Agent skill

Dt Obs AWS

by Dynatrace in Dynatrace/dynatrace-for-ai

AWS cloud resource monitoring including EC2, RDS, Lambda, ECS/EKS, VPC networking, load balancers, S3, DynamoDB, SQS/SNS, and cost optimization.

Apache-2.0Auto-check passedDevOps & Cloud

Install Dt Obs AWS

skills CLI
$ npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-aws -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Dynatrace/dynatrace-for-ai dt-obs-aws --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dt-obs-aws .claude/skills/dt-obs-aws && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
dt-obs-aws
GitHub stars
163
Token cost
~4.2k tokens
SKILL.md length
1,255 words
Files
14 (incl. references)
Skills in repo
33
Repo updated
First seen
Licence
Apache-2.0

At a glance

AWS cloud resource monitoring including EC2, RDS, Lambda, ECS/EKS, VPC networking, load balancers, S3, DynamoDB, SQS/SNS, and cost optimization.

  • Works in 8 steps: AWS Resource Discovery → VPC Networking Analysis → Database Monitoring → …
  • Analyzing AWS infrastructure
  • SKILL.md covers When to Use This Skill, Core Concepts, Key Workflows and Common Query Patterns, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Dt Obs AWS is an agent skill from Dynatrace/dynatrace-for-ai. AWS cloud resource monitoring including EC2, RDS, Lambda, ECS/EKS, VPC networking, load balancers, S3, DynamoDB, SQS/SNS, and cost optimization. Use when analyzing AWS infrastructure, resource inventory, security compliance, capacity planning, or cost savings. Trigger: "show EC2 instances", "find RDS databases", "VPC resources", "AWS cost optimization", "Lambda functions", "ECS services", "security groups", "unattached EBS volumes", "AWS load balancer topology", "publicly accessible databases", "AWS dashboards"…

Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including reference files (for example `references/capacity-planning.md`, `references/cost-optimization.md` and `references/database-monitoring.md`).

It sits in DevOps & Cloud, covering Cloud networking, Serverless and Cloud cost optimization. It works with Amazon Web Services, AWS Lambda and Amazon DynamoDB. The repository describes itself as: Skills, prompts, and instructions for building AI agents on top of Dynatrace production context. The licence is Apache-2.0.

When your agent uses it

  • Analyzing AWS infrastructure
  • Resource inventory
  • Security compliance
  • Capacity planning

Example prompts

  • “show EC2 instances”
  • “find RDS databases”
  • “VPC resources”
  • “/dt-obs-aws”

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. AWS Resource Discovery
  2. VPC Networking Analysis
  3. Database Monitoring
  4. Serverless and Container Workloads
  5. Load Balancer Topology
  6. Cost Optimization
  7. Security and Compliance
  8. Resource Ownership and Tagging

What it can do on your machine

Read from SKILL.md and the folder at commit 4f9aa71. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are dql).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dt Obs AWS loads about 4.2k tokens when it runs, and up to ~30k if it reads all its reference files. Until then it costs about 185 tokens; SKILL.md has 1,255 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~185
When it runs · the whole SKILL.md, loaded when a task matches
~4.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~30k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Dynatrace/dynatrace-for-ai at commit 4f9aa71, republished under its Apache-2.0 licence (© Dynatrace). 1,255 words, ~4,247 tokens.

Download SKILL.mdSave it as .claude/skills/dt-obs-aws/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.
name
dt-obs-aws
description
AWS cloud resource monitoring including EC2, RDS, Lambda, ECS/EKS, VPC networking, load balancers, S3, DynamoDB, SQS/SNS, and cost optimization. Use when analyzing AWS infrastructure, resource inventory, security compliance, capacity planning, or cost savings. Trigger: "show EC2 instances", "find RDS databases", "VPC resources", "AWS cost optimization", "Lambda functions", "ECS services", "security groups", "unattached EBS volumes", "AWS load balancer topology", "publicly accessible databases", "AWS dashboards". Do NOT use for explaining existing queries, product documentation questions, generic host CPU/memory metrics (use dt-obs-hosts), application-level tracing (use dt-obs-tracing), or log analysis (use dt-obs-logs).
license
Apache-2.0

AWS Cloud Infrastructure

Monitor and analyze AWS resources using Dynatrace Smartscape and DQL. Query AWS services, optimize costs, manage security, and plan capacity across your AWS infrastructure.

When to Use This Skill

Use this skill when the user needs to work with AWS resources in Dynatrace. Load the reference file for the task type:

  • Inventory: "Show me all EC2 instances in us-east-1"
  • Network: "Find all resources in VPC vpc-abc123"
  • Database: "List all RDS instances with Multi-AZ enabled"
  • Serverless: "Show Lambda functions with VPC access"
  • Cost: "Find unattached EBS volumes for cost savings"
  • Security: "Identify publicly accessible databases"
  • Compliance: "Find resources missing Environment tags"
  • Capacity: "Analyze subnet IP utilization"
  • Troubleshoot: "Map load balancer to instances through target groups"
  • Problem Analysis: "What changed before this AWS problem?" / "What events affected this resource?"
  • Workload Context: "Is this instance behind a load balancer, in an EKS cluster, or managed by ECS?"
  • Events: "Have there been any recent events in AWS affecting this resource?"

Core Concepts

Entity Types

AWS resources use the AWS_* prefix and can be queried using the smartscapeNodes function. All AWS entities are automatically discovered and modeled in Dynatrace Smartscape.

Compute: AWS_EC2_INSTANCE, AWS_LAMBDA_FUNCTION, AWS_ECS_CLUSTER, AWS_ECS_SERVICE, AWS_EKS_CLUSTER Networking: AWS_EC2_VPC, AWS_EC2_SUBNET, AWS_EC2_SECURITYGROUP, AWS_EC2_NATGATEWAY, AWS_EC2_VPCENDPOINT Database: AWS_RDS_DBINSTANCE, AWS_RDS_DBCLUSTER, AWS_DYNAMODB_TABLE, AWS_ELASTICACHE_CACHECLUSTER Storage: AWS_S3_BUCKET, AWS_EC2_VOLUME, AWS_EFS_FILESYSTEM Load Balancing: AWS_ELASTICLOADBALANCINGV2_LOADBALANCER, AWS_ELASTICLOADBALANCINGV2_TARGETGROUP Messaging: AWS_SQS_QUEUE, AWS_SNS_TOPIC, AWS_EVENTS_EVENTBUS, AWS_MSK_CLUSTER

Common AWS Fields

All AWS entities include:

  • aws.account.id - AWS account identifier
  • aws.region - AWS region (e.g., us-east-1)
  • aws.resource.id - Unique resource identifier
  • aws.resource.name - Resource name
  • aws.arn - Amazon Resource Name
  • aws.vpc.id - VPC identifier (for VPC-attached resources)
  • aws.subnet.id - Subnet identifier
  • aws.availability_zone - Availability zone
  • aws.security_group.id - Security group IDs (array)
  • tags - Resource tags (use tags[TagName])
AWS Fields on Logs and Bizevents

AWS-originated logs (fetch logs) carry these fields — no exploration needed:

  • aws.region, aws.account.id, aws.service, aws.log_group, aws.log_stream
  • Plus standard log fields: content, loglevel, timestamp, k8s.*, dt.smartscape.*

AWS-originated bizevents (fetch bizevents) carry:

  • aws.region, aws.account.id, event.type, event.provider

Use filter isNotNull(aws.region) to scope to AWS-originated records.

Relationship Types

AWS entities use these relationship types:

  • is_attached_to - Exclusive attachment (e.g., volume to instance)
  • uses - Dependency relationship (e.g., instance uses security group)
  • runs_on - Vertical relationship (e.g., instance runs on AZ)
  • is_part_of - Composition (e.g., instance in cluster)
  • belongs_to - Aggregation (e.g., service belongs to cluster)
  • balances - Load balancing (e.g., target group balances instances)
  • balanced_by - Inverse load-balancing relationship (e.g., load balancer balanced by target group)
AWS Metric Key Naming Convention

Dynatrace ingests AWS CloudWatch metrics using this pattern:

cloud.aws.<service>.<MetricName>.By.<DimensionName>

The <service> is the lowercase AWS service name, <MetricName> is the CloudWatch metric name (case-preserved), and <DimensionName> is the CloudWatch dimension.

Examples: cloud.aws.ec2.CPUUtilization.By.InstanceId, cloud.aws.lambda.Invocations.By.FunctionName, cloud.aws.rds.CPUUtilization.By.DBInstanceIdentifier

Use timeseries, not fetch, for these metrics. Group by dt.smartscape_source.id to split by entity.

→ See references/metrics-performance.md for the complete metric catalog by service with DQL query templates.


Key Workflows

1. AWS Resource Discovery

Get all AWS resources by type:

dql
smartscapeNodes "AWS_*"
| summarize count = count(), by: {type}
| sort count desc

Filter by account and region:

dql
smartscapeNodes "AWS_*"
| filter aws.account.id == "123456789012" and aws.region == "us-east-1"
| fields type, name, aws.resource.id

Using tags for filtering:

dql
smartscapeNodes "AWS_*"
| filter tags[Environment] == "production"
| summarize count = count(), by: {type, aws.region}

→ For complete resource inventory patterns, see references/resource-management.md

2. VPC Networking Analysis

List all VPCs:

dql
smartscapeNodes "AWS_EC2_VPC"
| fields name, aws.account.id, aws.region, aws.vpc.id

Find resources in a VPC:

dql
smartscapeNodes "AWS_*"
| filter aws.vpc.id == "vpc-0be61db7c5d2d1bd1"
| summarize resource_count = count(), by: {type, aws.subnet.id}
| sort resource_count desc

Analyze security group usage:

dql
smartscapeNodes "AWS_EC2_INSTANCE"
| filter contains(aws.security_group.id, "sg-abc123")
| fields name, aws.resource.id, aws.vpc.id, aws.subnet.id

→ For VPC networking, see references/vpc-networking-security.md
→ For security group patterns, see references/security-compliance.md

3. Database Monitoring

List all RDS instances:

dql
smartscapeNodes "AWS_RDS_DBINSTANCE"
| fields name, aws.account.id, aws.region, aws.vpc.id, aws.availability_zone

Find Multi-AZ databases:

dql
smartscapeNodes "AWS_RDS_DBINSTANCE"
| parse aws.object, "JSON:awsjson"
| fieldsAdd multiAZ = awsjson[configuration][multiAZ]
| filter multiAZ == true
| fields name, aws.resource.id, aws.region

Group by engine type:

dql
smartscapeNodes "AWS_RDS_DBINSTANCE"
| parse aws.object, "JSON:awsjson"
| fieldsAdd engine = awsjson[configuration][engine]
| summarize db_count = count(), by: {engine, aws.region}
| sort db_count desc

→ For database monitoring, see references/database-monitoring.md

4. Serverless and Container Workloads

List Lambda functions:

dql
smartscapeNodes "AWS_LAMBDA_FUNCTION"
| fields name, aws.account.id, aws.region, aws.vpc.id

Find ECS services in a cluster:

dql
smartscapeNodes "AWS_ECS_SERVICE"
| traverse "belongs_to", "AWS_ECS_CLUSTER"
| fields name, aws.resource.id, aws.region

List EKS clusters:

dql
smartscapeNodes "AWS_EKS_CLUSTER"
| fields name, aws.account.id, aws.region, aws.vpc.id

→ For serverless, see references/serverless-containers.md
→ For containers, see references/serverless-containers.md

5. Load Balancer Topology

Complete load balancer to instance mapping:

dql
smartscapeNodes "AWS_ELASTICLOADBALANCINGV2_LOADBALANCER"
| parse aws.object, "JSON:awsjson"
| fieldsAdd dnsName = awsjson[configuration][dnsName], scheme = awsjson[configuration][scheme]
| filter scheme == "internet-facing"
| traverse "balanced_by", "AWS_ELASTICLOADBALANCINGV2_TARGETGROUP", direction:backward, fieldsKeep:{dnsName, id}
| fieldsAdd targetGroupName = aws.resource.name
| traverse "balances", "AWS_EC2_INSTANCE", fieldsKeep: {targetGroupName, id}
| fieldsAdd loadBalancerDnsName = dt.traverse.history[-2][dnsName],
            loadBalancerId = dt.traverse.history[-2][id],
            targetGroupId = dt.traverse.history[-1][id]

→ For load balancing, see references/load-balancing-api.md

6. Cost Optimization

Find unattached EBS volumes:

dql
smartscapeNodes "AWS_EC2_VOLUME"
| parse aws.object, "JSON:awsjson"
| fieldsAdd state = awsjson[configuration][state]
| filter state == "available"
| fields name, aws.resource.id, aws.availability_zone, aws.account.id

Analyze EBS costs by type:

dql
smartscapeNodes "AWS_EC2_VOLUME"
| parse aws.object, "JSON:awsjson"
| fieldsAdd volumeType = awsjson[configuration][volumeType],
            size = awsjson[configuration][size],
            state = awsjson[configuration][state]
| summarize total_volumes = count(), total_size_gb = sum(size), by: {volumeType, state}
| sort total_size_gb desc

→ For cost optimization, see references/cost-optimization.md

7. Security and Compliance

Find publicly accessible databases:

dql
smartscapeNodes "AWS_RDS_DBINSTANCE"
| parse aws.object, "JSON:awsjson"
| fieldsAdd publiclyAccessible = awsjson[configuration][publiclyAccessible]
| filter publiclyAccessible == true
| fields name, aws.resource.id, aws.vpc.id, aws.account.id

Security group blast radius:

dql
smartscapeNodes "AWS_EC2_INSTANCE"
| traverse "uses", "AWS_EC2_SECURITYGROUP"
| summarize instance_count = count(), by: {aws.resource.name, aws.vpc.id}
| sort instance_count desc
| limit 20

→ For security, see references/security-compliance.md

8. Resource Ownership and Tagging

Find untagged resources:

dql
smartscapeNodes "AWS_*"
| filter isNull(tags)
| fields type, name, aws.resource.id, aws.account.id, aws.region

Cost allocation by cost center:

dql
smartscapeNodes "AWS_*"
| filter isNotNull(tags[CostCenter])
| summarize resource_count = count(), by: {tags[CostCenter], type}
| sort resource_count desc

→ For resource ownership, see references/resource-ownership.md


Common Query Patterns

PatternTemplate
DiscoverysmartscapeNodes "AWS_*" | fieldsAdd <attrs> | filter <cond> | summarize <agg>
Config parsingsmartscapeNodes "AWS_<T>" | parse aws.object, "JSON:awsjson" | fieldsAdd f = awsjson[configuration][field]
TraversalsmartscapeNodes "AWS_<SRC>" | traverse "<rel>", "AWS_<TGT>"
Multi-typesmartscapeNodes "AWS_T1", "AWS_T2" | filter <cond> | summarize count(), by: {type}

Best Practices

Query Optimization
  1. Filter early by account and region
  2. Use specific entity types (avoid "AWS_*" wildcards when possible)
  3. Limit results with | limit N for exploration
  4. Use isNotNull() checks before accessing nested fields
Configuration Parsing
  1. Always parse aws.object with JSON parser: parse aws.object, "JSON:awsjson"
  2. Use consistent field naming: fieldsAdd configField = awsjson[configuration][field]
  3. Check for null values after parsing
  4. Use toString() for complex nested objects
Security Fields
  1. Security group IDs are arrays - use contains() or expand
  2. Parse aws.object for detailed security context
  3. Check publiclyAccessible, storageEncrypted, and similar flags
  4. Validate IAM role assumptions
Show full SKILL.md (506 more words)Show less
Tagging Strategy
  1. Use tags[TagName] for filtering by specific tag value
  2. tags is a JSON object, not an array — use isNull(tags) for untagged resources, never arraySize(tags)
  3. Use isNull(tags[TagName]) to find resources missing a specific tag
  4. Implement consistent tag naming conventions
  5. Track tag coverage with summarize operations

Limitations and Notes

Smartscape Limitations
  • AWS object configuration requires parsing with parse aws.object, "JSON:awsjson"
  • AWS metrics are available as Dynatrace metrics using the cloud.aws.* naming convention (see AWS Metric Naming Convention)
  • Resource discovery depends on AWS integration configuration
  • Tag synchronization may have slight delays
Relationship Traversal
  • Use direction:backward for reverse relationships (e.g., target group → load balancer)
  • Use fieldsKeep to maintain important fields through traversal
  • Access traversal history with dt.traverse.history[-N]
  • Complex topologies may require multiple traverse operations
General Tips
  • Use getNodeName() for human-readable resource names
  • Handle null values gracefully with isNotNull() and isNull()
  • Combine region and account filters for large environments
  • Use countDistinct() for unique resource counts

When to Load References

This skill uses progressive disclosure. Start here for 80% of use cases. Load reference files for detailed specifications when needed.

Load vpc-networking-security.md when:
  • Analyzing VPC topology and connectivity
  • Investigating security group configurations
  • Finding resources by security group
  • Troubleshooting network interface issues
Load database-monitoring.md when:
  • Managing RDS instances and clusters
  • Analyzing database engine distributions
  • Checking Multi-AZ configurations
  • Monitoring cache clusters
Load serverless-containers.md when:
  • Working with Lambda functions
  • Analyzing ECS/EKS deployments
  • Investigating container networking
  • Planning serverless migrations
Load load-balancing-api.md when:
  • Mapping load balancer topologies
  • Analyzing target group health
  • Working with API Gateway
  • Configuring CloudFront
Load messaging-event-streaming.md when:
  • Managing SQS queues and SNS topics
  • Analyzing EventBridge event buses
  • Working with Kinesis or MSK
  • Monitoring Step Functions
Load resource-management.md when:
  • Conducting resource audits
  • Analyzing tag compliance
  • Finding unattached resources
  • Planning regional distribution
Load cost-optimization.md when:
  • Identifying cost savings opportunities
  • Analyzing storage costs
  • Finding unused resources
  • Optimizing instance types
Load capacity-planning.md when:
  • Planning capacity expansions
  • Analyzing resource utilization
  • Monitoring subnet IP usage
  • Sizing auto-scaling groups
Load security-compliance.md when:
  • Conducting security audits
  • Checking encryption status
  • Analyzing IAM roles
  • Finding public resources
Load resource-ownership.md when:
  • Implementing chargeback
  • Tracking resource ownership
  • Allocating costs by team
  • Managing multi-account environments
Load events.md when:
  • Investigating what changed before or during a problem
  • Checking for recent CloudFormation stack deployments
  • Reviewing AWS Auto Scaling activity (scale-in/scale-out)
  • Checking AWS Health service events affecting a resource
Load workload-detection.md when:
  • Determining how an EC2 instance is orchestrated (ECS, EKS, Batch, ASG, standalone)
  • Following a resolution path that depends on the workload pattern
  • Understanding the blast radius of an instance failure

References


© Dynatrace, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 13 other files (references) in skills/dt-obs-aws of Dynatrace/dynatrace-for-ai.

  • SKILL.md
  • references/capacity-planning.md
  • references/cost-optimization.md
  • references/database-monitoring.md
  • references/events.md
  • references/load-balancing-api.md
  • references/messaging-event-streaming.md
  • references/metrics-performance.md
  • references/resource-management.md
  • references/resource-ownership.md
  • references/security-compliance.md
  • references/serverless-containers.md
  • references/vpc-networking-security.md
  • references/workload-detection.md

Open the folder on GitHubat commit 4f9aa71

Compare with similar skills

Dt Obs AWS next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Dt Obs AWS compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dt Obs AWS this skillDynatrace/dynatrace-for-ai163—~4.2kAutomated safety check: PassApache-2.0
AWS Lambda Managed Instancesaws/agent-toolkit-for-aws2.8k—~3.7kAutomated safety check: PassApache-2.0
AWS Advisordiegosouzapw/awesome-omni-skills159—~4.3kAutomated safety check: PassMIT
AWS Serverlessdavila7/claude-code-templates33k7 repos~2kAutomated safety check: PassMIT
AWS Solution Architectborghei/Claude-Skills891—~1.8kAutomated safety check: PassMIT
AWS Solution Architectalirezarezvani/claude-skills28k1 repos~2.5kAutomated safety check: PassMIT

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Categories

Questions about Dt Obs AWS

What does Dt Obs AWS do?

AWS cloud resource monitoring including EC2, RDS, Lambda, ECS/EKS, VPC networking, load balancers, S3, DynamoDB, SQS/SNS, and cost optimization. Dt Obs AWS is an agent skill from Dynatrace/dynatrace-for-ai. AWS cloud resource monitoring including EC2, RDS, Lambda, ECS/EKS, VPC networking, load balancers, S3, DynamoDB, SQS/SNS, and cost optimization.

When should I use Dt Obs AWS?

Dt Obs AWS fits situations like: analyzing AWS infrastructure; resource inventory; security compliance; capacity planning.

How do I install Dt Obs AWS in Claude Code?

Run `npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-aws -a claude-code`. Or copy the skill folder (skills/dt-obs-aws in Dynatrace/dynatrace-for-ai) into .claude/skills/dt-obs-aws in your project. Claude Code loads it when a task matches its description.

How do I install Dt Obs AWS in Codex?

Run `npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-aws -a codex`. Or copy the skill folder (skills/dt-obs-aws in Dynatrace/dynatrace-for-ai) into .agents/skills/dt-obs-aws in your project. Codex loads it when a task matches its description.

Can I use Dt Obs AWS in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-aws -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dt-obs-aws, .gemini/skills/dt-obs-aws, .github/skills/dt-obs-aws and .opencode/skills/dt-obs-aws in your project.

What does Dt Obs AWS need to run?

SKILL.md names no scripts, command-line tools or credentials: Dt Obs AWS is instructions for the agent only.

Does Dt Obs AWS access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Dt Obs AWS safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Dt Obs AWS use?

Dt Obs AWS is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dt Obs AWS use?

About 4.2k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 26k tokens, read only when the agent opens those files.

What are the alternatives to Dt Obs AWS?

Skills that share tags, products or a category with Dt Obs AWS: AWS Lambda Managed Instances (aws/agent-toolkit-for-aws, 2.8k stars), AWS Advisor (diegosouzapw/awesome-omni-skills, 159 stars), AWS Serverless (davila7/claude-code-templates, 33k stars) and AWS Solution Architect (borghei/Claude-Skills, 891 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dt Obs AWS?

Dynatrace (a GitHub organization) maintains it in Dynatrace/dynatrace-for-ai, which has 163 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 1, 2026.

Source: Dynatrace/dynatrace-for-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.