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 Cockroachdb — cockroachDB cluster health, range distribution, SQL statistics, schema change monitoring, and query optimization.
インストール方法を見る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 CockroachDB clusters with safe, read-only operations.
You MUST follow this two-phase pattern. Skipping Phase 1 causes hallucinated database/table names.
#!/bin/bash
# 1. Cluster overview
cockroach node status --certs-dir="$CERTS_DIR" --host="$CRDB_HOST"
# 2. List databases
cockroach sql --certs-dir="$CERTS_DIR" --host="$CRDB_HOST" -e "SHOW DATABASES;"
# 3. List tables in a database
cockroach sql --certs-dir="$CERTS_DIR" --host="$CRDB_HOST" -e "SHOW TABLES FROM mydb;"
# 4. Get table schema
cockroach sql --certs-dir="$CERTS_DIR" --host="$CRDB_HOST" -e "SHOW CREATE TABLE mydb.mytable;"
# 5. Check column names
cockroach sql --certs-dir="$CERTS_DIR" --host="$CRDB_HOST" -e "SHOW COLUMNS FROM mydb.mytable;"
Phase 1 outputs:
Only reference databases, tables, and columns confirmed in Phase 1.
#!/bin/bash
# Core SQL runner — always use this
crdb_sql() {
local query="$1"
cockroach sql --certs-dir="${CERTS_DIR:-certs}" --host="${CRDB_HOST:-localhost}" \
--format=tsv -e "$query" 2>/dev/null
}
# Admin UI API helper (if available)
crdb_api() {
local endpoint="$1"
curl -sk "https://${CRDB_HOST:-localhost}:8080/_admin/v1/$endpoint"
}
SHOW DATABASES / SHOW TABLESSHOW COLUMNS or SHOW CREATE TABLEnode statuscrdb_internal.rangesSHOW CLUSTER SETTING versionLIMIT to queries on user tablesEXPLAIN ANALYZE carefully — it executes the queryEXPLAIN (no ANALYZE) for plan inspection without execution#!/bin/bash
echo "=== Node Status ==="
crdb_sql "SELECT node_id, address, is_live, ranges, locality FROM crdb_internal.gossip_nodes ORDER BY node_id;"
echo ""
echo "=== Store Status ==="
crdb_sql "SELECT node_id, store_id, used, available, range_count FROM crdb_internal.kv_store_status ORDER BY node_id;"
echo ""
echo "=== Cluster Settings (non-default) ==="
crdb_sql "SHOW ALL CLUSTER SETTINGS;" | grep -v "default"
echo ""
echo "=== Version ==="
crdb_sql "SELECT version, crdb_internal.node_id() as node_id;"
#!/bin/bash
echo "=== Range Distribution per Node ==="
crdb_sql "SELECT lease_holder, count(*) as range_count FROM crdb_internal.ranges GROUP BY lease_holder ORDER BY lease_holder;"
echo ""
echo "=== Hot Ranges (top 10 by QPS) ==="
crdb_sql "SELECT range_id, table_name, start_pretty, lease_holder, queries_per_second FROM crdb_internal.ranges ORDER BY queries_per_second DESC LIMIT 10;"
echo ""
echo "=== Under-replicated Ranges ==="
crdb_sql "SELECT range_id, table_name, replicas, learner_replicas FROM crdb_internal.ranges WHERE array_length(replicas, 1) < 3;"
#!/bin/bash
echo "=== Top Slow Queries (by mean latency) ==="
crdb_sql "SELECT substring(metadata->>'query', 1, 80) as query, statistics->'execution_statistics'->>'cnt' as exec_count, statistics->'execution_statistics'->>'meanRunLatency' as mean_lat FROM crdb_internal.statement_statistics ORDER BY (statistics->'execution_statistics'->>'meanRunLatency')::float DESC LIMIT 15;"
echo ""
echo "=== Schema Changes in Progress ==="
crdb_sql "SELECT job_id, description, status, running_status, fraction_completed FROM crdb_internal.jobs WHERE job_type = 'SCHEMA CHANGE' AND status IN ('running', 'paused', 'pending') ORDER BY created DESC LIMIT 10;"
#!/bin/bash
DB_NAME="${1:-defaultdb}"
TABLE="${2:-mytable}"
echo "=== Table Stats ==="
crdb_sql "SHOW STATISTICS FOR TABLE $DB_NAME.$TABLE;"
echo ""
echo "=== Index Usage ==="
crdb_sql "SELECT * FROM crdb_internal.index_usage_statistics WHERE table_id = (SELECT id FROM crdb_internal.tables WHERE name = '$TABLE' AND database_name = '$DB_NAME');"
echo ""
echo "=== Table Ranges ==="
crdb_sql "SELECT count(*) as range_count, sum(range_size_mb) as total_mb FROM crdb_internal.ranges WHERE table_name = '$TABLE';"
Present results as a structured report:
Analyzing Cockroachdb 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 |
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。