graph-query — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited graph-query (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Search past data accumulated in the knowledge graph (Neo4j) using natural language.
python3 .claude/skills/graph-query/scripts/run_query.py "natural language query"For natural language → skill selection, see .claude/rules/intent-routing.md.
Results are displayed in Markdown format. If no data is found, a message is shown. If Neo4j is not connected, displays "No data found."
When displaying graph query results, integrate with conversation context:
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.