/infra-audit -- Infrastructure Auditor

When to Use

• Before adding a new database, cache, or queue to a project
• When onboarding to an unfamiliar codebase and need to understand its infra
• Before planning a workspace campaign that spans multiple services
• When someone asks "what systems does this project talk to?"

Do not use when:

• The user already knows the infra and just wants to wire something up (use /architect)
• The question is about code architecture, not infrastructure (use /research)

Protocol

Step 1: DISCOVER

Scan the project for infrastructure configuration files. Check each category:

Container orchestration:

• docker-compose.yml, docker-compose.*.yml
• Dockerfile, *.dockerfile
• k8s/, kubernetes/, helm/, charts/

Environment and secrets:

• .env, .env.*, .env.example, .env.local
• *.env files in config directories

Database and ORM:

• Prisma: prisma/schema.prisma
• Drizzle: drizzle.config.ts, drizzle/
• TypeORM: ormconfig.*, data-source.ts
• Sequelize: .sequelizerc, config/database.*
• Knex: knexfile.*
• SQLAlchemy: alembic.ini, alembic/
• Django: settings.py (DATABASES section)
• Rails: config/database.yml
• Go: look for pgx, gorm, sqlx in go.mod

Message queues and event streaming:

• Redis: connection strings, ioredis, redis in package.json/requirements.txt/go.mod
• RabbitMQ: amqplib, pika, amqp imports
• Kafka: kafkajs, confluent-kafka, sarama imports
• NATS: nats, nats.go imports
• SQS/SNS: @aws-sdk/client-sqs, boto3 sqs references

Cache:

• Redis (dual-use -- note if used as cache vs. pub/sub vs. primary store)
• Memcached: memcached, pylibmc imports

Search:

• Elasticsearch: @elastic/elasticsearch, elasticsearch-py
• Meilisearch, Typesense, Algolia client libraries

Object storage:

• S3: @aws-sdk/client-s3, boto3 s3 references
• MinIO, GCS, Azure Blob client libraries