performing-cloud-asset-inventory-with-cartography
Helps your agent map all cloud resources and their connections. It creates a visual map to find attack paths and generate reports.
What it does
This tool collects information about your cloud resources (like AWS, Google Cloud, or Azure) and organizes them into an interactive map. It helps you understand how everything is connected and find potential security issues.
When to use it
- ✓When you need to know all your cloud resources.
- ✓When investigating potential security vulnerabilities.
- ✓To generate reports about your cloud infrastructure.
Example of what to ask your AI
“I want a map of all my AWS resources and how they are connected.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool connects to your cloud accounts, finds existing resources and their relationships, and stores everything in a special database called Neo4j. You can then use this map to view the connections.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-cloud-asset-inventory-with-cartographyOr download just the file:
curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/performing-cloud-asset-inventory-with-cartography/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Performing Cloud Asset Inventory with Cartography
Overview
Cartography is a CNCF sandbox project (originally created at Lyft) that consolidates infrastructure assets and their relationships into a Neo4j graph database. It queries cloud APIs to discover resources, maps relationships between them, and enables security teams to identify attack paths, generate asset reports, and find areas for security improvement. The graph model reveals hidden connections such as IAM permission chains, network paths, and cross-account trust relationships.
When to Use
- When conducting security assessments that involve performing cloud asset inventory with cartography
- When following incident response procedures for related security events
- When performing scheduled security testing or auditing activities
- When validating security controls through hands-on testing
Prerequisites
- Python 3.8+
- Neo4j 4.x or 5.x database
- Cloud provider credentials (AWS, GCP, Azure)
- Docker (optional, for Neo4j deployment)
- Minimum 4GB RAM for Neo4j, more for large environments
Installation
# Install Cartography
pip install cartography
# Verify installation
cartography --help
Deploy Neo4j with Docker
docker run -d \
--name neo4j \
-p 7474:7474 -p 7687:7687 \
-e NEO4J_AUTH=neo4j/changethispassword \
-e NEO4J_PLUGINS='["apoc"]' \
-v neo4j_data:/data \
neo4j:5-community
Running Cartography
Basic AWS Sync
# Sync AWS account data to Neo4j
cartography \
--neo4j-uri bolt://localhost:7687 \
--neo4j-user neo4j \
--neo4j-password-env-var NEO4J_PASSWORD
Sync specific AWS modules
cartography \
--neo4j-uri bolt://localhost:7687 \
--neo4j-user neo4j \
--neo4j-password-env-var NEO4J_PASSWORD \
--aws-sync-all-profiles
GCP Sync
cartography \
--neo4j-uri bolt://localhost:7687 \
--neo4j-user neo4j \
--neo4j-password-env-var NEO4J_PASSWORD \
--gcp-requested-syncs compute iam storage
Security-Focused Cypher Queries
Find all S3 buckets with public access
MATCH (b:S3Bucket)
WHERE b.anonymous_access = true
OR b.anonymous_actions IS NOT NULL
RETURN b.name, b.anonymous_actions, b.region, b.arn
ORDER BY b.name
Identify IAM users with admin policies
MATCH (user:AWSUser)-[:POLICY]->(policy:AWSPolicy)
WHERE policy.name = 'AdministratorAccess'
OR policy.arn CONTAINS 'AdministratorAccess'
RETURN user.name, user.arn, policy.name, user.password_last_used
Find EC2 instances exposed to internet
MATCH (instance:EC2Instance)-[:MEMBER_OF_EC2_SECURITY_GROUP]->(sg:EC2SecurityGroup)
-[:MEMBER_OF_EC2_SECURITY_GROUP_RULE]->(rule:IpRule)
WHERE rule.fromport <= 22 AND rule.toport >= 22
AND rule.protocol IN ['tcp', '-1']
AND '0.0.0.0/0' IN rule.ipranges
RETURN instance.instanceid, instance.publicipaddress, sg.groupid, sg.name
Discover cross-account trust relationships
MATCH (role:AWSRole)-[:TRUSTS_AWS_PRINCIPAL]->(principal:AWSPrincipal)
WHERE principal.arn CONTAINS ':root'
AND NOT principal.arn CONTAINS role.accountid
RETURN role.arn, role.name, principal.arn AS trusted_account
ORDER BY role.name
Find attack path from public EC2 to sensitive S3
MATCH path = (instance:EC2Instance)-[:STS_ASSUME_ROLE_ALLOWS|MEMBER_OF_EC2_SECURITY_GROUP|
POLICY|INSTANCE_PROFILE*1..5]->(bucket:S3Bucket)
WHERE instance.publicipaddress IS NOT NULL
AND bucket.name CONTAINS 'sensitive'
RETURN path
LIMIT 25
Identify unused IAM roles
MATCH (role:AWSRole)
WHERE role.last_used IS NULL
OR role.last_used < datetime().epochMillis - (90 * 24 * 60 * 60 * 1000)
RETURN role.name, role.arn, role.last_used
ORDER BY role.last_used
Find Lambda functions with overprivileged roles
MATCH (func:AWSLambda)-[:STS_ASSUME_ROLE_ALLOWS]->(role:AWSRole)-[:POLICY]->(policy:AWSPolicy)
WHERE policy.name = 'AdministratorAccess'
RETURN func.name, func.arn, role.name, policy.name
Network path analysis
MATCH (vpc:AWSVpc)-[:RESOURCE]->(subnet:EC2Subnet)-[:MEMBER_OF_SUBNET]->(instance:EC2Instance)
WHERE instance.publicipaddress IS NOT NULL
RETURN vpc.id, subnet.subnetid, subnet.cidr_block, instance.instanceid,
instance.publicipaddress, instance.state
Scheduling Regular Syncs
Cron-based sync
# Add to crontab - sync every 6 hours
0 */6 * * * /usr/local/bin/cartography \
…
FAQ
Do I need technical knowledge to use it?
Some familiarity with command-line usage and basic cloud concepts is recommended, but the tool is designed to simplify visualization.
Which clouds are supported?
It currently supports AWS, Google Cloud (GCP), and Microsoft Azure.
What is Neo4j?
Neo4j is a type of database optimized for storing and querying information with many interconnections, like a relationship map.
Details
Original description by the author
Run Cartography to sync AWS, GCP, or Azure resources into a Neo4j graph database, mapping relationships such as IAM permission chains, network paths, and cross-account trust. Use when building a cloud asset inventory, querying the graph to identify attack paths, or generating security reports across multi-cloud infrastructure.
Popularity
- GitHub stars
- 35k
- Ranking position
- #6035
- License
- Apache-2.0
- Updated
- 8/31/2026
Comments
- …
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