implementing-aws-iam-permission-boundaries
Configure IAM permission boundaries in AWS to delegate role creation to developers while enforcing maximum privilege limits set by the security team.
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Installation Guide
How to use implementing-aws-iam-permission-boundaries on Cursor
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Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
implementing-aws-iam-permission-boundaries
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches implementing-aws-iam-permission-boundaries from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate implementing-aws-iam-permission-boundaries. Access via /implementing-aws-iam-permission-boundaries in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
| name | implementing-aws-iam-permission-boundaries |
| description | Configure IAM permission boundaries in AWS to delegate role creation to developers while enforcing maximum privilege limits set by the security team. |
| domain | cybersecurity |
| subdomain | identity-access-management |
| tags | - aws - iam - permission-boundaries - least-privilege - delegation - cloud-security |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.AA-01 - PR.AA-02 - PR.AA-05 - PR.AA-06 |
Implementing AWS IAM Permission Boundaries
Overview
IAM permission boundaries are an advanced AWS feature that sets the maximum permissions an identity-based policy can grant to an IAM entity (user or role). They enable centralized security teams to safely delegate IAM role and policy creation to application developers without risking privilege escalation. The effective permissions of an entity are the intersection of its identity-based policies and its permission boundary -- even if an identity policy grants AdministratorAccess, the permission boundary restricts it to only the allowed actions.
When to Use
- When deploying or configuring implementing aws iam permission boundaries capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
Prerequisites
- AWS account with IAM administrative access
- Understanding of AWS IAM policy language (JSON)
- AWS CLI v2 configured with appropriate credentials
- Terraform or CloudFormation for infrastructure-as-code deployment
Core Concepts
How Permission Boundaries Work
Identity-Based Policy Permission Boundary
(What the role CAN do) ∩ (What the role MAY do)
│ │
└──────────┬───────────────────┘
│
Effective Permissions
(Only actions in BOTH policies)
Policy Evaluation Logic
AWS evaluates permissions in this order:
- Explicit Deny in any policy - always wins
- Organizations SCP - sets org-wide maximum
- Permission Boundary - sets entity-level maximum
- Identity-Based Policy - grants actual permissions
- Resource-Based Policy - cross-account access (evaluated separately)
The entity can only perform an action if ALL applicable policy types allow it.
Key Use Cases
| Use Case | Description |
|---|---|
| Developer Delegation | Allow devs to create IAM roles without escalating beyond their boundary |
| Sandbox Isolation | Limit what roles can do in sandbox/dev accounts |
| Multi-Tenant Workloads | Ensure tenant-specific roles cannot access other tenants' resources |
| CI/CD Pipeline Roles | Restrict automation roles to specific services |
Workflow
Step 1: Define the Permission Boundary Policy
Create a managed policy that defines the maximum allowed permissions:
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "AllowedServices",
"Effect": "Allow",
"Action": [
"s3:*",
"dynamodb:*",
"lambda:*",
"logs:*",
"cloudwatch:*",
"sqs:*",
"sns:*",
"events:*",
"states:*",
"xray:*",
"ec2:Describe*",
"ec2:CreateTags",
"sts:AssumeRole",
"kms:Decrypt",
"kms:GenerateDataKey",
"kms:DescribeKey",
"secretsmanager:GetSecretValue"
],
"Resource": "*"
},
{
"Sid": "AllowIAMPassRole",
"Effect": "Allow",
"Action": "iam:PassRole",
"Resource": "arn:aws:iam::*:role/app-*",
"Condition": {
"StringEquals": {
"iam:PassedToService": [
"lambda.amazonaws.com",
"states.amazonaws.com"
]
}
}
},
{
"Sid": "DenyBoundaryDeletion",
"Effect": "Deny",
"Action": [
"iam:DeletePolicy",
"iam:DeletePolicyVersion",
"iam:CreatePolicyVersion"
],
"Resource": "arn:aws:iam::*:policy/DeveloperBoundary"
},
{
"Sid": "DenyBoundaryRemoval",
"Effect": "Deny",
"Action": [
"iam:DeleteUserPermissionsBoundary",
"iam:DeleteRolePermissionsBoundary"
],
"Resource": "*"
}
]
}
Step 2: Create the Developer Delegation Policy
Grant developers the ability to create IAM roles, but only with the boundary attached:
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "AllowCreateRoleWithBoundary",
"Effect": "Allow",
"Action": [
"iam:CreateRole",
"iam:AttachRolePolicy",
"iam:DetachRolePolicy",
"iam:PutRolePolicy",
"iam:DeleteRolePolicy"
],
"Resource": "arn:aws:iam::*:role/app-*",
"Condition": {
"StringEquals": {
"iam:PermissionsBoundary": "arn:aws:iam::*:policy/DeveloperBoundary"
}
}
},
{
"Sid": "AllowCreatePolicyScoped",
"Effect": "Allow",
"Action": [
"iam:CreatePolicy",
"iam:DeletePolicy",
"iam:CreatePolicyVersion",
"iam:DeletePolicyVersion"
],
"Resource": "arn:aws:iam::*:policy/app-*"
},
{
"Sid": "AllowViewIAM",
"Effect": "Allow",
"Action": [
"iam:Get*",
"iam:List*"
],
"Resource": "*"
}
]
}
Step 3: Attach the Boundary
# Create the boundary policy
aws iam create-policy \
--policy-name DeveloperBoundary \
--policy-document file://developer-boundary.json
# Attach boundary to an existing role
aws iam put-role-permissions-boundary \
--role-name developer-role \
--permissions-boundary arn:aws:iam::123456789012:policy/DeveloperBoundary
# Create a new role with boundary
aws iam create-role \
--role-name app-lambda-executor \
--assume-role-policy-document file://trust-policy.json \
--permissions-boundary arn:aws:iam::123456789012:policy/DeveloperBoundary
Step 4: Prevent Privilege Escalation
The boundary must include deny statements to prevent developers from:
- Removing the boundary from their own roles
- Modifying the boundary policy itself
- Creating roles without the boundary attached
- Accessing IAM services to escalate privileges
Step 5: Deploy with Terraform
resource "aws_iam_policy" "developer_boundary" {
name = "DeveloperBoundary"
path = "/"
policy = file("${path.module}/policies/developer-boundary.json")
}
resource "aws_iam_role" "app_role" {
name = "app-lambda-executor"
assume_role_policy = data.aws_iam_policy_document.lambda_trust.json
permissions_boundary = aws_iam_policy.developer_boundary.arn
}
Validation Checklist
- Permission boundary policy created and reviewed by security team
- Boundary includes deny statements preventing self-modification
- Developer delegation policy requires boundary on all new roles
- Role naming convention enforced (e.g.,
app-*prefix) - Developers tested creating roles with and without boundary (should fail without)
- Privilege escalation paths tested and blocked
- CloudTrail logging enabled for IAM API calls
- Boundary policy versioned in source control
- Automated tests validate boundary effectiveness
- Documentation provided to development teams
References
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Use Cases
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Reviews
- GGanesh Mohane★★★★★Dec 24, 2024
Keeps context tight: implementing-aws-iam-permission-boundaries is the kind of skill you can hand to a new teammate without a long onboarding doc.
- MMeera Haddad★★★★★Dec 24, 2024
implementing-aws-iam-permission-boundaries has been reliable in day-to-day use. Documentation quality is above average for community skills.
- AArjun Khan★★★★★Dec 24, 2024
We added implementing-aws-iam-permission-boundaries from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- DDaniel Johnson★★★★★Dec 12, 2024
implementing-aws-iam-permission-boundaries reduced setup friction for our internal harness; good balance of opinion and flexibility.
- DDaniel Brown★★★★★Dec 12, 2024
implementing-aws-iam-permission-boundaries has been reliable in day-to-day use. Documentation quality is above average for community skills.
- RRahul Santra★★★★★Nov 15, 2024
Registry listing for implementing-aws-iam-permission-boundaries matched our evaluation — installs cleanly and behaves as described in the markdown.
- NNaina Robinson★★★★★Nov 15, 2024
implementing-aws-iam-permission-boundaries fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- AArjun Harris★★★★★Nov 15, 2024
Solid pick for teams standardizing on skills: implementing-aws-iam-permission-boundaries is focused, and the summary matches what you get after install.
- DDaniel Khanna★★★★★Nov 11, 2024
Useful defaults in implementing-aws-iam-permission-boundaries — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- CCarlos Wang★★★★★Nov 3, 2024
I recommend implementing-aws-iam-permission-boundaries for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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