Oraclaw Graph
Skill ActiveNetwork intelligence for AI agents. PageRank, community detection (Louvain), critical path, and bottleneck analysis for any graph of connected things.
To equip AI agents with advanced network analysis capabilities, enabling them to understand the structure, influence, and critical components of connected data.
Features
- PageRank score calculation
- Louvain community detection
- Critical path analysis
- Bottleneck node identification
- Analysis of decision graphs
Use Cases
- Finding most influential nodes in a network
- Clustering related items into groups
- Determining critical paths between points
- Identifying bottleneck nodes in workflows
Non-Goals
- General-purpose data visualization
- Real-time network monitoring
- Graph manipulation (adding/deleting nodes/edges)
Documentation
- warning:Configuration & parameter referenceThe SKILL.md lists an `ORACLAW_API_KEY` as a required environment variable but does not specify how to obtain it or its required scopes, nor does it detail other configuration parameters.
Security
- warning:Secret ManagementThe SKILL.md specifies `ORACLAW_API_KEY` as a required environment variable, but the README and SKILL.md do not detail how to obtain this key or its scope, increasing the risk of misconfiguration or mishandling.
Install
- warning:Installation instructionWhile installation instructions for the MCP server and REST API are provided, the requirement for an `ORACLAW_API_KEY` is mentioned without clear steps on how to obtain it or its necessary scopes.
Practical Utility
- info:Usage examplesWhile the README provides examples for the REST API and SDKs, and the SKILL.md lists node/edge types, there are no end-to-end, copy-pasteable examples for the `analyze_decision_graph` tool within the skill context.
- info:Edge casesThe SKILL.md mentions node and edge types and basic requirements, but does not explicitly document failure modes or recovery steps for malformed input or unmet dependencies.
Installation
npx skills add Whatsonyourmind/oraclawRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
Trust Signals
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