Skill audit report

Neo4j Graphrag Python Audit report.

Neo4j GraphRAG for Python

REVIEWED · REVIEWNeeds reviewGenerated Aug 23, 2026Heuristic metadata audit
84
Audit
80
Trust
85
Quality
80
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

80
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

86

1.2K GitHub stars

Stars/forks activity

INFO

77

1.2K stars, 217 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

WARN

42

Unknown

README/SKILL.md completeness

WARN

50

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

82

database surface

Install availability

PASS

92

npx skills add neo4j/neo4j-graphrag-python

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

88

database access

Repository evidence

PASS

86

https://github.com/neo4j/neo4j-graphrag-python

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 6 Needs review

Install path

92

PASS

npx skills add neo4j/neo4j-graphrag-python

Repository

88

PASS

https://github.com/neo4j/neo4j-graphrag-python

License

45

CHECK

Unknown

Maintenance

88

PASS

2mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

82

PASS

database surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

88

PASS

database access

Stars/forks activity

77

CHECK

1.2K stars, 217 forks; issue activity unavailable in current metadata

Adoption

88

PASS

1.2K GitHub stars

Warnings

  • License is unclear
  • Documentation summary is thin
  • License clarity: Unknown
  • README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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