Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
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Use when working with Neo4J — neo4j graph database analysis, index management, Cypher query optimization, APOC utilities, and cluster health monitoring.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Analyze and optimize Neo4j graph databases with safe, read-only operations.
You MUST follow this two-phase pattern. Skipping Phase 1 causes hallucinated label/relationship names.
#!/bin/bash
# 1. Database overview
cypher-shell -u "$NEO4J_USER" -p "$NEO4J_PASSWORD" -a "$NEO4J_URI" "CALL db.labels() YIELD label RETURN label;"
# 2. Relationship types
cypher-shell -u "$NEO4J_USER" -p "$NEO4J_PASSWORD" -a "$NEO4J_URI" "CALL db.relationshipTypes() YIELD relationshipType RETURN relationshipType;"
# 3. Property keys
cypher-shell -u "$NEO4J_USER" -p "$NEO4J_PASSWORD" -a "$NEO4J_URI" "CALL db.propertyKeys() YIELD propertyKey RETURN propertyKey;"
# 4. Schema overview
cypher-shell -u "$NEO4J_USER" -p "$NEO4J_PASSWORD" -a "$NEO4J_URI" "CALL db.schema.visualization();"
# 5. Sample nodes per label
cypher-shell -u "$NEO4J_USER" -p "$NEO4J_PASSWORD" -a "$NEO4J_URI" "MATCH (n:MyLabel) RETURN n LIMIT 3;"
Phase 1 outputs:
Only reference labels, relationship types, and properties confirmed in Phase 1.
#!/bin/bash
# Core Cypher runner — always use this
neo4j_query() {
local query="$1"
cypher-shell -u "${NEO4J_USER:-neo4j}" -p "${NEO4J_PASSWORD}" \
-a "${NEO4J_URI:-bolt://localhost:7687}" \
--format plain "$query"
}
# HTTP API alternative
neo4j_http() {
local query="$1"
curl -s -u "${NEO4J_USER:-neo4j}:${NEO4J_PASSWORD}" \
-H "Content-Type: application/json" \
-d "{\"statements\":[{\"statement\":\"$query\"}]}" \
"http://${NEO4J_HOST:-localhost}:7474/db/neo4j/tx/commit"
}
db.labels()db.relationshipTypes()db.propertyKeys() or sample nodesSHOW INDEXESSHOW CONSTRAINTSLIMIT to MATCH queries — graphs can have millions of nodesEXPLAIN before running expensive traversalsPROFILE sparingly — it executes the query and captures runtime stats#!/bin/bash
echo "=== Neo4j Version ==="
neo4j_query "CALL dbms.components() YIELD name, versions RETURN name, versions;"
echo ""
echo "=== Node Counts by Label ==="
neo4j_query "CALL db.labels() YIELD label CALL { WITH label CALL db.stats.retrieve('GRAPH COUNTS') YIELD nodeCount RETURN nodeCount } RETURN label, nodeCount;" 2>/dev/null || \
neo4j_query "MATCH (n) RETURN labels(n)[0] AS label, count(*) AS count ORDER BY count DESC;"
echo ""
echo "=== Relationship Counts ==="
neo4j_query "MATCH ()-[r]->() RETURN type(r) AS type, count(*) AS count ORDER BY count DESC;"
echo ""
echo "=== Database Size ==="
neo4j_query "CALL dbms.queryJmx('org.neo4j:instance=kernel#0,name=Store sizes') YIELD attributes RETURN attributes;" 2>/dev/null || echo "JMX not available"
#!/bin/bash
echo "=== Existing Indexes ==="
neo4j_query "SHOW INDEXES YIELD name, type, state, populationPercent, labelsOrTypes, properties RETURN name, type, state, populationPercent, labelsOrTypes, properties ORDER BY labelsOrTypes;"
echo ""
echo "=== Constraints ==="
neo4j_query "SHOW CONSTRAINTS YIELD name, type, labelsOrTypes, properties RETURN name, type, labelsOrTypes, properties;"
echo ""
echo "=== Index Usage (via query plan) ==="
neo4j_query "EXPLAIN MATCH (n:MyLabel {myProp: 'value'}) RETURN n;"
#!/bin/bash
echo "=== Active Queries ==="
neo4j_query "CALL dbms.listQueries() YIELD queryId, username, query, elapsedTimeMillis, status RETURN queryId, username, substring(query, 0, 80) AS query_preview, elapsedTimeMillis, status ORDER BY elapsedTimeMillis DESC;" 2>/dev/null || echo "listQueries not available in this edition"
echo ""
echo "=== Query Plan Analysis ==="
# Replace with actual query from Phase 1 discovery
neo4j_query "PROFILE MATCH (n:MyLabel)-[:MY_REL]->(m) RETURN n, m LIMIT 100;"
echo ""
echo "=== Transaction Status ==="
neo4j_query "CALL dbms.listTransactions() YIELD transactionId, username, currentQueryId, elapsedTimeMillis, status RETURN transactionId, username, currentQueryId, elapsedTimeMillis, status;" 2>/dev/null
#!/bin/bash
echo "=== APOC Version ==="
neo4j_query "RETURN apoc.version();" 2>/dev/null || echo "APOC not installed"
echo ""
echo "=== Graph Stats via APOC ==="
neo4j_query "CALL apoc.meta.stats() YIELD labelCount, relTypeCount, nodeCount, relCount, propertyKeyCount RETURN labelCount, relTypeCount, nodeCount, relCount, propertyKeyCount;" 2>/dev/null
echo ""
echo "=== Schema via APOC ==="
neo4j_query "CALL apoc.meta.schema() YIELD value RETURN value;" 2>/dev/null
Present results as a structured report:
Analyzing Neo4J Report
══════════════════════
Resources discovered: [count]
Resource Status Key Metric Issues
──────────────────────────────────────────────
[name] [ok/warn] [value] [findings]
Summary: [total] resources | [ok] healthy | [warn] warnings | [crit] critical
Action Items: [list of prioritized findings]
Target ≤50 lines of output. Use tables for multi-resource comparisons.
| Shortcut | Counter | Why |
|---|---|---|
| "I'll skip discovery and check known resources" | Always run Phase 1 discovery first | Resource names change, new resources appear — assumed names cause errors |
| "The user only asked for a quick check" | Follow the full discovery → analysis flow | Quick checks miss critical issues; structured analysis catches silent failures |
| "Default configuration is probably fine" | Audit configuration explicitly | Defaults often leave logging, security, and optimization features disabled |
| "Metrics aren't needed for this" | Always check relevant metrics when available | API/CLI responses show current state; metrics reveal trends and intermittent issues |
| "I don't have access to that" | Try the command and report the actual error | Assumed permission failures prevent useful investigation; actual errors are informative |
MATCH (a)-[*]->(b) can explode on large graphs — always bound depth with [*1..3]SHOW INDEXESEXPLAIN to check for Eager operators아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
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Use when working with Alloydb — google AlloyDB instance analysis, query insights, columnar engine optimization, maintenance windows, and cluster health.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when working with Aqua — aqua Security platform analysis. Covers container runtime protection, image assurance policies, compliance frameworks, vulnerability management, workload protection, and registry scanning. Use when analyzing container security posture, reviewing image compliance, investigating runtime alerts, or auditing security policies.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when working with Bigquery — google BigQuery job analysis, slot utilization, cost analysis, dataset management, and query optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when working with Cassandra — apache Cassandra keyspace analysis, compaction strategies, repair status, nodetool operations, and cluster health monitoring.
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Use when working with Checkov — checkov infrastructure-as-code security scanning. Covers Terraform, CloudFormation, Kubernetes, and Dockerfile scanning, policy management, custom checks, compliance frameworks, and suppression management. Use when scanning IaC for security misconfigurations, evaluating compliance, managing custom policies, or reviewing scan results.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.