X Algorithm Toolkit
Tweet scoring using X's actual algorithm weights - 22 signals, 18 filters, 11 tools
README
ā” X Algorithm Toolkit
Score, optimize, and generate tweets using the actual signal weights from X's open-source recommendation algorithm.
š§ What This Does
This toolkit reverse-engineers X's recommendation algorithm from the open-source codebase and gives you:
- Tweet Scorer ā Score any draft (0-100) against the actual algorithm weights
- Hook Analyzer ā Test your opening line against the -11Ć
not_dwelledpenalty - Diversity Calculator ā Plan posting cadence using the decay formula from
author_diversity_scorer.rs - 18 Filter Checker ā Run tweets through quality/safety gates
- AI Rewrite, Generate & Thread Builder ā Multi-provider AI (Groq, Gemini, OpenAI, Claude)
- Draft Manager, Compare Mode, Score History ā Full workflow tools
- Export Scorecard ā Branded PNG downloads
š The 22 Algorithm Signals
From weighted_scorer.rs + ranking_scorer.rs:
| Signal | Weight | What It Means |
|---|---|---|
| Reply | 27.0Ć | #1 signal ā end every post with a question |
| Bookmark | 10.0Ć | Save-worthy content gets massive boost |
| Follow | 4.0Ć | "I want more" ā the career signal |
| Dwell (Binary) | 2.0Ć | Multi-line posts earn more read time |
| Cont. Dwell Time | 1.5Ć | Longer reads score higher |
| Click-Dwell Time | 1.5Ć | Deep interest after expanding |
| Report | -369Ć | Nuclear penalty ā content becomes invisible |
| Not Interested | -74Ć | Off-topic = algorithmic death |
| Scrolled Past | -11Ć | Weak hooks trigger this |
+ 13 more signals (Like, Repost, Quote, Quoted Click, Share, DM Share, Copy Link, Click, Profile Click, Photo Expand, Video Quality View)
š Quick Start
# Clone
git clone https://github.com/MrChartist/x-algorithm-toolkit.git
cd x-algorithm-toolkit
# Install & Run
npm install
npm run dev
Open http://localhost:5173 ā no API key needed for scoring, filters, and analysis.
For AI features (Rewrite, Generate, Thread), add an API key in Settings (Groq free tier recommended).
š§ MCP Server (npm)
Install the MCP server to connect the algorithm engine to any AI assistant:
Option 1: Via npx (Recommended)
Add to claude_desktop_config.json:
{
"mcpServers": {
"x-algorithm": {
"command": "npx",
"args": ["-y", "x-algorithm-mcp"]
}
}
}
Option 2: Global Install
npm install -g x-algorithm-mcp
Option 3: From Source
cd mcp && npm install && npm run build
11 Tools: score_tweet, check_filters, analyze_hook, get_signals, get_optimal_schedule, compare_tweets, detect_spam_patterns, diversity_penalty, classify_niche, get_thread_strategy, full_audit
3 Resources: x-algorithm://weights, x-algorithm://filters, x-algorithm://niches
šÆ AI Skill (Antigravity / Gemini CLI)
400+ lines of domain expertise that makes any AI an X algorithm expert:
Install Globally
mkdir -p ~/.gemini/antigravity/skills/x-algorithm-expert
curl -o ~/.gemini/antigravity/skills/x-algorithm-expert/SKILL.md \
https://raw.githubusercontent.com/MrChartist/x-algorithm-toolkit/master/skill/SKILL.md
What's Covered:
- All 22 signal weights with optimization strategies
- Phoenix Grok-based transformer architecture
- 77+ topic categories from
topic_ids_filter.rs - 10-point scoring system with letter grades
- Hook writing rules and 7 templates
- Author diversity decay formula
- OON viral mechanics
- Thread building strategy (6 templates)
- 18 safety filter checklist
- Niche-specific optimization (7 niches)
š Architecture
x-algo-toolkit/
āāā src/ # React Web App (13 tabs)
ā āāā engine/ # Scoring engine + AI abstraction
ā āāā components/ # 15 UI components
āāā mcp/ # MCP Server (11 tools, 3 resources)
ā āāā src/ # TypeScript source
ā āāā dist/ # Compiled output
ā āāā package.json # npm: x-algorithm-mcp
āāā skill/ # AI Skill
ā āāā SKILL.md # 400+ line expertise file
āāā public/ # Static assets
š ļø Tech Stack
- Frontend: React 19, TypeScript, Vite
- Animations: Framer Motion
- AI: Multi-provider (Groq/Gemini/OpenAI/Claude)
- MCP:
@modelcontextprotocol/sdkv1.12+ - Storage: localStorage (no backend needed)
š License
MIT ā Built by @Mr_Chartist
Data sourced from X's open-source algorithm: weighted_scorer.rs, ranking_scorer.rs, author_diversity_scorer.rs, oon_scorer.rs, topic_ids_filter.rs, recsys_model.py
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