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 Cost Management — azure Cost Management cost analysis, budget tracking, Advisor cost recommendations, export management, and spending trend analysis via Azure CLI.
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 Azure costs and budgets using az costmanagement and az consumption commands.
ALWAYS discover before acting. Never assume budget names, subscription IDs, or resource group names. Always verify the scope and time range before querying costs.
# Get current subscription context
az account show --output json --query "{name:name, id:id, tenantId:tenantId}"
# List resource groups (common cost grouping)
az group list --output json --query "[].{name:name, location:location}"
ALL independent operations MUST run in parallel using background jobs (&) and wait.
for rg in $(az group list --query "[].name" -o tsv); do
{
az costmanagement query --type ActualCost --scope "subscriptions/$SUB_ID/resourceGroups/$rg" \
--timeframe MonthToDate --output json 2>/dev/null
} &
done
wait
# Query costs by dimension
query_costs() {
local scope="$1" timeframe="$2" grouping="$3"
az costmanagement query --type ActualCost --scope "$scope" \
--timeframe "$timeframe" \
--dataset-grouping name="$grouping" type=Dimension \
--output json
}
# Get cost for a specific time range
query_cost_range() {
local scope="$1" from="$2" to="$3" grouping="$4"
az costmanagement query --type ActualCost --scope "$scope" \
--timeframe Custom --time-period from="$from" to="$to" \
--dataset-grouping name="$grouping" type=Dimension \
--output json
}
# List budgets
list_budgets() {
local scope="$1"
az consumption budget list --output json \
--query "[].{name:name, amount:amount, timeGrain:timeGrain, currentSpend:currentSpend.amount, currency:currentSpend.unit, notifications:notifications}"
}
# Get Advisor cost recommendations
get_cost_recommendations() {
az advisor recommendation list --category Cost --output json \
--query "[].{impact:impact, category:category, problem:shortDescription.problem, solution:shortDescription.solution, resourceId:resourceMetadata.resourceId, savingsAmount:extendedProperties.savingsAmount, savingsCurrency:extendedProperties.savingsCurrency}"
}
sub_id=$(az account show --query "id" -o tsv)
scope="subscriptions/$sub_id"
# Current month costs by service
query_costs "$scope" "MonthToDate" "ServiceName"
# Current month costs by resource group
query_costs "$scope" "MonthToDate" "ResourceGroup"
# Last month total
query_costs "$scope" "TheLastMonth" "ServiceName"
# List all budgets with current spend
list_budgets "subscriptions/$sub_id"
# Check budget alerts
az consumption budget list --output json \
--query "[].{name:name, amount:amount, currentSpend:currentSpend.amount, percentUsed:currentSpend.amount / amount * 100, notifications:notifications | keys(@)}"
# Daily cost trend for the last 30 days
end_date=$(date +%Y-%m-%d)
start_date=$(date -v-30d +%Y-%m-%d 2>/dev/null || date -d '30 days ago' +%Y-%m-%d)
az costmanagement query --type ActualCost --scope "subscriptions/$sub_id" \
--timeframe Custom --time-period from="$start_date" to="$end_date" \
--dataset-aggregation "{totalCost:{name:Cost,function:Sum}}" \
--dataset-grouping name=ServiceName type=Dimension \
--output json
# Compare current month to last month
query_costs "subscriptions/$sub_id" "MonthToDate" "ServiceName"
query_costs "subscriptions/$sub_id" "TheLastMonth" "ServiceName"
# Get all cost saving recommendations
get_cost_recommendations
# Filter high-impact recommendations
az advisor recommendation list --category Cost --output json \
--query "[?impact=='High'].{problem:shortDescription.problem, solution:shortDescription.solution, savings:extendedProperties.savingsAmount, resource:resourceMetadata.resourceId}"
# List scheduled exports
az costmanagement export list --scope "subscriptions/$sub_id" --output json \
--query "[].{name:name, status:deliveryInfo.destination, schedule:schedule.recurrence, format:format, timeframe:definition.timeframe}"
# Check last export execution
for export_name in $(az costmanagement export list --scope "subscriptions/$sub_id" --query "[].name" -o tsv); do
{
az costmanagement export show --scope "subscriptions/$sub_id" --name "$export_name" --output json
} &
done
wait
Present results as a structured report:
Azure Cost Management 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 |
az consumption marketplace list for marketplace-specific costs.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。