Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.
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Use when working with Aws Guardduty — aWS GuardDuty finding analysis, detector management, suppression rule review, and member account oversight. Covers threat detection summary, finding severity distribution, finding type breakdown, trusted IP lists, and organization-wide security posture.
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 GuardDuty findings and detectors with parallel execution and anti-hallucination guardrails.
Relationship to other AWS skills:
aws-guardduty/ → GuardDuty-specific analysis (findings, detectors, suppression)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 detector_id in $detectors; do
get_detector_findings "$detector_id" &
done
wait
#!/bin/bash
export AWS_PAGER=""
# List detectors
list_detectors() {
aws guardduty list-detectors --output text --query 'DetectorIds[]'
}
# Get detector details
get_detector() {
local detector_id=$1
aws guardduty get-detector --detector-id "$detector_id" \
--output text \
--query '[Status,FindingPublishingFrequency,DataSources.S3Logs.Status,DataSources.CloudTrail.Status,DataSources.DNSLogs.Status]'
}
# List findings with criteria
list_findings() {
local detector_id=$1
aws guardduty list-findings --detector-id "$detector_id" \
--finding-criteria '{"Criterion":{"service.archived":{"Eq":["false"]}}}' \
--sort-criteria '{"AttributeName":"severity","OrderBy":"DESC"}' \
--max-results 50 \
--output text --query 'FindingIds[]'
}
# Get finding details (batch)
get_findings() {
local detector_id=$1
shift
local finding_ids="$@"
aws guardduty get-findings --detector-id "$detector_id" --finding-ids $finding_ids \
--output text \
--query 'Findings[].[Id,Type,Severity,Title,Description,UpdatedAt]'
}
# List member accounts
list_members() {
local detector_id=$1
aws guardduty list-members --detector-id "$detector_id" \
--output text \
--query 'Members[].[AccountId,Email,RelationshipStatus,DetectorId,InvitedAt]'
}
#!/bin/bash
export AWS_PAGER=""
DETECTORS=$(aws guardduty list-detectors --output text --query 'DetectorIds[]')
for det in $DETECTORS; do
aws guardduty get-detector --detector-id "$det" \
--output text \
--query "[\"$det\",Status,FindingPublishingFrequency,CreatedAt]" &
done
wait
#!/bin/bash
export AWS_PAGER=""
DETECTOR=$(aws guardduty list-detectors --output text --query 'DetectorIds[0]')
FINDING_IDS=$(aws guardduty list-findings --detector-id "$DETECTOR" \
--finding-criteria '{"Criterion":{"service.archived":{"Eq":["false"]}}}' \
--max-results 50 --output text --query 'FindingIds[]')
[ -z "$FINDING_IDS" ] && echo "No active findings" && exit 0
aws guardduty get-findings --detector-id "$DETECTOR" --finding-ids $FINDING_IDS \
--output text \
--query 'Findings[].[Severity,Type]' \
| awk '{sev=$1; if(sev>=7) level="HIGH"; else if(sev>=4) level="MEDIUM"; else level="LOW"; print level "\t" $2}' \
| sort | uniq -c | sort -rn
#!/bin/bash
export AWS_PAGER=""
DETECTOR=$(aws guardduty list-detectors --output text --query 'DetectorIds[0]')
FINDING_IDS=$(aws guardduty list-findings --detector-id "$DETECTOR" \
--finding-criteria '{"Criterion":{"service.archived":{"Eq":["false"]}}}' \
--max-results 50 --output text --query 'FindingIds[]')
[ -z "$FINDING_IDS" ] && echo "No active findings" && exit 0
aws guardduty get-findings --detector-id "$DETECTOR" --finding-ids $FINDING_IDS \
--output text \
--query 'Findings[].Type' | tr '\t' '\n' | sort | uniq -c | sort -rn
#!/bin/bash
export AWS_PAGER=""
DETECTOR=$(aws guardduty list-detectors --output text --query 'DetectorIds[0]')
aws guardduty list-filters --detector-id "$DETECTOR" \
--output text \
--query 'FilterNames[]'
FILTERS=$(aws guardduty list-filters --detector-id "$DETECTOR" --output text --query 'FilterNames[]')
for filter in $FILTERS; do
aws guardduty get-filter --detector-id "$DETECTOR" --filter-name "$filter" \
--output text \
--query '[Name,Action,Rank,FindingCriteria]' &
done
wait
#!/bin/bash
export AWS_PAGER=""
DETECTOR=$(aws guardduty list-detectors --output text --query 'DetectorIds[0]')
aws guardduty list-members --detector-id "$DETECTOR" \
--output text \
--query 'Members[].[AccountId,Email,RelationshipStatus,UpdatedAt]'
list-findings returns IDs only. You must call get-findings with those IDs to get details.list-findings may include archived findings. Always filter with service.archived Eq false for active findings.list-detectors returns 0 or 1 IDs.Present results as a structured report:
Aws Guardduty 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 |
get-findings accepts max 50 finding IDs per call. Chunk larger lists.Criterion with Eq, Neq, Gt, Gte, Lt, Lte operators. Syntax is JSON, not JMESPath.--statistics Average Maximum.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.
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中文简介正在准备中。当前显示原文说明。
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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。