Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when working with Airbyte — airbyte data integration platform management. Covers connection status monitoring, sync job tracking, source and destination health, schema change detection, workspace management, and connector upgrades. Use when checking sync status, investigating job failures, managing Airbyte connections, or auditing data pipeline configurations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Manage and monitor Airbyte connections, sync jobs, and data pipeline health via the Airbyte API.
Always list workspaces and connections before querying specific jobs or sources.
#!/bin/bash
airbyte_api() {
local method="${1:-POST}"
local endpoint="$2"
local data="${3:-{}}"
curl -s -X "$method" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${AIRBYTE_API_TOKEN}" \
"${AIRBYTE_API_URL}/api/v1/${endpoint}" \
-d "$data"
}
echo "=== Workspaces ==="
airbyte_api POST "workspaces/list" | jq -r '
.workspaces[] | "\(.workspaceId)\t\(.name)\t\(.slug)"
' | column -t
echo ""
echo "=== Connections Summary ==="
airbyte_api POST "connections/list" "{\"workspaceId\": \"${AIRBYTE_WORKSPACE_ID}\"}" | jq -r '
.connections[] | "\(.connectionId[0:8])\t\(.name)\t\(.status)\t\(.scheduleType // "manual")"
' | column -t | head -30
echo ""
echo "=== Source/Destination Count ==="
SOURCES=$(airbyte_api POST "sources/list" "{\"workspaceId\": \"${AIRBYTE_WORKSPACE_ID}\"}" | jq '.sources | length')
DESTS=$(airbyte_api POST "destinations/list" "{\"workspaceId\": \"${AIRBYTE_WORKSPACE_ID}\"}" | jq '.destinations | length')
echo "Sources: $SOURCES | Destinations: $DESTS"
#!/bin/bash
airbyte_api() {
local method="${1:-POST}"
local endpoint="$2"
local data="${3:-{}}"
curl -s -X "$method" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${AIRBYTE_API_TOKEN}" \
"${AIRBYTE_API_URL}/api/v1/${endpoint}" \
-d "$data"
}
#!/bin/bash
echo "=== Connection Status Overview ==="
airbyte_api POST "connections/list" "{\"workspaceId\": \"${AIRBYTE_WORKSPACE_ID}\"}" | jq '
.connections | {
total: length,
active: [.[] | select(.status == "active")] | length,
inactive: [.[] | select(.status == "inactive")] | length,
deprecated: [.[] | select(.status == "deprecated")] | length
}'
echo ""
echo "=== Recent Job Failures ==="
airbyte_api POST "connections/list" "{\"workspaceId\": \"${AIRBYTE_WORKSPACE_ID}\"}" | jq -r '
.connections[] | .connectionId
' | head -20 | while read cid; do
airbyte_api POST "jobs/list" "{\"configTypes\": [\"sync\"], \"configId\": \"${cid}\", \"pagination\": {\"pageSize\": 1}}" | jq -r '
.jobs[]? | select(.job.status == "failed") |
"\(.job.configId[0:8])\t\(.job.status)\t\(.job.createdAt | todate)\t\(.attempts[-1].failureSummary?.failures[0]?.externalMessage[0:60] // "unknown")"
'
done | column -t | head -15
#!/bin/bash
CONNECTION_ID="${1:?Connection ID required}"
echo "=== Connection Details ==="
airbyte_api POST "connections/get" "{\"connectionId\": \"${CONNECTION_ID}\"}" | jq '{
name: .name,
status: .status,
schedule: .scheduleType,
namespace: .namespaceFormat,
prefix: .prefix,
streams: (.syncCatalog.streams | length)
}'
echo ""
echo "=== Recent Sync Jobs ==="
airbyte_api POST "jobs/list" "{\"configTypes\": [\"sync\"], \"configId\": \"${CONNECTION_ID}\", \"pagination\": {\"pageSize\": 10}}" | jq -r '
.jobs[] | "\(.job.id)\t\(.job.status)\t\(.job.createdAt | todate)\t\(.job.updatedAt | todate)"
' | column -t
echo ""
echo "=== Last Sync Stats ==="
airbyte_api POST "jobs/list" "{\"configTypes\": [\"sync\"], \"configId\": \"${CONNECTION_ID}\", \"pagination\": {\"pageSize\": 1}}" | jq '
.jobs[0].attempts[-1].attempt | {
status: .status,
records_synced: .totalStats.recordsEmitted,
bytes_synced: .totalStats.bytesEmitted,
records_committed: .totalStats.recordsCommitted
}'
#!/bin/bash
echo "=== Sources ==="
airbyte_api POST "sources/list" "{\"workspaceId\": \"${AIRBYTE_WORKSPACE_ID}\"}" | jq -r '
.sources[] | "\(.sourceId[0:8])\t\(.sourceName)\t\(.name)\t\(.connectionConfiguration | keys | join(","))"
' | column -t | head -20
echo ""
echo "=== Destinations ==="
airbyte_api POST "destinations/list" "{\"workspaceId\": \"${AIRBYTE_WORKSPACE_ID}\"}" | jq -r '
.destinations[] | "\(.destinationId[0:8])\t\(.destinationName)\t\(.name)"
' | column -t | head -10
echo ""
echo "=== Source Health Check ==="
SOURCE_ID="${1:-}"
if [ -n "$SOURCE_ID" ]; then
airbyte_api POST "sources/check_connection" "{\"sourceId\": \"${SOURCE_ID}\"}" | jq '{
status: .status,
message: .message
}'
fi
#!/bin/bash
CONNECTION_ID="${1:?Connection ID required}"
echo "=== Configured Streams ==="
airbyte_api POST "connections/get" "{\"connectionId\": \"${CONNECTION_ID}\"}" | jq -r '
.syncCatalog.streams[] |
"\(.stream.name)\t\(.config.syncMode)\t\(.config.destinationSyncMode)\t\(.stream.jsonSchema.properties | keys | length) cols"
' | column -t | head -20
echo ""
echo "=== Discover Source Schema (fresh) ==="
SOURCE_ID=$(airbyte_api POST "connections/get" "{\"connectionId\": \"${CONNECTION_ID}\"}" | jq -r '.sourceId')
airbyte_api POST "sources/discover_schema" "{\"sourceId\": \"${SOURCE_ID}\"}" | jq -r '
.catalog.streams[] | "\(.stream.name)\t\(.stream.jsonSchema.properties | keys | length) cols\t\(.stream.supportedSyncModes | join(","))"
' | column -t | head -20
#!/bin/bash
CONNECTION_ID="${1:?Connection ID required}"
ACTION="${2:-status}"
case "$ACTION" in
trigger)
echo "=== Triggering Sync ==="
airbyte_api POST "connections/sync" "{\"connectionId\": \"${CONNECTION_ID}\"}" | jq '{
job_id: .job.id,
status: .job.status,
config_type: .job.configType
}'
;;
reset)
echo "=== Triggering Reset ==="
airbyte_api POST "connections/reset" "{\"connectionId\": \"${CONNECTION_ID}\"}" | jq '{
job_id: .job.id,
status: .job.status
}'
;;
status)
echo "=== Current Status ==="
airbyte_api POST "connections/get" "{\"connectionId\": \"${CONNECTION_ID}\"}" | jq '{
name: .name, status: .status, schedule: .scheduleType
}'
;;
esac
Present results as a structured report:
Managing Airbyte 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.
--help output.| 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 |
workspaceId — always discover workspaces firstdiscover_schema can be slow (minutes) for large databases — it queries the actual sourcefull_refresh re-syncs everything; incremental only new/changed — wrong mode causes data loss or duplicationoverwrite replaces data; append adds rows; append_dedup upserts — verify before changingconnections/reset deletes all data in destination and re-syncs — use with extreme cautionattempts[-1] for latest아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.