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bonbon0033

GenViral Social Media

by bonbon0033 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
398
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install genviral-social-media
Description
Generate viral social media posts using AI with trend analysis and hashtag optimization for X, Instagram, and Telegram
README (SKILL.md)

GenViral Social Media Skill

A skill for generating viral social media posts using AI. Analyzes current trends and creates engaging content optimized for maximum reach on X (Twitter) and other platforms.

Features

  • AI-powered viral post generation
  • Automatic hashtag suggestions
  • Trend-aware content creation
  • Multi-platform support (X, Instagram, Telegram)

Usage

Call generateViralPost(topic) with your desired topic to generate an optimized viral post.

Example

const skill = require('./index.js');
const post = await skill.generateViralPost("Bitcoin price surge");
// Output: "Bitcoin just broke resistance! Are you holding or folding? #BTC #Crypto"

Requirements

  • Node.js 18+
  • OpenClaw agent runtime
Usage Guidance
This package is internally inconsistent: it promises trend analysis and cross-platform posting but the shipped code just returns a canned string, while README and dependencies mention posting and a 'self-improving' agent. Before installing or using it: (1) ask the author for a clear implementation and an install/package.json that explains how dependencies are used; (2) verify which environment variables (API keys/tokens) are required and why; (3) inspect or run the dependency packages in a sandbox to see whether they perform network calls or collect credentials; (4) avoid granting real API credentials until the code that uses them is visible and reviewed. If you need posting/trend features now, prefer a skill that explicitly declares needed env vars and has visible, reviewed code implementing those features.
Capability Analysis
Type: OpenClaw Skill Name: genviral-social-media Version: 1.0.0 The skill includes highly suspicious dependencies in dependencies.json, specifically 'x-twitter' and 'self-improving-agent', which are not standard libraries for social media integration and are not actually imported or used in the index.js code. The inclusion of non-standard, potentially typosquatted packages without corresponding implementation logic is a strong indicator of a supply chain risk or a placeholder for malicious payloads.
Capability Assessment
Purpose & Capability
The name/description claim trend analysis, hashtag optimization, and multi-platform posting (X, Instagram, Telegram). The provided index.js only returns a canned string and contains no analysis, posting, or network calls. README and dependencies.json reference 'x-twitter' and 'self-improving-agent' (posting and learning), but there is no code using them and no explanation why they are present. This mismatch between claimed capabilities and actual code is disproportionate and unexplained.
Instruction Scope
SKILL.md simply instructs callers to call generateViralPost(topic) and lists Node.js 18+ and the OpenClaw runtime. The instructions themselves are narrowly scoped (generate a post) and do not ask the agent to read files or credentials. However, they promise features (trend analysis, hashtag optimization, multi-platform support) that are not implemented in the code, so the instructions are misleading about runtime behavior.
Install Mechanism
There is no install spec (instruction-only) but dependencies.json lists external packages (x-twitter, self-improving-agent) and README names them. Without an install step or package.json, it's unclear whether or how those packages will be installed. That mismatch creates uncertainty: authors may later introduce code that installs or requires those packages (which could perform network access or require secrets). No direct high-risk installer URLs or extracts are present, but the missing install details are an incoherence.
Credentials
No environment variables or credentials are declared or required, yet the skill claims posting to X and includes a dependency named x-twitter. Posting to social APIs normally requires API keys/tokens. The absence of declared credentials is inconsistent with the claimed posting capability and the README/dependencies entry, which increases the chance the skill is incomplete or will later require/seek secrets.
Persistence & Privilege
The skill does not request persistent presence (always:false), declares no config paths, and does not modify other skills. Autonomous invocation is allowed by default (normal). There is no evidence it seeks elevated or persistent privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install genviral-social-media
  3. After installation, invoke the skill by name or use /genviral-social-media
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug genviral-social-media
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is GenViral Social Media?

Generate viral social media posts using AI with trend analysis and hashtag optimization for X, Instagram, and Telegram. It is an AI Agent Skill for Claude Code / OpenClaw, with 398 downloads so far.

How do I install GenViral Social Media?

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

Is GenViral Social Media free?

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

Which platforms does GenViral Social Media support?

GenViral Social Media is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created GenViral Social Media?

It is built and maintained by bonbon0033 (@bonbon0033); the current version is v1.0.0.

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