Detects AWS, GCP, or Azure usage in projects via Terraform providers, SDK packages, config files, Docker images, CLI scripts, and weighted confidence scoring (95%+ accuracy).
npx claudepluginhub fortiumpartners/ai-meshThis skill uses the workspace's default tool permissions.
**Auto-detect AWS, GCP, or Azure usage with 95%+ accuracy using multi-signal analysis.**
Automatically detects Helm charts, Kubernetes manifests, Kustomize configurations, and ArgoCD in projects via file signals and CLI patterns, outputting JSON with confidence scores.
Detects IaC tools like Terraform and Ansible, cloud providers including AWS and Cloudflare, recommends skills, and audits security for DevOps infrastructure planning.
Automatically discovers and activates 30+ cloud, infrastructure, deployment, and container skills when working with AWS, GCP, Azure, Docker, Kubernetes, Terraform, Netlify, Heroku, or IaC.
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Auto-detect AWS, GCP, or Azure usage with 95%+ accuracy using multi-signal analysis.
const { detectCloudProvider } = require('./detect-cloud-provider.js');
// Auto-detect cloud provider
const result = await detectCloudProvider('/path/to/project');
if (result.detected) {
console.log(`Detected: ${result.name}`);
console.log(`Confidence: ${(result.confidence * 100).toFixed(1)}%`);
console.log(`Signals: ${result.signal_count}`);
}
// Manual override
const awsResult = await detectCloudProvider('/path/to/project', {
provider: 'aws'
});
Terraform (weight: 0.5) - Highest priority
provider "aws", provider "google", provider "azurerm"aws_vpc, google_compute_instance, azurerm_storage_accountPackage Manifests (weight: 0.3)
@aws-sdk/, @google-cloud/, @azure/boto3, google-cloud-*, azure-*Config Files (weight: 0.3)
.aws/config, .gcloud/, .azure/cloudformation.yml, cloudbuild.yaml, azuredeploy.jsonCLI Scripts (weight: 0.2)
aws configure, gcloud compute, az vm.sh filesDocker (weight: 0.2)
FROM public.ecr.aws, FROM gcr.io, FROM mcr.microsoft.comBase Score = Σ(detected_signals × signal_weight) / Σ(all_signal_weights)
Multi-Signal Boost:
if (signal_count >= 3) {
confidence += 0.2 // Up to maximum of 1.0
}
Detection Threshold: ≥0.7 (70%)
# Detect in current directory
node detect-cloud-provider.js
# Detect in specific project
node detect-cloud-provider.js /path/to/project
# Manual override
node detect-cloud-provider.js /path/to/project --provider aws
# Custom confidence threshold
node detect-cloud-provider.js /path/to/project --min-confidence 0.8
# Exit codes:
# 0 = Provider detected
# 1 = No provider detected
# 2 = Error occurred
{
"detected": true,
"provider": "aws",
"name": "Amazon Web Services (AWS)",
"confidence": 0.95,
"signals": {
"terraform": true,
"npm": true,
"python": false,
"cli": true,
"docker": true,
"config": true
},
"signal_count": 5,
"all_results": [
{
"provider": "aws",
"name": "Amazon Web Services (AWS)",
"confidence": 0.95,
"signals": {...},
"signal_count": 5
},
{
"provider": "gcp",
"name": "Google Cloud Platform (GCP)",
"confidence": 0.12,
"signals": {...},
"signal_count": 1
}
]
}
# In agent YAML behavior section:
**Cloud Provider Detection**:
- **Auto-detect**: Run `node skills/cloud-provider-detector/detect-cloud-provider.js`
at task start to identify AWS/GCP/Azure usage
- **Load Skills**: If AWS detected (≥70% confidence), load AWS cloud skill
- **Multi-cloud**: If multiple providers detected, load all relevant skills
- **Manual Override**: Accept `--cloud-provider` flag to bypass detection
// 1. Detect cloud provider
const detection = await detectCloudProvider(projectPath);
// 2. Load appropriate skill
if (detection.detected) {
if (detection.provider === 'aws') {
await loadSkill('skills/aws-cloud/SKILL.md');
} else if (detection.provider === 'gcp') {
await loadSkill('skills/gcp-cloud/SKILL.md');
} else if (detection.provider === 'azure') {
await loadSkill('skills/azure-cloud/SKILL.md');
}
}
// 3. Execute infrastructure tasks with cloud-specific knowledge
aws_vpc, aws_s3_bucket, aws_lambda_function@aws-sdk/client-s3, aws-cdk-libboto3, botocoreaws configure, aws s3 syncFROM public.ecr.aws/lambda/nodejsgoogle_compute_instance, google_storage_bucket@google-cloud/storage, googleapisgoogle-cloud-storage, google-api-python-clientgcloud compute, gsutil cpFROM gcr.io/google-appengine/nodejsazurerm_virtual_machine, azurerm_storage_account@azure/storage-blob, azure-functions-core-toolsazure-storage-blob, msrestazureaz vm create, az storage accountFROM mcr.microsoft.com/azure-functions/nodetry {
const result = await detectCloudProvider(projectPath);
} catch (error) {
if (error.code === 'ENOENT') {
console.error('Project directory not found');
} else if (error.message.includes('patterns.json')) {
console.error('Detection patterns file missing or invalid');
} else {
console.error('Detection failed:', error.message);
}
}
Low Confidence Scores (<0.7):
False Positives:
No Detection:
Edit cloud-provider-patterns.json:
{
"providers": {
"digitalocean": {
"name": "DigitalOcean",
"confidence_boost": 0.3,
"detection_signals": {
"terraform": {
"weight": 0.5,
"patterns": ["provider \"digitalocean\"", "digitalocean_droplet"]
}
}
}
}
}
{
"detection_rules": {
"minimum_confidence": 0.6, // Lower = more permissive
"multi_signal_boost": 0.3, // Higher = favor multi-signal
"minimum_signals_for_boost": 2 // Lower = boost earlier
}
}
--provider flag for edge casesglob for file pattern matchingInstall with:
npm install glob