Co-Pilot
Updated a month ago

x-impact-checker

Ttonkotsuboy
0.0k
tonkotsuboy/x-impact-checker
68
Agent Score

💡 Summary

Analyzes X (Twitter) posts for viral potential by scoring them against the platform's publicly documented recommendation algorithm weights.

🎯 Target Audience

Social Media ManagersContent Creators & InfluencersDigital Marketing AnalystsCommunity ManagersAspiring Viral Posters

🤖 AI Roast:It's a glorified checklist that guesses virality based on public weights, but it can't actually read the room or the algorithm's secret sauce.

Security AnalysisLow Risk

The README suggests no direct network calls or shell execution, posing minimal runtime risk. The primary concern is the dependency supply chain for the 'npx add-skill' command and the package itself, which could be compromised. Mitigation: Audit the package source and its dependencies before installation in a production environment.

X Impact Checker

A skill that analyzes X (Twitter) posts for viral potential using X's actual recommendation algorithm.

Installation

npx add-skill tonkotsuboy/x-impact-checker

Usage

Trigger the skill with phrases like:

  • "Check if this will go viral: [your post]"
  • "Make this post buzz: [your post]"
  • "Optimize my tweet: [your post]"

Scoring System (100 points)

Based on X's official recommendation algorithm with 19 scoring elements:

Core Engagement (60 points)

  • Reply Potential: 22 points
  • Retweet Potential: 16 points
  • Favorite Potential: 12 points
  • Quote Potential: 10 points

Extended Engagement (25 points)

  • Dwell Time: 6 points
  • Continuous Dwell Time: 4 points
  • Click Potential: 5 points
  • Photo Expand Potential: 4 points
  • Video View Potential: 3 points
  • Quoted Click Potential: 3 points

Relationship Building (15 points)

  • Profile Click: 5 points
  • Follow Potential: 4 points
  • Share Potential: 2 points
  • Share via DM: 2 points
  • Share via Copy Link: 2 points

Negative Signals

  • Not Interested Risk: -5 to -15 points
  • Mute Risk: -5 to -15 points
  • Block Risk: -10 to -25 points
  • Report Risk: -15 to -30 points

Algorithm Source

This skill is based on the publicly documented scoring weights and algorithm specifications from X's open-source recommendation algorithm. It does not directly use code from the original repository, but implements the algorithm concepts independently.

Reference repository:

  • https://github.com/xai-org/x-algorithm

License

Apache 2.0

Copyright 2026 tonkotsuboy

Licensed under the Apache License, Version 2.0. See the LICENSE file for details.


X Impact Checker (日本語)

X(旧Twitter)の公式推薦アルゴリズムに基づいて、投稿がバズるかどうかを分析するスキルです。

インストール

npx add-skill tonkotsuboy/x-impact-checker

使い方

  • "バズるかチェックして: [投稿内容]"
  • "Xでバズる投稿にして: [投稿内容]"
  • "伸びるかチェックして: [投稿内容]"

スコアリングシステム (100点満点)

Xの公式推薦アルゴリズムに基づく19要素のスコアリング:

コアエンゲージメント (60点)

  • Reply Potential (返信潜在力): 22点
  • Retweet Potential (リツイート潜在力): 16点
  • Favorite Potential (いいね潜在力): 12点
  • Quote Potential (引用潜在力): 10点

拡張エンゲージメント (25点)

  • Dwell Time (滞在時間): 6点
  • Continuous Dwell Time (継続滞在時間): 4点
  • Click Potential (クリック潜在力): 5点
  • Photo Expand Potential (写真展開潜在力): 4点
  • Video View Potential (動画視聴潜在力): 3点
  • Quoted Click Potential (引用クリック潜在力): 3点

関係構築 (15点)

  • Profile Click (プロフィールクリック): 5点
  • Follow Potential (フォロー潜在力): 4点
  • Share Potential (共有潜在力): 2点
  • Share via DM (DM経由共有): 2点
  • Share via Copy Link (リンクコピー共有): 2点

ネガティブシグナル

  • Not Interested Risk (興味なしリスク): -5 ~ -15点
  • Mute Risk (ミュートリスク): -5 ~ -15点
  • Block Risk (ブロックリスク): -10 ~ -25点
  • Report Risk (報告リスク): -15 ~ -30点

アルゴリズムの出典

このスキルは、Xのオープンソース推薦アルゴリズムで公開されているスコアリングの重み付けやアルゴリズム仕様を参考にしています。元のリポジトリのコードを直接使用しているのではなく、アルゴリズムの概念を独自に実装しています。

参考リポジトリ:

  • https://github.com/xai-org/x-algorithm

ライセンス

Apache 2.0


https://zenn.dev/tonkotsuboy_com/scraps/8a46a0fc93088b

5-Dim Analysis
Clarity8/10
Novelty5/10
Utility7/10
Completeness6/10
Maintainability8/10
Pros & Cons

Pros

  • Clear, structured scoring system based on public documentation.
  • Easy to install and trigger with natural language prompts.
  • Educational for understanding platform engagement factors.

Cons

  • No actual API or data connection to X for real validation.
  • Scoring is purely heuristic and speculative.
  • Lacks guidance on *how* to improve a post's score.

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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author tonkotsuboy.