Skill audit report
Neo4j Graphrag Python audit report.
Neo4j GraphRAG for Python
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, install safety, permission surface, and installability.
The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
1.2K GitHub stars
Stars/forks activity
INFO77
1.2K stars, 215 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
15d since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
WARN50
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add neo4j/neo4j-graphrag-python
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS88
database access
Repository evidence
PASS86
https://github.com/neo4j/neo4j-graphrag-python
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add neo4j/neo4j-graphrag-python
Repository
88
https://github.com/neo4j/neo4j-graphrag-python
License
45
Unknown
Maintenance
100
15d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
82
database surface
Install command safety
92
standard package or runtime install path
Permission surface
88
database access
Stars/forks activity
77
1.2K stars, 215 forks; issue activity unavailable in current metadata
Adoption
88
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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