Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
中文简介正在准备中。当前显示原文说明。
Use when working with Aws Cloudwatch Logs — aWS CloudWatch Logs group management, Logs Insights query execution, metric filter analysis, retention policy review, and subscription filter management. Covers log group inventory, storage cost optimization, query patterns, and cross-account log aggregation.
中文简介正在准备中。当前显示原文说明。
安装前可以查看交给 AI 代理的指令内容。
Analyze AWS CloudWatch Logs with parallel execution and anti-hallucination guardrails.
Relationship to other AWS skills:
aws-cloudwatch-logs/ → CloudWatch Logs-specific analysis (log groups, insights, metric filters)aws/ → "How to execute" (parallel patterns, throttling, output format)ALL independent operations MUST run in parallel using background jobs (&) and wait.
#!/bin/bash
export AWS_PAGER=""
for log_group in $log_groups; do
get_log_group_details "$log_group" &
done
wait
#!/bin/bash
export AWS_PAGER=""
# List log groups with size and retention
list_log_groups() {
aws logs describe-log-groups \
--output text \
--query 'logGroups[].[logGroupName,storedBytes,retentionInDays,metricFilterCount]' | head -50
}
# Get log group details
describe_log_group() {
local log_group=$1
aws logs describe-log-groups --log-group-name-prefix "$log_group" \
--output text \
--query 'logGroups[0].[logGroupName,storedBytes,retentionInDays,metricFilterCount,kmsKeyId]'
}
# Run CloudWatch Logs Insights query
run_insights_query() {
local log_group=$1 query=$2 hours=${3:-1}
local end_time start_time
end_time=$(date +%s)
start_time=$((end_time - hours * 3600))
local query_id
query_id=$(aws logs start-query \
--log-group-name "$log_group" \
--start-time "$start_time" --end-time "$end_time" \
--query-string "$query" \
--output text --query 'queryId')
sleep 3
aws logs get-query-results --query-id "$query_id" \
--output text \
--query 'results[][].[field,value]'
}
# List metric filters for a log group
list_metric_filters() {
local log_group=$1
aws logs describe-metric-filters --log-group-name "$log_group" \
--output text \
--query 'metricFilters[].[filterName,filterPattern,metricTransformations[0].metricName,metricTransformations[0].metricNamespace]'
}
# List subscription filters
list_subscriptions() {
local log_group=$1
aws logs describe-subscription-filters --log-group-name "$log_group" \
--output text \
--query 'subscriptionFilters[].[filterName,destinationArn,filterPattern]'
}
#!/bin/bash
export AWS_PAGER=""
aws logs describe-log-groups \
--output text \
--query 'logGroups[].[logGroupName,storedBytes,retentionInDays]' \
| awk '{printf "%s\t%.2f_GB\t%s_days\n", $1, $2/1073741824, ($3=="None"?"NEVER":$3)}' \
| sort -t$'\t' -k2 -rn | head -20
#!/bin/bash
export AWS_PAGER=""
aws logs describe-log-groups \
--output text \
--query 'logGroups[?!retentionInDays].[logGroupName,storedBytes]' \
| awk '{printf "%s\t%.2f_GB\tNO_RETENTION\n", $1, $2/1073741824}' \
| sort -t$'\t' -k2 -rn | head -20
#!/bin/bash
export AWS_PAGER=""
LOG_GROUP=$1
END=$(date +%s)
START=$((END - 86400))
QUERY_ID=$(aws logs start-query \
--log-group-name "$LOG_GROUP" \
--start-time "$START" --end-time "$END" \
--query-string 'fields @timestamp, @message | filter @message like /ERROR|Exception/ | stats count() by bin(1h)' \
--output text --query 'queryId')
sleep 5
aws logs get-query-results --query-id "$QUERY_ID" \
--output text \
--query 'results[][].[field,value]'
#!/bin/bash
export AWS_PAGER=""
LOG_GROUPS=$(aws logs describe-log-groups --output text --query 'logGroups[?metricFilterCount>`0`].logGroupName')
for lg in $LOG_GROUPS; do
aws logs describe-metric-filters --log-group-name "$lg" \
--output text \
--query "metricFilters[].[\"$lg\",filterName,filterPattern]" &
done
wait
#!/bin/bash
export AWS_PAGER=""
LOG_GROUPS=$(aws logs describe-log-groups --output text --query 'logGroups[].logGroupName' | head -50)
for lg in $LOG_GROUPS; do
aws logs describe-subscription-filters --log-group-name "$lg" \
--output text \
--query "subscriptionFilters[].[\"$lg\",filterName,destinationArn]" 2>/dev/null &
done
wait
start-query returns a query ID. You must poll get-query-results until status is "Complete". Allow 3-5 seconds for simple queries.Present results as a structured report:
Aws Cloudwatch Logs 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 |
describe-log-groups returns max 50 groups per page by default. Use --limit and pagination for accounts with many log groups./aws/lambda/, API Gateway uses API-Gateway-Execution-Logs_, ECS uses custom names. Do not assume naming patterns.describe-subscription-filters to detect this.--statistics Average Maximum.limit to control cost.还没有评价。欢迎分享你的使用感受。
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Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
中文简介正在准备中。当前显示原文说明。
Use when working with Alloydb — google AlloyDB instance analysis, query insights, columnar engine optimization, maintenance windows, and cluster health.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
Use when working with Bigquery — google BigQuery job analysis, slot utilization, cost analysis, dataset management, and query optimization.
中文简介正在准备中。当前显示原文说明。
Use when working with Cassandra — apache Cassandra keyspace analysis, compaction strategies, repair status, nodetool operations, and cluster health monitoring.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。