Remote ArcREMOTE ARC
Explore networks and dependencies
Understand connected entities, shortest paths, communities and dependency structures.
With Arc
Analyze the network data I provide. Read the NetworkX skill, confirm what nodes and edges mean and whether direction or weight matters. Build the graph, compute the requested measures, inspect disconnected components and export a readable figure with reproducible source. Check current connections, permissions and dependencies first. Use real tools and continue from observations; claim only results actually observed or verified. Inspect uncertain external effects before any repeat. Report specific missing capabilities.
Arc requirements
Node/edge data and a local NetworkX-compatible Python environment.
Arc boundaries
Network measures depend on data coverage and the chosen edge meanings; centrality is not proof of causal influence.
With Connect: example request
Analyze the network data I provide. Read the NetworkX skill, confirm what nodes and edges mean and whether direction or weight matters. Build the graph, compute the requested measures, inspect disconnected components and export a readable figure with reproducible source.
With Connect: how the work proceeds
Build and inspect the graph structure. Calculate the requested measures and explain the result.
Connect tools and permissions
read_skill · read_file · write_file · start_process. Node/edge data and a local NetworkX-compatible Python environment.
What useful evidence looks like
Graph exports, measured results and node/edge definitions.
Know the boundary
Network measures depend on data coverage and the chosen edge meanings; centrality is not proof of causal influence.