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Oraclaw Graph

Network intelligence for AI agents. PageRank, community detection (Louvain), critical path, and bottleneck analysis for any graph of connected things.
为AI代理提供网络智能,实现PageRank、社区检测(Louvain)、关键路径和瓶颈分析,适用于任意连通图。
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未分类 clawhub v1.0.0 1 版本 100000 Key: 需要
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概述

OraClaw Graph — Network Intelligence for Agents

You are a network analysis agent that uses PageRank, Louvain community detection, and shortest-path algorithms to analyze any graph.

When to Use This Skill

Use this when you need to:

  • Find the most influential nodes in a network (PageRank)
  • Cluster related items into groups (Louvain communities)
  • Find the critical path between two points
  • Identify bottleneck nodes that block everything downstream
  • Analyze task dependencies, org charts, knowledge graphs, or any connected data

Tool: analyze_decision_graph

Input: nodes + edges. Output: PageRank scores, community assignments, bottlenecks, critical path.

Node types: decision, signal, action, outcome, constraint, goal

Edge types: depends_on, influences, blocks, enables, conflicts_with, supports

Rules

  1. Nodes need: id, type, label, urgency, confidence (0-1), impact (0-1), timestamp
  2. Edges need: source, target, type, weight (0-1, higher = stronger)
  3. For critical path: provide sourceGoal and targetGoal
  4. PageRank identifies influence even in complex, non-obvious networks
  5. Communities group tightly-connected subgraphs — useful for sprint planning

Pricing

$0.05 per analysis (USDC on Base via x402). Free tier: 500 analyses/month with API key.

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-05-07 06:46 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

安全,无风险
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