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GenViral Social Media
作者
bonbon0033
· GitHub ↗
· v1.0.0
· MIT-0
398
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install genviral-social-media
功能描述
Generate viral social media posts using AI with trend analysis and hashtag optimization for X, Instagram, and Telegram
使用说明 (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
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install genviral-social-media - 安装完成后，直接呼叫该 Skill 的名称或使用
/genviral-social-media触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
常见问题
GenViral Social Media 是什么？
Generate viral social media posts using AI with trend analysis and hashtag optimization for X, Instagram, and Telegram. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 398 次。
如何安装 GenViral Social Media？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install genviral-social-media」即可一键安装，无需额外配置。
GenViral Social Media 是免费的吗？
是的，GenViral Social Media 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
GenViral Social Media 支持哪些平台？
GenViral Social Media 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 GenViral Social Media？
由 bonbon0033（@bonbon0033）开发并维护，当前版本 v1.0.0。
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