neo4jev: Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring

by jexp · Agent Tool · ★ 180

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Security audit verdict: SAFE · quality 61/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars180
Forks27
LanguageJupyter Notebook
CategoryAgent Tool
LicenseMIT
Quality Score61/100
Open Issues2
Last Updated2026-09-18
Created2026-09-16
Est. Tokens~18k

About neo4jev

neo4jev — Graph Navigation Demo (TypeSafe Jev + Neo4j) A demo application that navigates a Neo4j graph one hop at a time using TypeSafe's () structured-decision API instead of free-text LLM generation. At each visited node, the outgoing relationships are presented as options (relationship type, relationship properties, target node label/properties), and the API returns a full probability...

Compatible Skills

These tools work well together with neo4jev for enhanced workflows:

  • jev-mcp — semantic(0.56)+complementary+similar_pop (55%)
  • jev-browser — semantic(0.52)+complementary+similar_pop (53%)
  • building-with-jev-skill — semantic(0.49)+complementary+similar_pop (52%)
  • blink — semantic(0.48)+complementary+similar_pop (52%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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