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 Azure Functions Deep — deep Azure Functions analysis covering function app inventory, trigger types, execution metrics, scaling behavior, slot deployments, application insights integration, and consumption plan cost tracking. Provides optimization guidance for cold starts and memory usage.
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。
Comprehensive Azure Functions analysis with performance profiling and cost optimization.
#!/bin/bash
echo "=== Function Apps Inventory ==="
az functionapp list --output json \
| jq -r '.[] | "\(.name)\t\(.resourceGroup)\t\(.kind)\t\(.state)\t\(.defaultHostName)"' \
| column -t | head -20
echo ""
echo "=== Function App Runtimes & Plans ==="
for APP in $(az functionapp list --query '[].name' -o tsv); do
RG=$(az functionapp show --name "$APP" --query 'resourceGroup' -o tsv)
RUNTIME=$(az functionapp config show --name "$APP" --resource-group "$RG" --query 'linuxFxVersion || netFrameworkVersion' -o tsv 2>/dev/null)
PLAN=$(az functionapp show --name "$APP" --resource-group "$RG" --query 'appServicePlanId' -o tsv | rev | cut -d'/' -f1 | rev)
SKU=$(az appservice plan show --name "$PLAN" --resource-group "$RG" --query 'sku.name' -o tsv 2>/dev/null)
echo -e "${APP}\t${RUNTIME:-N/A}\t${PLAN}\t${SKU:-Consumption}"
done | column -t
echo ""
echo "=== Individual Functions & Triggers ==="
for APP in $(az functionapp list --query '[].name' -o tsv); do
RG=$(az functionapp show --name "$APP" --query 'resourceGroup' -o tsv)
az functionapp function list --name "$APP" --resource-group "$RG" --output json \
| jq -r ".[] | \"${APP}\t\(.name)\t\(.config.bindings[0].type // \"unknown\")\"" 2>/dev/null
done | column -t | head -30
echo ""
echo "=== Deployment Slots ==="
for APP in $(az functionapp list --query '[].name' -o tsv); do
RG=$(az functionapp show --name "$APP" --query 'resourceGroup' -o tsv)
az functionapp deployment slot list --name "$APP" --resource-group "$RG" \
--query '[].{name:name,state:state}' -o tsv 2>/dev/null
done
#!/bin/bash
echo "=== Execution Metrics (Application Insights) ==="
for APP in $(az functionapp list --query '[].name' -o tsv); do
RG=$(az functionapp show --name "$APP" --query 'resourceGroup' -o tsv)
AI_KEY=$(az functionapp config appsettings list --name "$APP" --resource-group "$RG" \
--query "[?name=='APPINSIGHTS_INSTRUMENTATIONKEY'].value" -o tsv 2>/dev/null)
if [ -n "$AI_KEY" ]; then
echo "${APP}: App Insights connected"
else
echo "${APP}: NO App Insights configured"
fi
done
echo ""
echo "=== Function App Health ==="
for APP in $(az functionapp list --query '[].name' -o tsv); do
STATUS=$(curl -s -o /dev/null -w "%{http_code}" "https://${APP}.azurewebsites.net/api/health" 2>/dev/null)
echo "${APP}: HTTP ${STATUS}"
done
echo ""
echo "=== App Settings Audit (non-secret) ==="
for APP in $(az functionapp list --query '[].name' -o tsv); do
RG=$(az functionapp show --name "$APP" --query 'resourceGroup' -o tsv)
RUNTIME_VER=$(az functionapp config appsettings list --name "$APP" --resource-group "$RG" \
--query "[?name=='FUNCTIONS_EXTENSION_VERSION'].value" -o tsv 2>/dev/null)
WORKER_RT=$(az functionapp config appsettings list --name "$APP" --resource-group "$RG" \
--query "[?name=='FUNCTIONS_WORKER_RUNTIME'].value" -o tsv 2>/dev/null)
echo "${APP}: runtime=${WORKER_RT:-N/A} version=${RUNTIME_VER:-N/A}"
done
echo ""
echo "=== Scale Settings ==="
for APP in $(az functionapp list --query '[].name' -o tsv); do
RG=$(az functionapp show --name "$APP" --query 'resourceGroup' -o tsv)
az functionapp show --name "$APP" --resource-group "$RG" \
--query '{name:name, maxWorkers:siteConfig.functionAppScaleLimit, alwaysOn:siteConfig.alwaysOn, minInstances:siteConfig.minimumElasticInstanceCount}' -o json 2>/dev/null
done
AZURE FUNCTIONS DEEP ANALYSIS
===============================
App Plan Runtime Version Functions Slots Insights
──────────────────────────────────────────────────────────────────────────────────
order-api Consumption node:20 ~4 5 0 Yes
payment-proc Premium-EP1 dotnet:8 ~4 3 1 Yes
batch-worker Dedicated-S1 python:3.11 ~4 2 0 No
Triggers: httpTrigger(6) timerTrigger(2) queueTrigger(1) blobTrigger(1)
Scale: 2 apps with alwaysOn | 1 with minInstances
az functionapp list, show, config show operations--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 |
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。