🇺🇸English

Cloud Access Management

Manage identity and access for an Elastic Cloud organization and its Serverless projects: invite users, assign predefined or custom roles, and manage Cloud API keys.

Prerequisite: This skill assumes the cloud-setup skill has already run — EC_API_KEY is set in the environment and the organization context is established. If EC_API_KEY is missing, instruct the agent to invoke cloud-setup first. Do NOT prompt the user for an API key directly.

For project creation, see the cloud-create-project skill. For day-2 project operations (list, update, delete), see cloud-manage-project. For Elasticsearch-level role management (native users, role mappings, DLS/FLS), see the elasticsearch-authz skill.

For detailed API endpoints and request schemas, see references/api-reference.md.

Jobs to Be Done

• Invite a user to the organization and assign them a Serverless project role
• List organization members and their current role assignments
• Update a user's roles (org-level or project-level)
• Remove a user from the organization
• Create an additional Cloud API key with scoped roles and expiration
• List and revoke Cloud API keys
• Create a custom role inside a Serverless project with ES cluster, index, and Kibana privileges
• Assign or remove a custom role for a user on a Serverless project using the Cloud API's application_roles
• Translate a natural-language access request into invite, role, and API key tasks

Prerequisites

Run python3 skills/cloud/access-management/scripts/cloud_access.py list-members to verify that EC_API_KEY is valid and auto-discover the org ID before proceeding with any operation.

Decomposing Access Requests

When the user describes access in natural language (for example, "add Alice to my search project as a developer"), break the request into discrete tasks before executing.

Step 1 — Identify the components

Step 2 — Check if a predefined role fits

Consult the predefined roles table below. Prefer predefined roles — only create a custom role when predefined roles do not provide the required granularity.

Step 3 — Check existing state

Before creating or inviting, check what already exists:

python3 skills/cloud/access-management/scripts/cloud_access.py list-members
python3 skills/cloud/access-management/scripts/cloud_access.py list-api-keys

If the user is already a member, skip the invitation and update their roles instead.

For API key requests , only Organization owners can create and manage Cloud API keys. If the authenticated user does not have the organization-admin role, API key operations will fail with a 403 error. Review the existing keys returned by list-api-keys. If an active key already exists for the same purpose or task with the required roles and sufficient remaining lifetime, reuse it instead of creating a new one. Two keys with identical permissions are fine when they serve different purposes (for example, separate CI pipelines), but creating a second key for the same task is unnecessary and increases the management burden.

Step 4 — Run

Run the appropriate command(s) from skills/cloud/access-management/scripts/cloud_access.py. Confirm destructive actions (remove member, revoke key) with the user before executing.

Step 5 — Verify

After execution, list members or keys again to confirm the change took effect.

Predefined Roles

Organization-level roles

Serverless project-level roles

Project-level roles are assigned during invitation (POST /organizations/{org_id}/invitations) or using the role assignment update (POST /users/{user_id}/role_assignments). See references/api-reference.md for the role_assignments JSON schema including the project scope.

Custom Roles (Serverless)

When predefined roles lack the required granularity, create a custom role inside the Serverless project using the Elasticsearch security API and assign it to users through the Cloud API's application_roles field.

Security: do not assign a predefined Cloud role separately when using a custom role. Custom roles implicitly grant Viewer-level Cloud access for the project scope. If you also assign viewer (or any other predefined role) as a separate Cloud role assignment for the same project, the user receives the union of both roles when they SSO into the project — the Viewer stack role is broader than most custom roles and will override the restrictions you intended.

How custom role assignment works

• Predefined roles (viewer, developer, admin, etc.) are assigned via Cloud APIs (invite-user, assign-role). When the user SSOs into the project, they receive the stack role mapped to their Cloud role (for example, Cloud viewer maps to the viewer stack role).
• Custom roles are created in the project via the Elasticsearch security API (create-custom-role) and assigned via the Cloud API's application_roles field (assign-custom-role). When is set, the user gets the specified custom role on SSO — not the default stack role for their Cloud role.

Canonical custom-role onboarding flow

1. Create the custom role in the project (create-custom-role).
2. Invite the user to the organization if they are not already a member (invite-user). Do not include project role assignments in the invitation — the custom role assignment in the next step handles project access.
3. Assign the custom role to the user (assign-custom-role --user-id ... --project-id ... --custom-role-name ...).
4. Verify with list-members and list-roles.

Create a custom role

python3 skills/cloud/access-management/scripts/cloud_access.py create-custom-role \
  --role-name marketing-analyst \
  --body '{"cluster":[],"indices":[{"names":["marketing-*"],"privileges":["read","view_index_metadata"]}]}'

This calls PUT /_security/role/{name} on the project Elasticsearch endpoint.

Naming constraints

Role names must begin with a letter or digit and contain only letters, digits, _, -, and .. Run-as privileges are not available in Serverless.

When to use custom roles versus predefined

For advanced DLS/FLS patterns (templated queries, ABAC), see the elasticsearch-authz skill.

Examples

Invite a user as a Viewer on a search project

Prompt: "Add alice@example.com to my search project with read-only access."

python3 skills/cloud/access-management/scripts/cloud_access.py invite-user \
  --emails alice@example.com \
  --roles '{"project":{"elasticsearch":[{"role_id":"viewer","organization_id":"$ORG_ID","all":false,"project_ids":["$PROJECT_ID"]}]}}'

Replace $ORG_ID and $PROJECT_ID with the actual IDs. The Viewer role is assigned when the invitation is accepted. For custom role access, use assign-custom-role after the user has accepted the invitation — do not combine a predefined role assignment with a custom role for the same project.

Create a CI/CD API key

Prompt: "Create an API key for our CI pipeline that expires in 30 days with editor access to all deployments."

python3 skills/cloud/access-management/scripts/cloud_access.py create-api-key \
  --description "CI/CD pipeline" \
  --expiration "30d" \
  --roles '{"deployment":[{"role_id":"deployment-editor","all":true}]}'

The actual key value is written to a secure temp file (0600 permissions). The stdout JSON contains a _secret_file path instead of the raw secret. Tell the user to retrieve the key from that file — it is shown only once. When the CI pipeline no longer needs this key, revoke it using delete-api-key to avoid unused keys accumulating.

Create a custom role for marketing data

Prompt: "Create a role that gives read-only access to marketing-* indices on my search project."

python3 skills/cloud/access-management/scripts/cloud_access.py create-custom-role \
  --role-name marketing-reader \
  --body '{"cluster":[],"indices":[{"names":["marketing-*"],"privileges":["read","view_index_metadata"]}]}'

Then assign the custom role to a user using the assign-custom-role command, which sets application_roles in the Cloud API role assignment.

Full custom-role flow for read-only dashboards

Prompt: "Add bob@example.com to my search project with read-only dashboard access."

# 1) Create custom role in the project
python3 skills/cloud/access-management/scripts/cloud_access.py create-custom-role \
  --role-name dashboard-reader \
  --body '{"cluster":[],"indices":[],"applications":[{"application":"kibana-.kibana","privileges":["feature_dashboard.read"],"resources":["*"]}]}'

# 2) Invite user to the organization (no project roles — custom role handles access)
python3 skills/cloud/access-management/scripts/cloud_access.py invite-user \
  --emails bob@example.com

# 3) After invitation is accepted, assign the custom role via application_roles
python3 skills/cloud/access-management/scripts/cloud_access.py assign-custom-role \
  --user-id "$USER_ID" \
  --project-id "$PROJECT_ID" \
  --project-type elasticsearch \
  --custom-role-name dashboard-reader

The user receives Viewer-level Cloud access (can see the project in the console) and only dashboard-reader permissions when they SSO into the project. Do not also assign viewer as a separate Cloud role for this project — doing so would grant the broader Viewer stack role and override the custom role's restrictions.

Update a user's project role

Prompt: "Promote Bob to admin on our observability project."

python3 skills/cloud/access-management/scripts/cloud_access.py assign-role \
  --user-id "$USER_ID" \
  --roles '{"project":{"observability":[{"role_id":"admin","organization_id":"$ORG_ID","all":false,"project_ids":["$PROJECT_ID"]}]}}'

Replace $USER_ID, $ORG_ID, and $PROJECT_ID with actual values. Use list-members to look up the user ID. To remove a role assignment, use remove-role-assignment with the same --roles schema.

List all members and their roles

Prompt: "Show me who has access to my organization."

python3 skills/cloud/access-management/scripts/cloud_access.py list-members

The output includes each member's user ID, email, and assigned roles.

Guidelines

• If EC_API_KEY is not set, do not prompt the user — instruct the agent to invoke cloud-setup first.
• Always confirm destructive actions (remove member, revoke key) with the user before executing.
• Prefer predefined roles over custom roles when they satisfy the access requirement.
• API keys created here are additional keys for CI/CD, scoped access, or team members. The initial key is managed by cloud-setup.
• Secrets are never printed to stdout or stderr. The script replaces sensitive fields (key, token, invitation_token) with a REDACTED placeholder in stdout and writes the full unredacted response to a temporary file with 0600 (owner-read-only) permissions. The stdout JSON includes a _secret_file path pointing to that file. Never attempt to read, extract, or summarize the contents of the secret file. If the user asks for the key, tell them to open the file at the _secret_file path. After the user retrieves the secret, advise them to delete the file.

Weekly Installs

114

Repository

elastic/agent-skills

GitHub Stars

89

First Seen

10 days ago

Security Audits

Gen Agent Trust HubPassSocketPassSnykWarn

Installed on

cursor102

github-copilot95

opencode94

gemini-cli94

codex94

amp94