agentleFS
kaandgnshkaandgnsh/Claude-Blue/skills/cloud-security/cloud-posture-assessment/SKILL.md

cloud-posture-assessment

Skill0 starsChanged 11 days agoMITView on GitHub

Assess multi-cloud security posture (AWS, Azure, GCP) with Prowler, ScoutSuite, Steampipe or native CSPM (Security Hub, Defender for Cloud, Security Command Center) against CIS benchmarks — prioritize findings by exploitability and blast radius rather than count. Use for cloud security assessments, onboarding a new account/subscription/project, or reviewing CSPM output.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run tools; export JSON/OCSF.

    line 37

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Cloud Posture Assessment

Run assessments (read-only credentials)

prowler aws --compliance cis_4.0_aws -M html json-ocsf          # framework names: prowler aws --list-compliance
prowler azure --az-cli-auth --compliance cis_3.0_azure
prowler gcp --project-ids my-project
scout aws --report-dir scout-report                               # ScoutSuite
steampipe check benchmark.cis_v300                                # Steampipe/Powerpipe mods (version-specific)

Native: AWS Security Hub (CIS/FSBP standards), Microsoft Defender for Cloud (secure score, MCSB), GCP Security Command Center (Security Health Analytics). Use a dedicated audit role: AWS SecurityAudit + ViewOnlyAccess; Azure Reader + Security Reader; GCP roles/iam.securityReviewer + roles/viewer.

Prioritize (not by count)

PriorityFinding class
P1Public exposure of data stores (buckets, databases, snapshots), admin services open to internet, root/global admin without MFA, logging disabled, long-lived keys for admins
P2Over-privileged identities (wildcards, PassRole), cross-account/tenant trusts to unknown parties, unencrypted sensitive stores, IMDSv1 on internet-facing instances
P3Hardening gaps: rotation, tagging, minor configuration

Combine with attack-path context: an IMDSv1 instance that is internet-facing and has an admin role is far worse than either alone (CNAPP attack paths, or manual graph review).

Workflow

  1. Scope accounts/subscriptions/projects (all of them — shadow accounts are common).
  2. Run tools; export JSON/OCSF; deduplicate across tools.
  3. Validate top findings manually (false positives from intentional public assets).
  4. Assign owners via tags/account ownership; set SLAs; track in tickets.
  5. Prevent recurrence with guardrails (SCPs/Azure Policy/Org Policy) and IaC scanning.

Output

Cloud/account | Control (CIS ID) | Resource | Severity | Exploitability context | Owner | Fix | Guardrail to prevent

Related skills

cloud-exposure-review, aws-org-guardrails, azure-rbac-review, gcp-iam-review, iac-scanning

References

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.