtime artifacts are absent. The instructions stay within the notification-system directory, which is appropriate, but they rely on unspecified external tools/skills and on files that the package does not contain (see missing files below). This creates scope ambiguity: the agent may try to locate or invoke arbitrary system tools or other skills to fulfill these steps.
Install Mechanism
No install spec and no shipped executable code reduces installation risk — nothing will be automatically downloaded or executed by an installer. This is an instruction-only skill (low write-to-disk risk).
Credentials
The skill declares no required environment variables or credentials, yet to perform its stated function it would need WhatsApp/Telegram bot tokens and Office365 credentials (or other provider keys). The absence of declared primaryEnv or required env vars is disproportionate to the advertised functionality and is an incoherence that should be resolved before use.
Persistence & Privilege
always is false and there is no indication the skill requests persistent elevated privileges or modifies other skills or system settings. It only references local files under notification-system, which is reasonable.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install notification-system
  3. After installation, invoke the skill by name or use /notification-system
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Updated the pending notifications queue (queue/pending.json) - No changes to documentation or logic; underlying notification system and usage remain the same
v1.0.0
notification-system 1.0.0 - Initial release for centralized outbound notification management. - Supports sending, scheduling, and tracking notifications across WhatsApp, Telegram, and Email channels. - Includes built-in template management, message queueing, delivery logging, and rate limiting per channel. - Features scheduling, priority handling, and opt-out support. - Provides best practices for batching, fallback, deduplication, and personalization.
Metadata
Slug notification-system
Version 1.0.1
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 2
Frequently Asked Questions

What is Notification System?

Manage outbound notifications across WhatsApp, Telegram, email. Handle templates, scheduling, delivery tracking, rate limiting. It is an AI Agent Skill for Claude Code / OpenClaw, with 217 downloads so far.

How do I install Notification System?

Run "/install notification-system" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Notification System free?

Yes, Notification System is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Notification System support?

Notification System is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Notification System?

It is built and maintained by engibarian (@engibarian); the current version is v1.0.1.

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