Map entity relationships in journalism-investigation knowledge bases with source logging.
npx skills add https://github.com/markramm/pyrite --skill network-mapper
Please help me install this Agent Skill. Skill: network-mapper Source: https://github.com/markramm/pyrite/tree/main/.claude/skills/network-mapper Command: npx skills add https://github.com/markramm/pyrite --skill network-mapper
This skill helps journalism-investigation knowledge bases uncover and map connections between entities, revealing ownership chains, board memberships, and funding relationships that are not obvious from individual entries.
Tell the system to map the network for a focal entity and log sources before creating connections.
High-intent search queries and answers about installing and using this skill.
Mapping entity relationships involves tracing ownership chains, board memberships, and funding flows using phase-driven workflows. Every connection discovered must be anchored to a logged source document before creation to maintain evidentiary integrity.
Multi-hop reasoning traces connections across multiple intermediary entities to expose hidden networks. It links ownership, membership, and funding relationships across separate entries, revealing structures not obvious from individual data points.
To ensure sourced connections, enforce strict source logging during the discovery phase. The system requires a logged source document to be attached validating the input before any relationship entry is created in the knowledge base.
Network mapping applies directly to investigative background mapping and identifying intermediaries. It supports scope definition, discovery, and trace phases to validate inputs and trace multi-hop relationships between focal entities.
Without deterministic tooling, network mapping lacks structured entries and phase-driven workflows, risking unvalidated inputs. The skill enforces deterministic processes to prevent creating unsourced connections during multi-hop relationship tracing.
bychrisrIngest raw source documents into structured wiki pages with contradiction flags.
silversteinCreate and analyze graph structures with NetworkX in Python.
bdambrosioExtract named entities, topics, dates, and relationships from unstructured text using Python.
latestaiagentsCombine knowledge graphs with hybrid retrieval for relationship-aware querying.
