Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Mariadb — mariaDB Galera cluster status, MaxScale routing, ColumnStore engine analysis, performance schema tuning, and replication health.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Analyze and optimize MariaDB clusters with safe, read-only operations.
You MUST follow this two-phase pattern. Skipping Phase 1 causes hallucinated database/table names.
#!/bin/bash
# 1. MariaDB version
mariadb -h "$MDB_HOST" -u "$MDB_USER" -p"$MDB_PASSWORD" -e "SELECT VERSION();"
# 2. List databases
mariadb -h "$MDB_HOST" -u "$MDB_USER" -p"$MDB_PASSWORD" -e "SHOW DATABASES;"
# 3. List tables
mariadb -h "$MDB_HOST" -u "$MDB_USER" -p"$MDB_PASSWORD" -e "SHOW TABLES FROM my_database;"
# 4. Describe table (never assume column names)
mariadb -h "$MDB_HOST" -u "$MDB_USER" -p"$MDB_PASSWORD" -e "DESCRIBE my_database.my_table;"
# 5. Check for Galera
mariadb -h "$MDB_HOST" -u "$MDB_USER" -p"$MDB_PASSWORD" -e "SHOW STATUS LIKE 'wsrep_%';" 2>/dev/null
# 6. Check for ColumnStore
mariadb -h "$MDB_HOST" -u "$MDB_USER" -p"$MDB_PASSWORD" -e "SELECT ENGINE FROM information_schema.ENGINES WHERE ENGINE = 'Columnstore';" 2>/dev/null
Phase 1 outputs:
Only reference databases, tables, and columns confirmed in Phase 1.
#!/bin/bash
# Core MariaDB query runner — always use this
mdb_query() {
local query="$1"
mariadb -h "${MDB_HOST:-localhost}" -P "${MDB_PORT:-3306}" \
-u "${MDB_USER:-root}" -p"${MDB_PASSWORD}" \
-N -B -e "$query"
}
# MaxScale API helper (if MaxScale is in use)
maxscale_api() {
local endpoint="$1"
curl -s -u "${MAXSCALE_USER:-admin}:${MAXSCALE_PASSWORD:-mariadb}" \
"http://${MAXSCALE_HOST:-localhost}:8989/v1/$endpoint"
}
LIMIT to user table queriesEXPLAIN before running expensive queries#!/bin/bash
echo "=== Galera Cluster Overview ==="
mdb_query "SHOW STATUS LIKE 'wsrep_cluster_size';"
mdb_query "SHOW STATUS LIKE 'wsrep_cluster_status';"
mdb_query "SHOW STATUS LIKE 'wsrep_local_state_comment';"
mdb_query "SHOW STATUS LIKE 'wsrep_ready';"
mdb_query "SHOW STATUS LIKE 'wsrep_connected';"
echo ""
echo "=== Node Status ==="
mdb_query "SHOW STATUS WHERE Variable_name IN ('wsrep_local_recv_queue_avg', 'wsrep_local_send_queue_avg', 'wsrep_flow_control_paused', 'wsrep_cert_deps_distance', 'wsrep_last_committed');"
echo ""
echo "=== Replication Health ==="
mdb_query "SHOW STATUS WHERE Variable_name LIKE 'wsrep_local%' OR Variable_name LIKE 'wsrep_received%';"
#!/bin/bash
echo "=== MaxScale Servers ==="
maxscale_api "servers" | jq '.data[] | {id, attributes: {state: .attributes.state, address: .attributes.parameters.address, port: .attributes.parameters.port}}'
echo ""
echo "=== MaxScale Services ==="
maxscale_api "services" | jq '.data[] | {id, attributes: {router: .attributes.router, state: .attributes.state, connections: .attributes.connections}}'
echo ""
echo "=== MaxScale Monitors ==="
maxscale_api "monitors" | jq '.data[] | {id, attributes: {module: .attributes.module, state: .attributes.state}}'
#!/bin/bash
echo "=== Slow Queries ==="
mdb_query "SELECT DIGEST_TEXT, COUNT_STAR, ROUND(AVG_TIMER_WAIT/1000000000, 2) as avg_ms, SUM_ROWS_EXAMINED, SUM_ROWS_SENT FROM performance_schema.events_statements_summary_by_digest ORDER BY AVG_TIMER_WAIT DESC LIMIT 15;"
echo ""
echo "=== Table I/O ==="
mdb_query "SELECT OBJECT_SCHEMA, OBJECT_NAME, COUNT_READ, COUNT_WRITE, SUM_TIMER_READ/1000000000 as read_ms, SUM_TIMER_WRITE/1000000000 as write_ms FROM performance_schema.table_io_waits_summary_by_table WHERE OBJECT_SCHEMA NOT IN ('mysql', 'performance_schema', 'information_schema') ORDER BY SUM_TIMER_WAIT DESC LIMIT 15;"
echo ""
echo "=== InnoDB Status ==="
mdb_query "SHOW ENGINE INNODB STATUS\G" | head -50
#!/bin/bash
echo "=== ColumnStore Tables ==="
mdb_query "SELECT TABLE_SCHEMA, TABLE_NAME, ENGINE, TABLE_ROWS, ROUND(DATA_LENGTH/1024/1024, 2) as data_mb FROM information_schema.tables WHERE ENGINE = 'Columnstore' ORDER BY DATA_LENGTH DESC;"
echo ""
echo "=== ColumnStore System Info ==="
mdb_query "SELECT * FROM columnstore_info.system_status;" 2>/dev/null || echo "ColumnStore not available"
echo ""
echo "=== ColumnStore Extents ==="
mdb_query "SELECT * FROM columnstore_info.extent_map LIMIT 20;" 2>/dev/null || echo "ColumnStore not available"
Present results as a structured report:
Analyzing Mariadb 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 |
wsrep_local_state_commentwsrep_flow_control_pausedまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Alloydb — google AlloyDB instance analysis, query insights, columnar engine optimization, maintenance windows, and cluster health.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Bigquery — google BigQuery job analysis, slot utilization, cost analysis, dataset management, and query optimization.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Cassandra — apache Cassandra keyspace analysis, compaction strategies, repair status, nodetool operations, and cluster health monitoring.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。