Aws Iam logo

Aws Iam

OrganizationPopular
aws
aws-iam

Provides verified corrections for IAM behaviors that AI agents frequently get wrong — policy evaluation edge cases, trust policy gotchas, STS session limits, Organizations quirks, and SAML/MFA specifics. Also provides structured workflows for IAM role management and baseline policy generation from application source code or a Terraform plan JSON. Covers condition operator safety (ForAnyValue/ForAllValues with Null checks), bucket policy deny patterns (VPC endpoint restrictions, org paths), confused deputy protection, and service role creation for AWS services (Glue, CloudTrail, Lambda, ECS, etc.) with aws:SourceAccount/aws:SourceArn trust conditions. Applies when creating IAM roles, writing IAM or bucket policies, generating policies from application source code or a Terraform plan JSON, working with STS, Organizations, or condition operators, or any task needing a service or execution role. Does not cover non-IAM authorization like Cognito user-pool policies or app-level RBAC.

Overview

Publisheraws
Repositoryagent-toolkit-for-aws
Skill nameaws-iam
Stars
2.7K
Forks
311
Bundled files
4
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aws on GitHub. Read the source before you install it.

Installation

Install the Aws Iam AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws.git /tmp/agent-toolkit-for-aws
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit-for-aws/plugins/aws-core/skills/aws-iam .claude/skills/aws-iam
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws Iam in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aws Iam on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aws Iam is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AWS IAM — Common Pitfalls

About This Skill

This skill contains verified corrections for things that AI agents frequently get wrong about IAM. It is not a comprehensive IAM guide — for full IAM guidance, search AWS documentation. When answering IAM questions, verify specific claims (limits, quotas, exact API names, edge-case behaviors) against official AWS documentation rather than relying on pre-training. Prefer fetching known documentation URLs over broad searches. Trust official documentation over memory when they conflict.

Common Workflows

Use the best available tool for AWS operations — the AWS MCP server is recommended but not required; AWS CLI or SDK may be used as alternatives. Read reference files only when the conversation requires deeper detail.

  • Read references/aws-iam-role-management.md if the user needs to create, scope, or maintain IAM roles when provisioning or updating AWS resources. Covers service roles, execution roles, trust policies, confused deputy protection, and permission hygiene.

  • Read references/aws-iam-policy-generation.md if the user needs to generate IAM policies, determine required IAM actions for API calls, or understand action-to-operation mappings. CRITICAL: If the user provides application source code (in any language) or a Terraform plan JSON file (terraform show -json output), you MUST read this reference — it mandates using iam-policy-autopilot instead of manual policy construction. Uses the programmatic service authorization reference for accurate mappings.

Verified Edge Cases

CloudTrail:

  • AcceptHandshake/DeclineHandshake logged in ACTING account ONLY, not management account. Organization trail required for centralization.
  • ConsoleLogin region varies by endpoint/cookies, NOT always us-east-1. ?region= forces specific region.

STS:

  • GetSessionToken restrictions: (1) No IAM APIs unless MFA included (2) No STS except AssumeRole and GetCallerIdentity.
  • Cross-account AssumeRole to opt-in region: TARGET account must enable region, not calling account.
  • Role chaining: max 1-hour session.

Organizations:

  • Suspended/closed accounts CANNOT be removed until permanently closed (~90 days). Remove FIRST, then close.
  • Policy management delegation: use PutResourcePolicy, NOT register-delegated-administrator.
  • AI opt-out policies: management account required by default.
  • Organizations policy types for ListPolicies filter: fetch the current list via aws organizations list-available-policy-types or the Organizations API reference.

SDK Specifics:

  • Organizations: DuplicatePolicyAttachmentException (not PolicyAlreadyAttachedException).
  • Boto3 IAM AccessKey: methods are activate(), deactivate(), delete() — NO update().
  • Instance profiles: waiter + time.sleep(10) pattern.
  • Managed policy max versions: 5.

SAML:

  • Encrypted assertions URL: https://region-code.signin.aws.amazon.com/saml/acs/IdP-ID.
  • Private key from IdP uploaded to IAM in .pem format.

Policy Evaluation:

  • ForAllValues with empty/missing key: evaluates to true (vacuous truth). To avoid that, use a Null condition in addition to the ForAllValues on the same context key to require that key to be present and non-null. For example, when evaluating the aws:TagKeys context key:

    json
    {
      "Version": "2012-10-17",
      "Statement": {
        "Effect": "Allow",
        "Action": "ec2:RunInstances",
        "Resource": "*",
        "Condition": {
          "ForAllValues:StringEquals": {
            "aws:TagKeys": ["Alpha", "Beta"]
          },
          "Null": {
            "aws:TagKeys": "false"
          }
        }
      }
    }
  • Resource-based policies granting to IAM user ARN bypass permissions boundaries in same account.

  • 8 privilege escalation actions via direct IAM policy manipulation: PutGroupPolicy, PutRolePolicy, PutUserPolicy, CreatePolicy, CreatePolicyVersion, AttachGroupPolicy, AttachRolePolicy, AttachUserPolicy.

  • iam:PassRole with Resource: "*" + create/update on a compute service (EC2 RunInstances, Lambda CreateFunction/UpdateFunctionConfiguration, ECS RegisterTaskDefinition, Glue, SageMaker, CloudFormation, etc.) = privilege escalation to any passable role in the account, including Administrator. Scope Resource to specific role ARNs or an IAM path; optionally constrain with iam:PassedToService / iam:AssociatedResourceArn. See IAM User Guide — Grant a user permissions to pass a role.

MFA:

  • Unassigned virtual MFA devices auto-deleted when adding new ones.
  • MFA resync-only policy NotAction needs exactly: iam:ListMFADevices, iam:ListVirtualMFADevices, iam:ResyncMFADevice.

SigV4:

  • IncompleteSignatureException includes SHA-256 hash of Authorization header for transit modification diagnosis.

Service-Specific Roles:

  • Redshift Serverless trust policy: include BOTH redshift-serverless.amazonaws.com AND redshift.amazonaws.com as service principals (per AWS docs; omitting serverless causes Not authorized to get credentials of role on COPY).
  • IAM OIDC providers: thumbprints are not required for most providers (AWS verifies via trusted CAs).

Policy Summary Display:

  • Single statement with multi-service wildcard actions (e.g. codebuild:*, codecommit:*) + service-specific resource ARNs: each resource appears ONLY under its matching service's summary (CodeBuild ARN under CodeBuild, etc.). A resource whose service prefix matches NO action in the statement is the only case where it appears in all action summaries ("mismatched resource").

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Aws Iam AI skill do?

Provides verified corrections for IAM behaviors that AI agents frequently get wrong — policy evaluation edge cases, trust policy gotchas, STS session limits, Organizations quirks, and SAML/MFA specifics. Also provides structured workflows for IAM role management and baseline policy generation from application source code or a Terraform plan JSON. Covers condition operator safety (ForAnyValue/ForAllValues with Null checks), bucket policy deny patterns (VPC endpoint restrictions, org paths), confused deputy protection, and service role creation for AWS services (Glue, CloudTrail, Lambda, ECS,...

Why use Aws Iam on TypingMind?

Because you install it once and use it with any model. Aws Iam is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aws Iam in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aws/agent-toolkit-for-aws/tree/main/plugins/aws-core/skills/aws-iam. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Aws Iam?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aws Iam?

As many as you like. As long as a model supports skills, you can use Aws Iam with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aws Iam AI skill free?

Yes. It is published on GitHub by aws under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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