Skill audit report
Build GraphRAG retrieval pipelines on Neo4j using the neo4j-graphrag Python
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
107 GitHub stars
Stars/forks activity
WARN57
107 stars, 36 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
23d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO70
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
FAIL36
command execution surface, credential or environment access
Install availability
PASS92
npx skills add neo4j-contrib/neo4j-skills --skill neo4j-graphrag-skill
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL18
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-graphrag-skill
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add neo4j-contrib/neo4j-skills --skill neo4j-graphrag-skill
Repository
88
https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-graphrag-skill
License
86
MIT
Maintenance
100
23d since push
AI review
55
SKILL.md states it does NOT handle KG construction, yet references/kg-builder.md and references/knowledge-graph-construction.md provide detailed SimpleKGPipeline guidance, which may confuse agents about scope.
README/SKILL.md completeness
84
Usable description available
Dependency risk
36
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
18
secrets or environment access, shell or command execution
Stars/forks activity
57
107 stars, 36 forks; issue activity unavailable in current metadata
Adoption
68
107 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Warnings
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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