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Detonate granular AWS, Azure, GCP, and Kubernetes attack techniques to validate detections with Stratus Red Team.
Passed 24 of 24 test cases with the skill, and 20 of 24 without it.
and 4 more in the full report
4 fixed20 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
What CLI flags should be supplied to scripts/agent.py to perform an automated AWS credential-access detonation sweep followed immediately by teardown?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies --platform aws. | Missed | Passed |
| Specifies --tactic credential-access. | Missed | Passed |
| Specifies --detonate and --cleanup flags. | Missed | Passed |
The instructions your model reads when the skill loads.
Legal Notice: This skill is for authorized security testing and detection-validation purposes only. Stratus Red Team spins up and modifies real cloud infrastructure in the account whose credentials you supply. Only run it in accounts you own or are explicitly authorized to test. Always
cleanupafterwards to avoid orphaned, billable, or insecure resources. Unauthorized use against systems you do not control is illegal.
Stratus Red Team is an open-source "Atomic Red Team for the cloud," maintained by Datadog. It is a self-contained Go binary that programmatically detonates granular, well-documented offensive techniques against AWS, Azure, GCP, and Kubernetes, then lets you cleanly revert and remove everything it created. Unlike a full exploitation framework, Stratus is purpose-built for detection engineering and purple teaming: each technique maps to a MITRE ATT&CK tactic and ships with a precise description of the cloud API calls it generates, so a blue team can confirm whether their CloudTrail/GuardDuty/Sentinel/Falco detections actually fire.
Every technique has a deterministic lifecycle. Stratus first provisions any prerequisite infrastructure with embedded Terraform (the warmup phase), then performs the malicious actions (detonate), optionally reverts the side effects so you can detonate again, and finally cleanups the prerequisite infrastructure. Because the prerequisites and the attack are decoupled, you can iterate on a detection by detonating the same technique repeatedly without re-provisioning. The tool uses your standard cloud SDK credential chain (AWS profiles/env vars, az login, GCP ADC, kubeconfig), so it operates with exactly the permissions of the identity you authenticate as.
This skill covers installing Stratus, listing and filtering the technique catalog, running the full warmup-detonate-revert-cleanup lifecycle, mapping detonations to the telemetry they produce, and wiring the results into a detection-validation workflow. Source: github.com/DataDog/stratus-red-team and stratus-red-team.cloud official documentation.
# Go install
go install -v github.com/datadog/stratus-red-team/v2/cmd/stratus@latest
# Homebrew
brew tap datadog/stratus-red-team https://github.com/DataDog/stratus-red-team
brew install datadog/stratus-red-team/stratus-red-team
# Docker
docker run --rm -v $HOME/.stratus-red-team/:/root/.stratus-red-team/ \
-e AWS_ACCESS_KEY_ID -e AWS_SECRET_ACCESS_KEY -e AWS_SESSION_TOKEN \
ghcr.io/datadog/stratus-red-team list
# AWS — verify identity before detonating
export AWS_PROFILE=stratus-lab
test cases passed, vs 20 / 24 without
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