neo4j-graph-data

Use the Compliance Theater Neo4j graph for case-file, policy, evidence, correction workspace overlays, complaint/correction drafting state, case-theory anchors, email-thread, actor, attachment, subject-matter, embedding, and relationship traversal questions. Trigger when a user asks what graph data exists, how to query Neo4j, how to migrate or persist correction workspace state, how case-file documents connect to policy or people, how to query a named theory such as improper records supporting correction denial, how to traverse evidence relationships, or how to use graph_read, graph_schema, graph_write, graph_embed, or Cypher against Compliance Theater data.

What does this entry provide?

neo4j-graph-data is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Neo4j Graph Data Use this skill to reason over the Compliance Theater Neo4j graph: case-file documents, document properties, correction workspace overlays, ca. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding neo4j-graph-data to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: GitHub Skill Search
Quality: 58/100
Install method: codex
Repo: seanmobrien/we-dont-need-no-education
Repo updated: Oct 28, 2026

Install command

codex skill install seanmobrien/we-dont-need-no-education

Install method: codex

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Unknown

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

Security signals

Scan coverage: Install metadata and the indexed document body.

Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.

Discovery note

# Neo4j Graph Data Use this skill to reason over the Compliance Theater Neo4j graph: case-file documents, document properties, correction workspace overlays, case-theory anchors, e

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