Cloud Audit
briiirussell/cybersecurity-skills
Audit cloud infrastructure (AWS, GCP, Azure) for misconfigurations, excessive permissions, and security gaps.
Cross-cloud security posture assessment covering IAM analysis, encryption audit, and public exposure detection across AWS, Azure, and GCP using [AWS]/[Azure]/[GCP] inline labels for…
$ npx skills add LeoYeAI/openclaw-master-skills --skill cloud-security-posture -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills cloud-security-posture --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cloud-security-posture .claude/skills/cloud-security-posture && rm -rf skills-srcUse ~/.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/
Install the "cloud-security-posture" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/cloud-security-posture into .claude/skills/cloud-security-posture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloud-security-posture", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/cloud-security-postureType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill cloud-security-posture -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills cloud-security-posture --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cloud-security-posture .agents/skills/cloud-security-posture && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cloud-security-posture" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/cloud-security-posture into .agents/skills/cloud-security-posture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloud-security-posture", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill cloud-security-posture -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills cloud-security-posture --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cloud-security-posture .cursor/skills/cloud-security-posture && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "cloud-security-posture" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/cloud-security-posture into .cursor/skills/cloud-security-posture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloud-security-posture", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/cloud-security-posture--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill cloud-security-posture -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills cloud-security-posture --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cloud-security-posture .gemini/skills/cloud-security-posture && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "cloud-security-posture" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/cloud-security-posture into .gemini/skills/cloud-security-posture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloud-security-posture", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills cloud-security-postureInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill cloud-security-posture -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cloud-security-posture .github/skills/cloud-security-posture && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "cloud-security-posture" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/cloud-security-posture into .github/skills/cloud-security-posture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloud-security-posture", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill cloud-security-posture -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills cloud-security-posture --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cloud-security-posture .opencode/skills/cloud-security-posture && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "cloud-security-posture" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/cloud-security-posture into .opencode/skills/cloud-security-posture/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloud-security-posture", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
cloud-security-postureCross-cloud security posture assessment covering IAM analysis, encryption audit, and public exposure detection across AWS, Azure, and GCP using [AWS]/[Azure]/[GCP] inline labels for…
Cloud Security Posture is an agent skill from LeoYeAI/openclaw-master-skills. Cross-cloud security posture assessment covering IAM analysis, encryption audit, and public exposure detection across AWS, Azure, and GCP using [AWS]/[Azure]/[GCP] inline labels for provider-specific commands.
Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `_meta.json`, `references/cli-reference.md` and `references/security-controls.md`).
It sits in Security, covering Cloud security. It works with Amazon Web Services, Microsoft Azure and Google Cloud. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
awsgcloudazgsutilFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use aws, gcloud and az, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Cloud Security Posture loads about 4.8k tokens when it runs, and up to ~8.2k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 1,798 words of instructions outside code blocks.
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.
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.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its Apache-2.0 licence (© LeoYeAI). 1,798 words, ~4,838 tokens.
.claude/skills/cloud-security-posture/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Cross-cloud security posture assessment for evaluating IAM policies, encryption configuration, and public exposure across [AWS], [Azure], and [GCP] environments. This skill provides a unified assessment methodology — diagnostic reasoning is provider-independent, while specific commands and console paths use inline provider labels.
This is an assessment skill, not a deep-dive into any single provider's
networking layer. For detailed VPC, VNet, or VPC Network analysis, use
the dedicated provider skills: aws-networking-audit for VPC/Security
Group/Transit Gateway, azure-networking-audit for VNet/NSG/Route Table,
and gcp-networking-audit for VPC Network/Firewall Rule/Cloud Router
analysis. Reference references/cli-reference.md for multi-provider
CLI commands organized by audit step, and references/security-controls.md
for the IAM hierarchy model, encryption matrix, and CIS benchmark
control ID mapping.
aws sts get-caller-identity succeeds); IAM permissions for iam:List*, iam:Get*, kms:List*, kms:DescribeKey, s3:GetBucketEncryption, s3:GetBucketPolicyStatus, ec2:DescribeSecurityGroups, ec2:DescribeInstances, elasticloadbalancing:DescribeLoadBalancers, rds:DescribeDBInstances, acm:ListCertificatesaz account show succeeds); RBAC Reader role on target subscriptions; permissions for Microsoft.Authorization/roleAssignments/read, Microsoft.KeyVault/vaults/read, Microsoft.Compute/disks/read, Microsoft.Network/publicIPAddresses/read, Microsoft.Network/networkSecurityGroups/read, Microsoft.Storage/storageAccounts/readgcloud auth list shows active account); roles roles/iam.securityReviewer, roles/cloudkms.viewer, roles/compute.viewer, roles/storage.admin (for bucket IAM inspection) on target project(s)Follow these six steps sequentially. Each step produces findings that feed the cross-cloud posture summary in Step 6.
Evaluate identity and access management configuration for privilege escalation risks, excessive permissions, and policy hygiene across all in-scope providers. Focus on three areas: overly permissive policies, missing authentication controls, and privilege escalation paths through role chaining or impersonation.
[AWS] Enumerate IAM users, roles, and policies. Check for wildcard actions in customer-managed policies:
aws iam get-account-authorization-details --output json
aws iam list-policies --scope Local --query 'Policies[?AttachmentCount>`0`]'Flag policies with "Action": "*" or "Resource": "*" as Critical.
Review Service Control Policies (SCPs) in Organizations for boundary
gaps that allow privilege escalation paths (e.g., iam:CreateRole +
iam:AttachRolePolicy without SCP deny). Check for IAM users with
console access but no MFA: aws iam get-credential-report.
[Azure] Audit RBAC role assignments and Entra ID configuration:
az role assignment list --all --output table
az ad user list --query "[?userType=='Member']" --output tableIdentify Owner/Contributor role sprawl — assignments at subscription scope with no expiration indicate missing Privileged Identity Management (PIM) activation policies. Review Conditional Access policies for gaps: no policy covering all users, missing device compliance requirements, or legacy authentication protocols not blocked.
[GCP] Analyze IAM bindings and Organization Policy constraints:
gcloud projects get-iam-policy <project-id> --format=json
gcloud resource-manager org-policies list --project=<project-id>Flag bindings with roles/owner or roles/editor on service accounts
as Critical. Check for service account key age exceeding 90 days:
gcloud iam service-accounts keys list --iam-account=<sa-email>.
Verify Organization Policy constraints enforce iam.disableServiceAccountKeyCreation
where applicable.
Assess encryption at rest and in transit across storage, compute, and database services. Evaluate key management practices including rotation schedules, access policies, and customer-managed vs provider-managed key usage.
[AWS] Verify KMS key policies, storage encryption, and certificate management:
aws kms list-keys --output table
aws s3api get-bucket-encryption --bucket <bucket-name>
aws rds describe-db-instances --query 'DBInstances[*].[DBInstanceIdentifier,StorageEncrypted,KmsKeyId]'Check EBS volume encryption: aws ec2 describe-volumes --query 'Volumes[?!Encrypted]'.
Review ACM certificate expiry: aws acm list-certificates --query 'CertificateSummaryList[?Status==ISSUED]'.
Flag any unencrypted S3 buckets, EBS volumes, or RDS instances as
High severity. Verify KMS key rotation is enabled for customer-managed
keys: aws kms get-key-rotation-status --key-id <key-id>.
[Azure] Audit Key Vault configuration, disk encryption, and TLS:
az keyvault list --output table
az disk list --query "[?encryption.type!='EncryptionAtRestWithPlatformKey']" --output tableVerify Key Vault access policies follow least privilege — no vault
with "Get, List, Set, Delete" for all principals. Check managed disk
encryption type (platform-managed vs customer-managed keys). Review
TLS minimum version on App Services: az webapp list --query "[].{name:name, minTlsVersion:siteConfig.minTlsVersion}".
[GCP] Assess Cloud KMS configuration and default encryption:
gcloud kms keyrings list --location=<location>
gcloud kms keys list --keyring=<keyring> --location=<location>Determine CMEK vs Google-managed encryption per service. Flag any
Cloud Storage buckets or Compute disks without CMEK if the
organization policy requires it. Check KMS key rotation period:
gcloud kms keys describe <key> --keyring=<keyring> --location=<location>.
Verify SSL policy compliance on load balancers:
gcloud compute ssl-policies list.
Identify publicly accessible resources and evaluate network-level exposure across all three providers. Public exposure combined with weak authentication (Step 1) or missing encryption (Step 2) compounds severity — cross-reference findings when classifying risk.
[AWS] Check for public S3 buckets, permissive Security Groups, and load balancer configuration:
aws s3api list-buckets --query 'Buckets[*].Name' --output text
aws s3api get-bucket-policy-status --bucket <bucket-name>
aws ec2 describe-security-groups --filters "Name=ip-permission.cidr,Values=0.0.0.0/0"Flag Security Groups allowing 0.0.0.0/0 ingress on non-standard
ports as Critical. Check ELB access logging: aws elbv2 describe-load-balancer-attributes --load-balancer-arn <arn> --query 'Attributes[?Key==access_logs.s3.enabled]'.
[Azure] Identify public IPs without network security controls:
az network public-ip list --output table
az network nsg list --output table
az storage account list --query "[].{name:name, publicAccess:allowBlobPublicAccess}"Flag public IPs with no associated NSG as High severity. Check
storage account public access settings — allowBlobPublicAccess: true
requires justification. Verify Application Gateway WAF mode is
"Prevention" not "Detection" for production workloads.
[GCP] Detect public firewall rules and external load balancer exposure:
gcloud compute firewall-rules list --filter="sourceRanges:0.0.0.0/0" --format=table
gcloud compute forwarding-rules list --filter="loadBalancingScheme=EXTERNAL"Flag firewall rules with 0.0.0.0/0 source range on non-443/80
ports as Critical. Check Cloud Storage public access:
gsutil iam get gs://<bucket> and look for allUsers or
allAuthenticatedUsers bindings. Verify external load balancer
backends are intentionally public.
Delegate deep network security analysis to the dedicated provider networking skills. This step connects posture findings to network architecture context and ensures that infrastructure-level controls complement the identity and data protection evaluated in Steps 1–3.
aws-networking-audit for VPC CIDR design, Security Group rule-by-rule analysis, Transit Gateway topology, VPC Flow Log forensics, and Route Table validationazure-networking-audit for VNet architecture, NSG effective rules, Route Table/UDR analysis, Network Watcher diagnostics, and Service Endpoint/Private Link coveragegcp-networking-audit for VPC Network design, hierarchical firewall policy analysis, Cloud Router/BGP configuration, VPC Flow Log analysis, and Cloud NAT verificationCorrelate findings: IAM misconfigurations (Step 1) combined with
permissive network rules (this step) represent compounded risk.
A service account with roles/editor behind a firewall rule
allowing 0.0.0.0/0 is more urgent than either finding alone.
Document cross-references between posture findings and network
architecture gaps in the final report.
Map findings to compliance framework controls. Reference CIS benchmark control IDs for provider-specific checks and SOC 2 criteria for organizational controls. This step transforms technical findings into auditor-consumable evidence.
CIS Cloud Benchmark References (control IDs for audit mapping):
Map each finding to the applicable CIS section and control number.
See references/security-controls.md for the full control ID index.
SOC 2 Control Mapping — Map infrastructure findings to Trust Services Criteria: CC6 (Logical and Physical Access Controls) for IAM and network exposure findings, CC7 (System Operations) for encryption and monitoring gaps.
Severity Classification — Critical: exploitable public exposure or admin-level privilege escalation. High: unencrypted sensitive data or overly permissive IAM. Medium: missing logging, stale credentials, or suboptimal encryption key management. Low: configuration drift from best practice without direct exploit path.
Compile findings into a structured cross-cloud posture report with provider-by-provider comparison and prioritized remediation actions.
Provider Comparison Matrix — Tabulate findings by domain (IAM, encryption, exposure) and provider. Identify which provider has the strongest/weakest posture per domain. Flag any provider that lacks coverage for a domain (e.g., no encryption at rest audit completed for GCP). Note configuration parity gaps — if AWS enforces MFA but Azure does not require Conditional Access, the inconsistency itself is a finding.
Prioritized Remediation — Rank all findings by severity, then by blast radius (multi-provider issues first). Group remediation actions by provider to enable parallel workstreams. Estimate effort for each remediation (quick fix vs project-level change). Identify quick wins: enabling encryption defaults, rotating stale keys, and restricting overly permissive firewall rules typically resolve 30–50% of findings with minimal change risk.
Executive Summary — Overall posture score per provider (Critical/ High/Medium/Low finding counts), cross-cloud consistency assessment, top 5 priority remediations, and recommended reassessment timeline. Include trend data if prior assessments exist — improving or degrading posture per domain.
| Domain | Severity | Condition | Example |
|---|---|---|---|
| IAM | Critical | Wildcard admin policy without SCP boundary | "Action": "*", "Resource": "*" |
| IAM | High | Service account/user with no MFA and console access | AWS IAM user, Azure member without CA |
| IAM | Medium | Service account key age >90 days | [GCP] key rotation overdue |
| IAM | Low | Unused IAM role with permissions attached | Role with 0 last-used date |
| Encryption | Critical | Unencrypted database with sensitive data | RDS, Azure SQL, Cloud SQL |
| Encryption | High | Unencrypted storage bucket/volume | S3, Blob Storage, Cloud Storage |
| Encryption | Medium | Customer-managed key rotation >365 days | KMS, Key Vault, Cloud KMS |
| Encryption | Low | Platform-managed keys where CMEK policy exists | Org policy violation |
| Exposure | Critical | Public access on 0.0.0.0/0 non-web ports | SSH/RDP open to internet |
| Exposure | High | Storage bucket publicly accessible | S3, Blob, GCS with allUsers |
| Exposure | Medium | Load balancer without access logging | ALB, App Gateway, Cloud LB |
| Exposure | Low | WAF in detection mode (not prevention) | [Azure] App Gateway WAF |
Cloud Posture Assessment Scoping:
├─ Single provider? → Use dedicated provider skill (aws/azure/gcp-networking-audit)
├─ Multiple providers? → Use this skill for cross-cloud posture assessment
│ ├─ All 3 providers in scope? → Full procedure (Steps 1–6)
│ ├─ 2 providers? → Skip provider-specific checks for absent provider
│ └─ Compliance required? → Include Step 5 mapping
└─ Provider deep-dive needed? → Cross-reference to dedicated skill (Step 4)
Finding Severity Assignment:
├─ Exploitable from internet with no authentication? → Critical
├─ Data exposure or privilege escalation path? → High
├─ Missing logging or stale credentials? → Medium
└─ Configuration drift without exploit path? → Low
IAM Escalation Path Detection:
├─ User/role can create new roles? → Check SCP/org policy boundary
│ ├─ No boundary? → Critical — unbounded privilege escalation
│ └─ Boundary exists? → Verify deny rules cover CreateRole + AttachPolicy
├─ Service account can impersonate other accounts? → High
└─ Cross-account trust allows external principals? → High# Cloud Security Posture Assessment Report
## Executive Summary
- **Assessment scope:** [AWS accounts / Azure subscriptions / GCP projects]
- **Assessment date:** [date]
- **Overall posture:** [Critical/High/Medium/Low finding summary]
## Provider Comparison Matrix
| Domain | AWS | Azure | GCP |
|------------|------------|------------|------------|
| IAM | [findings] | [findings] | [findings] |
| Encryption | [findings] | [findings] | [findings] |
| Exposure | [findings] | [findings] | [findings] |
| Network | [ref: provider skill] | [ref: provider skill] | [ref: provider skill] |
## Findings by Severity
### Critical
| # | Provider | Domain | Finding | CIS Control | Remediation |
|---|----------|--------|---------|-------------|-------------|
### High
| # | Provider | Domain | Finding | CIS Control | Remediation |
|---|----------|--------|---------|-------------|-------------|
### Medium / Low
[Grouped table for lower-severity findings]
## Remediation Roadmap
1. [Immediate — Critical findings, estimated effort]
2. [Short-term — High findings within 30 days]
3. [Medium-term — Medium findings within 90 days]
## Appendix
- Provider-specific networking audit references
- Full CIS control mapping table
- Evidence collection inventoryInsufficient permissions on one provider — If credential checks
fail for a single provider (aws sts get-caller-identity, az account show, or gcloud auth list), proceed with available providers and
document the gap. Partial assessments are valuable — note "Provider X
not assessed" in the comparison matrix.
Cross-account or cross-subscription enumeration failures — Multi- account AWS environments require assume-role chains; multi-subscription Azure requires Reader on each subscription. If enumeration returns empty results, verify role trust policies and subscription RBAC before assuming clean posture.
Large-scale environments — For environments with 50+ accounts or subscriptions, sample-based assessment is acceptable. Prioritize production accounts, internet-facing workloads, and accounts with external trust relationships. Document sampling methodology and coverage percentage in the report. Consider using cloud-native aggregation tools ([AWS] Security Hub, [Azure] Defender for Cloud, [GCP] Security Command Center) to supplement manual CLI checks.
Conflicting severity across providers — The same logical risk (e.g., public storage) may present differently per provider. Use the Threshold Tables severity definitions consistently. A publicly accessible S3 bucket, Azure Blob container, and GCS bucket all receive the same severity regardless of provider-specific defaults or naming.
Stale credentials not surfaced by default — [AWS] credential
reports require generation (aws iam generate-credential-report)
before download. [Azure] sign-in logs require Azure AD Premium P1.
[GCP] service account key listing shows creation date but not last
usage without additional audit log queries. Document data freshness
limitations in the report appendix.
CIS benchmark version alignment — Verify which CIS benchmark
version applies to the deployed cloud service versions. Cite the
benchmark version in findings (e.g., "CIS AWS Foundations v2.0.0 —
1.4"). Reference references/security-controls.md for control IDs.
© LeoYeAI, 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
SKILL.md and 3 other files (references) in skills/cloud-security-posture of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Cloud Security Posture 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Cloud Security Posture this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | |
| Cloud Auditbriiirussell/cybersecurity-skills | 412 | — | ~1.3k | Automated safety check: Notes | MIT | |
| Performing Cloud Incident Containment Proceduresmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Auditing Cloud With Cis Benchmarksmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Implementing Cloud Security Posture Managementmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Configuring Firewallsancoleman/ai-design-components | 526 | — | ~3.5k | Automated safety check: Notes | MIT |
briiirussell/cybersecurity-skills
Audit cloud infrastructure (AWS, GCP, Azure) for misconfigurations, excessive permissions, and security gaps.
mukul975/Anthropic-Cybersecurity-Skills
Execute cloud-native incident containment across AWS, Azure, and GCP using platform CLIs to revoke or disable compromised IAM credentials, isolate resources with security groups and network ACLs…
mukul975/Anthropic-Cybersecurity-Skills
Audit AWS, Azure, and GCP environments against the CIS Foundations Benchmarks by running automated scans with tools like Prowler and ScoutSuite, interpreting failed controls, and tracking…
mukul975/Anthropic-Cybersecurity-Skills
Continuously monitor multi-cloud environments (AWS, Azure, GCP) for misconfigurations, compliance violations, and security risks using Prowler, ScoutSuite, AWS Security Hub, Microsoft Defender for…
ancoleman/ai-design-components
Configure host-based firewalls (iptables, nftables, UFW) and cloud security groups (AWS, GCP, Azure) with practical rules for common scenarios like web servers, databases, and bastion hosts.
borghei/Claude-Skills
Cloud posture security across AWS, Azure, and GCP — IAM least privilege, public exposure, encryption, logging coverage, landing-zone guardrails.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Categories
Cross-cloud security posture assessment covering IAM analysis, encryption audit, and public exposure detection across AWS, Azure, and GCP using [AWS]/[Azure]/[GCP] inline labels for…. Cloud Security Posture is an agent skill from LeoYeAI/openclaw-master-skills. Cross-cloud security posture assessment covering IAM analysis, encryption audit, and public exposure detection across AWS, Azure, and GCP using [AWS]/[Azure]/[GCP] inline labels for provider-specific commands.
Cloud Security Posture fits situations like: tasks that involve Cloud security.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill cloud-security-posture -a claude-code`. Or copy the skill folder (skills/cloud-security-posture in LeoYeAI/openclaw-master-skills) into .claude/skills/cloud-security-posture in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill cloud-security-posture -a codex`. Or copy the skill folder (skills/cloud-security-posture in LeoYeAI/openclaw-master-skills) into .agents/skills/cloud-security-posture in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill cloud-security-posture -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cloud-security-posture, .gemini/skills/cloud-security-posture, .github/skills/cloud-security-posture and .opencode/skills/cloud-security-posture in your project.
Going by SKILL.md and its folder, Cloud Security Posture needs the command-line tools its instructions call (aws, gcloud, az and gsutil).
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.
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.
Cloud Security Posture 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.
About 4.8k tokens (SKILL.md is roughly 19k 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 3.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Cloud Security Posture: Cloud Audit (briiirussell/cybersecurity-skills, 412 stars), Performing Cloud Incident Containment Procedures (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Auditing Cloud With Cis Benchmarks (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Implementing Cloud Security Posture Management (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,158 GitHub stars. The repository holds 1,215 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.