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 Buildkite — buildkite CI/CD pipeline and agent management. Covers build pipeline status, agent pool health, artifact management, build annotations, and cluster queue monitoring. Use when checking build status, investigating failures, managing agents, or reviewing pipeline configurations.
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。
Manage and monitor Buildkite build pipelines, agents, and artifacts.
#!/bin/bash
# Buildkite REST API helper
buildkite_api() {
local method="${1:-GET}"
local endpoint="$2"
local data="${3:-}"
if [ -n "$data" ]; then
curl -s -X "$method" \
-H "Authorization: Bearer ${BUILDKITE_TOKEN}" \
-H "Content-Type: application/json" \
"https://api.buildkite.com/v2/${endpoint}" \
-d "$data"
else
curl -s -X "$method" \
-H "Authorization: Bearer ${BUILDKITE_TOKEN}" \
"https://api.buildkite.com/v2/${endpoint}"
fi
}
# GraphQL API helper for complex queries
buildkite_graphql() {
local query="$1"
curl -s -X POST \
-H "Authorization: Bearer ${BUILDKITE_TOKEN}" \
-H "Content-Type: application/json" \
"https://graphql.buildkite.com/v1" \
-d "{\"query\": \"$query\"}"
}
Always list pipelines and agents before querying specific builds.
#!/bin/bash
echo "=== Organization Info ==="
buildkite_api GET "organizations/${BK_ORG}" | jq '{name: .name, slug: .slug, pipelines_count: .pipelines_count, agents_count: .agents_count}'
echo ""
echo "=== Pipelines ==="
buildkite_api GET "organizations/${BK_ORG}/pipelines?per_page=20" | jq -r '
.[] | "\(.slug)\t\(.running_builds_count) running\t\(.scheduled_builds_count) queued\t\(.visibility)"
' | column -t
echo ""
echo "=== Agent Summary ==="
buildkite_api GET "organizations/${BK_ORG}/agents?per_page=30" | jq -r '
.[] | "\(.name)\t\(.connection_state)\t\(.hostname)\tqueue=\(.metadata // [] | map(select(startswith("queue="))) | .[0] // "default")"
' | column -t | head -20
per_page for pagination — default is 30, max is 100#!/bin/bash
PIPELINE="${1:?Pipeline slug required}"
echo "=== Recent Builds ==="
buildkite_api GET "organizations/${BK_ORG}/pipelines/${PIPELINE}/builds?per_page=15" | jq -r '
.[] | "\(#\(.number))\t\(.state)\t\(.branch)\t\(.created_at[0:16])\t\(.creator.name // "api")"
' | column -t
echo ""
echo "=== Build State Summary ==="
buildkite_api GET "organizations/${BK_ORG}/pipelines/${PIPELINE}/builds?per_page=50" | jq '{
total: length,
passed: [.[] | select(.state == "passed")] | length,
failed: [.[] | select(.state == "failed")] | length,
running: [.[] | select(.state == "running")] | length,
canceled: [.[] | select(.state == "canceled")] | length,
blocked: [.[] | select(.state == "blocked")] | length
}'
#!/bin/bash
PIPELINE="${1:?Pipeline slug required}"
BUILD_NUMBER="${2:?Build number required}"
echo "=== Build Jobs ==="
buildkite_api GET "organizations/${BK_ORG}/pipelines/${PIPELINE}/builds/${BUILD_NUMBER}" | jq -r '
.jobs[] | select(.type == "script") |
"\(.name // .command[0:40])\t\(.state)\t\(.agent.name // "unassigned")\t\(.started_at[0:16] // "pending")"
' | column -t
echo ""
echo "=== Failed Jobs ==="
buildkite_api GET "organizations/${BK_ORG}/pipelines/${PIPELINE}/builds/${BUILD_NUMBER}" | jq -r '
.jobs[] | select(.state == "failed") |
"Job: \(.name // .command[0:50])\nExit: \(.exit_status)\nAgent: \(.agent.name // "unknown")\n---"
'
echo ""
echo "=== Failed Job Log (tail) ==="
FAILED_JOB_ID=$(buildkite_api GET "organizations/${BK_ORG}/pipelines/${PIPELINE}/builds/${BUILD_NUMBER}" | jq -r '.jobs[] | select(.state == "failed") | .id' | head -1)
if [ -n "$FAILED_JOB_ID" ]; then
buildkite_api GET "organizations/${BK_ORG}/pipelines/${PIPELINE}/builds/${BUILD_NUMBER}/jobs/${FAILED_JOB_ID}/log" | jq -r '.content' | tail -50
fi
#!/bin/bash
echo "=== All Agents ==="
buildkite_api GET "organizations/${BK_ORG}/agents?per_page=50" | jq -r '
.[] | "\(.name)\t\(.connection_state)\t\(.ip_address)\t\(.hostname)\tversion=\(.version)\tjob=\(.job.id // "idle")"
' | column -t
echo ""
echo "=== Agents by Queue ==="
buildkite_api GET "organizations/${BK_ORG}/agents?per_page=100" | jq -r '
group_by(.metadata // [] | map(select(startswith("queue="))) | .[0] // "default") |
.[] | "\(.[0].metadata // [] | map(select(startswith("queue="))) | .[0] // "default")\t\(length) agents\t\([.[] | select(.connection_state == "connected")] | length) connected"
' | column -t
echo ""
echo "=== Disconnected Agents ==="
buildkite_api GET "organizations/${BK_ORG}/agents?per_page=50" | jq -r '
.[] | select(.connection_state != "connected") |
"\(.name)\t\(.connection_state)\tlast_seen=\(.lost_at[0:16] // "unknown")"
' | column -t
#!/bin/bash
PIPELINE="${1:?Pipeline slug required}"
BUILD_NUMBER="${2:?Build number required}"
echo "=== Build Artifacts ==="
buildkite_api GET "organizations/${BK_ORG}/pipelines/${PIPELINE}/builds/${BUILD_NUMBER}/artifacts" | jq -r '
.[] | "\(.filename)\tsize=\(.file_size / 1024 | floor)KB\t\(.state)\tjob=\(.job_id[0:8])"
' | column -t
echo ""
echo "=== Download URL ==="
ARTIFACT_ID="${3:-}"
if [ -n "$ARTIFACT_ID" ]; then
buildkite_api GET "organizations/${BK_ORG}/pipelines/${PIPELINE}/builds/${BUILD_NUMBER}/artifacts/${ARTIFACT_ID}/download" | jq '.url'
fi
#!/bin/bash
PIPELINE="${1:?Pipeline slug required}"
BUILD_NUMBER="${2:?Build number required}"
echo "=== Build Annotations ==="
buildkite_api GET "organizations/${BK_ORG}/pipelines/${PIPELINE}/builds/${BUILD_NUMBER}/annotations" | jq -r '
.[] | "\(.context)\t\(.style)\t\(.body_html[0:80])"
' | column -t
Present results as a structured report:
Managing Buildkite 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 |
scheduled, running, passed, failed, blocked, canceled, canceling, skipping, not_runblocked state require manual unblock — they are intentional gatesqueue=deploy) not a dedicated fieldbuildkite-agent pipeline upload can modify pipeline at runtime — YAML may not reflect actual steps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。