[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6Q0TY3N331ZXSMAT8DDYR04":3,"skill-same:01M6Q0TY3N331ZXSMAT8DDYR04":73},{"skillNo":4,"name":5,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":14,"categories":15,"keywords":16,"publishedAt":21,"linkOnly":22,"markdownContent":23,"markdownBody":23,"frontMatter":24,"refName":25,"commitSha":26,"skillDirectory":27,"forksCount":28,"repositoryHtmlUrl":29,"repositoryHomepageUrl":6,"ownerHtmlUrl":30,"ownerBlogUrl":6,"ownerDescription":31,"updatedAt":32,"install":33,"resources":46},"01M6Q0TY3N331ZXSMAT8DDYR04","osint-graph-analyzer",null,"Kernel8901\u002Fai-agent-skills-classification","Kernel8901","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F72647553?v=4","01M6KV388J2H5PNC8D8P940BJD","01M6KV38CS5B3AY63RKZB410YM",7,"MIT","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F数据与分析\u002Fosint-graph-analyzer\u002FSKILL.md",[],[17,18,19,20],"graph","osint","osint graph analyzer","analyzer","2026-11-10 10:12:30",false,"# OSINT Graph Analyzer ?️\n\nBuild knowledge graphs from OSINT data and discover hidden patterns using Neo4j graph algorithms.\n\n## What It Does\n\nIngests OSINT data from multiple sources and creates a Neo4j knowledge graph for:\n- **Entity linking** — Connect same person across platforms\n- **Community detection** — Find clusters of related entities\n- **Centrality analysis** — Identify key influencers in networks\n- **Path analysis** — Trace connections between entities\n- **Pattern recognition** — Detect anomalies and hidden relationships\n\n## Use Cases\n\n- **Investigation workflows** — Map relationships in complex cases\n- **Threat intelligence** — Identify central nodes in attack networks\n- **Social network analysis** — Discover communities and influence patterns\n- **Counter-OSINT** — Understand your own exposure surface\n\n## Requirements\n\n- Neo4j 5.x (local or remote)\n- Python 3.9+\n- neo4j-driver package\n\n## Usage\n\n```bash\n# Start Neo4j instance (local)\ndocker run -d \\\n  --name neo4j \\\n  -p 7474:7474 -p 7687:7687 \\\n  -e NEO4J_AUTH=neo4j\u002Fpassword \\\n  neo4j:5.23\n\n# Ingest data\npython3 scripts\u002Fosint-graph.py --ingest data\u002Fsources.csv\n\n# Run community detection\npython3 scripts\u002Fosint-graph.py --community-detection\n\n# Find most central entities\npython3 scripts\u002Fosint-graph.py --centrality --top 10\n\n# Trace path between two entities\npython3 scripts\u002Fosint-graph.py --path \"Entity A\" \"Entity B\"\n\n# Export graph as visualization\npython3 scripts\u002Fosint-graph.py --export graph.json\n```\n\n## Data Format\n\nSupported formats:\n- CSV (node + edge files)\n- JSON (Cypher queries)\n- Direct API ingestion (Telegram, Twitter, etc.)\n\nCSV example:\n```csv\nnodes.csv:\nid,name,type,properties\n1,@target_account,person,\"{country:US,verified:true}\"\n2,@associated_handle,person,\"{country:RU}\"\n\nedges.csv:\nsource,target,relationship,timestamp\n1,2,MENTIONED,2026-01-31\n```\n\n## Graph Algorithms\n\n| Algorithm | What It Finds | Use Case |\n|------------|----------------|-----------|\n| **Louvain** | Community clusters | Find groups working together |\n| **PageRank** | Influence centrality | Identify key influencers |\n| **Betweenness** | Bridge nodes | Find connection points between communities |\n| **Shortest Path** | Connection chains | Trace indirect relationships |\n| **Weakly Connected** | Disconnected subgraphs | Find isolated clusters |\n\n## Architecture\n\n```\n┌─────────────────┐\n│  Ingestion      │  ← CSV\u002FJSON\u002FAPI sources\n└────────┬────────┘\n         │\n         ▼\n┌─────────────────┐\n│  Neo4j Graph    │  ← Nodes + Relationships\n└────────┬────────┘\n         │\n         ▼\n┌─────────────────┐\n│  Algorithms     │  ← GraphX \u002F Neo4j Graph Algorithms\n└────────┬────────┘\n         │\n         ▼\n┌─────────────────┐\n│  Visualization  │  ← JSON export + D3.js \u002F Cytoscape\n└─────────────────┘\n```\n\n## Inspiration\n\n- **CRIS** — Multi-agent criminal intelligence system with Neo4j\n- **Context Graphs** — Semantic search + structural analysis\n- **osint-analyser** — LLM-powered OSINT automation\n\n## Local-Only Promise\n\n- Data stays local (Neo4j instance)\n- No external API calls for analysis\n- Optional offline mode\n\n## Version History\n\n- **v0.1** — MVP: CSV ingest, basic algorithms, JSON export\n- Roadmap: API integration, ML anomaly detection, real-time updates\n",{},"main","f4cb2d49f7667e79ef7804f50396d5aaffdf1f56","数据与分析\u002Fosint-graph-analyzer",1,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification","https:\u002F\u002Fgithub.com\u002FKernel8901","a little little little dobe in life but science 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