SKILL.md
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- 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
- Create a Cloud API key that can also call Elasticsearch and Kibana APIs on Serverless projects
- 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 and permissions
Item
Description
EC_API_KEY
Cloud API key (set by cloud-setup). Required for all operations.
Organization ID
Auto-discovered using GET /organizations. Do not ask the user for it.
Project endpoint
Elasticsearch endpoint of a Serverless project. Required only for custom role operations.
ES credentials
API key or credentials with manage_security privilege on the project. Required only for custom roles.
Org owner role
Only Organization owners can create and manage Cloud API keys. Required for API key operations.
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.
Operation-level permissions
The following permissions are required for common access management operations in Elastic Cloud Serverless.
Operation
Required permission
Invite / remove members
Organization owner (organization-admin)
Assign or remove roles
Organization owner (organization-admin)
Create / revoke Cloud API keys
Organization owner (organization-admin)
List members, invitations, or keys
Any organization member
Create / delete custom roles
manage_security cluster privilege on the project ES endpoint
This skill does not perform a separate role pre-check. Attempt the requested operation and let the API enforce
authorization. If the API returns an authorization error (for example, 403 Forbidden), stop and ask the user to verify
the provided API key permissions.
Manual setup fallback (when cloud-setup is unavailable)
If this skill is installed standalone and cloud-setup is not available, instruct the user to configure Cloud
environment variables manually before running commands. Never ask the user to paste API keys in chat.
Variable
Required
Description
EC_API_KEY
Yes
Elastic Cloud API key with Organization owner role.
EC_BASE_URL
No
Cloud API base URL (default: https://api.elastic-cloud.com).
ELASTICSEARCH_URL
Conditional
Elasticsearch URL. Required only for custom role operations.
ELASTICSEARCH_API_KEY
Conditional
Elasticsearch API key with manage_security privilege. Required only for custom role operations.
Note: If EC_API_KEY is missing, or the user does not have a Cloud API key yet, direct the user to generate one
at Elastic Cloud API keys, then configure it locally using the steps below.
Preferred method (agent-friendly): create a .env file in the project root:
EC_API_KEY=your-api-key
EC_BASE_URL=https://api.elastic-cloud.com
# Only needed for custom role operations against the project Elasticsearch endpoint:
# ELASTICSEARCH_URL=https://<project-id>.es.<region>.elastic-cloud.com
# ELASTICSEARCH_API_KEY=<your-es-manage-security-api-key>
All cloud/* scripts auto-load .env from the working directory.
Alternative: export directly in the terminal:
export EC_API_KEY="<your-cloud-api-key>"
export EC_BASE_URL="https://api.elastic-cloud.com"
# Only needed for custom role operations against the project Elasticsearch endpoint:
# export ELASTICSEARCH_URL="https://<project-id>.es.<region>.elastic-cloud.com"
# export ELASTICSEARCH_API_KEY="<your-es-manage-security-api-key>"
Terminal exports may not be visible to sandboxed agents running in separate shell sessions, so prefer .env when using
an agent.
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
Component
Question to answer
Who
New org member (invite) or existing member (role update)?
What
Which Serverless project(s) or org-level access?
Access level
Predefined role (Admin/Developer/Viewer/Editor) or custom role?
API key?
Does the request also need a Cloud API key for programmatic access?
Step 2 — Check if a predefined role fits
Consult the [predefined roles table](#predefined-roles) 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
Role
Cloud API role_id
Description
Organization owner
organization-admin
Full admin over org, deployments, projects
Billing admin
billing-admin
Manage billing details only
Serverless project-level roles
Role
Cloud API role_id
Available on
Description
Admin
admin
Search, Obs, Security
Full project management, superuser on sign-in
Developer
developer
Search only
Create indices, API keys, connectors, visualizations
Viewer
viewer
Search, Obs, Security
Read-only access to project data and features
Editor
editor
Obs, Security
Configure project features, read-only data indices
Tier 1 analyst
t1_analyst
Security only
Alert triage, general read, create dashboards
Tier 2 analyst
t2_analyst
Security only
Alert triage, begin investigations, create cases
Tier 3 analyst
t3_analyst
Security only
Deep investigation, rules, lists, response actions
SOC manager
soc_manager
Security only
Alerts, cases, endpoint policy, response actions
Rule author
rule_author
Security only
Detection engineering, rule creation
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 application_roles is set, the user gets
only the specified custom role on SSO — not the default stack role for their Cloud role.
- The
assign-custom-rolecommand setsrole_idto the project-type Viewer role (elasticsearch-viewer,
observability-viewer, or security-viewer) and sets application_roles to the custom role name. This ensures the
user can see and access the project in the Cloud console but receives only the custom role's restricted permissions
inside the project.
- Cloud API keys can also use
application_rolesto gain ES/Kibana API access on Serverless projects. See
[Cloud API Keys — ES and Kibana API Access](#cloud-api-keys--es-and-kibana-api-access) below for details.
Canonical custom-role onboarding flow
- Create the custom role in the project (
create-custom-role).
- 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.
- Assign the custom role to the user (
assign-custom-role --user-id ... --project-id ... --custom-role-name ...).
- Verify with
list-membersandlist-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
Scenario
Use
Standard admin/developer/viewer access
Predefined role
Read-only access to specific index pattern
Custom role
DLS or FLS restrictions
Custom role
Kibana feature-level access control
Custom role
For advanced DLS/FLS patterns (templated queries, ABAC), see the elasticsearch-authz skill.
Cloud API Keys — ES and Kibana API Access
Cloud API keys can now optionally access Elasticsearch and Kibana APIs on Serverless projects, in addition to the Cloud
API. This enables a single credential for both control plane (Cloud API) and data plane (ES/Kibana API) operations — for
example, a CI pipeline that creates a project via Cloud API and then indexes data via ES API.
How it works
Add application_roles to the key's role_assignments at creation time. This field accepts an array of predefined role
names (admin, developer, viewer, and solution-specific roles like t1_analyst, editor) or custom role names
created in the project via PUT /_security/role/{name}. Predefined roles are available in every project by default.
Custom roles must be created individually in each project where the key should have access — if a referenced custom role
does not exist in a project, the key silently gets no access there.
Critical rule: no implicit inheritance
Unlike users, API keys never inherit stack roles from their role_id. If application_roles is omitted or empty,
the key has Cloud API access only. Calling an ES or Kibana endpoint with such a key returns 403 Forbidden. This is
by design for backward compatibility — existing keys without application_roles continue to work as Cloud-only keys.
Scoping modes
-
Project-scoped (preferred) — grants access to specific projects or all projects of a given type. Uses the
project key in role_assignments with application_roles on each entry. Use this by default unless the user
explicitly needs cross-project access.
-
Organization-scoped — grants access to all current and future projects in the organization. Uses the
organization key in role_assignments with application_roles. This is the broadest possible data-plane scope.
Only use when the key genuinely needs access to every project (for example, platform automation or cross-project
search across the whole org). Always confirm with the user before creating an org-scoped key with application_roles,
as it grants ES/Kibana access to projects that may not exist yet.
Custom roles and org-scoped access: When using a custom role name in application_roles with organization-scoped
assignments, the custom role must exist in each project where you want the key to have access. If a project does not
have that custom role defined (via PUT /_security/role/{name}), the key silently gets no access to that project — no
error is raised. For org-wide access, prefer predefined roles (admin, developer, viewer) which are available in
every project by default. If you must use custom roles across multiple projects, ensure the role is created in each
target project first.
Agent guidance: When a user asks for an API key with ES/Kibana access, default to project-scoped assignments. Only
suggest organization-scoped application_roles if the user explicitly needs access across all projects. Confirm the
intent before proceeding — org-scoped access applies to future projects too. If the user specifies a custom role name
with org-scoped access, warn them that the role must be defined in each project individually.
Examples
Project-scoped key with developer ES access (using --stack-access convenience flag):
python3 skills/cloud/access-management/scripts/cloud_access.py create-api-key \
--description "CI pipeline - ES ingest" \
--expiration 30d \
--roles '{"project":{"elasticsearch":[{"role_id":"developer","organization_id":"$ORG_ID","all":true}]}}' \
--stack-access developer
Organization-scoped key with admin ES access (access to ALL projects — use with caution):
python3 skills/cloud/access-management/scripts/cloud_access.py create-api-key \
--description "Platform automation" \
--expiration 7d \
--roles '{"organization":[{"role_id":"organization-admin","organization_id":"$ORG_ID"}]}' \
--stack-access admin
Project-scoped key with a custom role (raw JSON):
python3 skills/cloud/access-management/scripts/cloud_access.py create-api-key \
--description "Marketing ETL" \
--expiration 14d \
--roles '{"project":{"elasticsearch":[{"role_id":"elasticsearch-viewer","organization_id":"$ORG_ID","all":false,"project_ids":["$PROJECT_ID"],"application_roles":["marketing-writer"]}]}}'
Replace $ORG_ID and $PROJECT_ID with the actual organization and project IDs. Use list-members to discover the org
ID.
Common mistake: If your API key gets a 403 when calling an ES or Kibana endpoint, the most likely cause is missing
application_roles. Unlike users, API keys must have explicit application_roles to access the stack — the role_id
alone is not sufficient.
Examples
Invite a user as a Viewer on a search project
Prompt: "Add alice@example.com to my search project with read-only access."
python3 skills/cloud/access-management/scripts/cloud_access.py invite-user \
--emails alice@example.com \
--roles '{"project":{"elasticsearch":[{"role_id":"viewer","organization_id":"$ORG_ID","all":false,"project_ids":["$PROJECT_ID"]}]}}'
Replace $ORG_ID and $PROJECT_ID with the actual IDs. The Viewer role is assigned when the invitation is accepted.
For custom role access, use assign-custom-role after the user has accepted the invitation — do not combine a
predefined role assignment with a custom role for the same project.
Create a CI/CD API key
Prompt: "Create an API key for our CI pipeline that expires in 30 days with editor access to all deployments."
python3 skills/cloud/access-management/scripts/cloud_access.py create-api-key \
--description "CI/CD pipeline" \
--expiration "30d" \
--roles '{"deployment":[{"role_id":"deployment-editor","all":true}]}'
The actual key value is written to a secure temp file (0600 permissions). The stdout JSON contains a _secret_file path
instead of the raw secret. Tell the user to retrieve the key from that file — it is shown only once. When the CI
pipeline no longer needs this key, revoke it using delete-api-key to avoid unused keys accumulating.
Create a CI/CD API key with ES access
Prompt: "Create an API key for our CI pipeline that can index data into our search projects."
python3 skills/cloud/access-management/scripts/cloud_access.py create-api-key \
--description "CI pipeline - ES ingest" \
--expiration 30d \
--roles '{"project":{"elasticsearch":[{"role_id":"developer","organization_id":"$ORG_ID","all":true}]}}' \
--stack-access developer
Replace $ORG_ID with the actual organization ID. The --stack-access flag injects application_roles: ["developer"]
into the role assignments, granting the key developer-level ES/Kibana API access on all Elasticsearch projects. Without
--stack-access (or explicit application_roles in the JSON), the key would only have Cloud API access and receive 403
on ES/Kibana calls.
Create a custom role for marketing data
Prompt: "Create a role that gives read-only access to marketing-* indices on my search project."
python3 skills/cloud/access-management/scripts/cloud_access.py create-custom-role \
--role-name marketing-reader \
--body '{"cluster":[],"indices":[{"names":["marketing-*"],"privileges":["read","view_index_metadata"]}]}'
Then assign the custom role to a user using the assign-custom-role command, which sets application_roles in the
Cloud API role assignment.
Full custom-role flow for read-only dashboards
Prompt: "Add bob@example.com to my search project with read-only dashboard access."
# 1) Create custom role in the project
python3 skills/cloud/access-management/scripts/cloud_access.py create-custom-role \
--role-name dashboard-reader \
--body '{"cluster":[],"indices":[],"applications":[{"application":"kibana-.kibana","privileges":["feature_dashboard.read"],"resources":["*"]}]}'
# 2) Invite user to the organization (no project roles — custom role handles access)
python3 skills/cloud/access-management/scripts/cloud_access.py invite-user \
--emails bob@example.com
# 3) After invitation is accepted, assign the custom role via application_roles
python3 skills/cloud/access-management/scripts/cloud_access.py assign-custom-role \
--user-id "$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_KEYis 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.
- Cloud API keys inherit roles at creation and cannot be updated — revoke and recreate to change roles.
- API key hygiene — minimize, scope, and expire:
- Before creating a key, always run
list-api-keysand check whether an existing key for the same purpose or task
already has the required roles and sufficient remaining lifetime. Keys with identical permissions serving different
purposes (for example, two separate CI pipelines) are legitimate — the goal is to avoid redundant keys for the same
task.
- Always set an
--expirationthat matches the intended task lifetime. Short-lived tasks (CI runs, one-time
migrations) should use short-lived keys (for example, 1d, 7d).
- After a task is complete, prompt the user to revoke any keys that are no longer needed using
delete-api-key. This
applies to both short-lived and long-running keys.
- Long-running keys (for example, monitoring pipelines) should still have a defined expiration and be rotated
periodically rather than set to never expire.
- Each organization supports up to 500 active API keys. Default expiration is 3 months.
- Invitations expire after 72 hours by default. Resend if the user has not accepted.
- For SAML SSO configuration, refer to
- Custom role security — do not over-assign: Never assign a predefined Cloud role (for example,
viewer) for a
project when using assign-custom-role for the same project. The custom role assignment implicitly grants
Viewer-level Cloud access. Adding a predefined role on top widens the user's in-project permissions beyond what the
custom role intended.
- If a custom role exists but the user cannot access the project, verify the role was assigned with
assign-custom-role
(which uses application_roles in the Cloud API). Creating a custom role alone does not grant project access — the
Cloud API assignment is required.
- For network-level security (traffic filters, private links), see the cloud-network-security skill.
- For ES-level role management beyond Cloud roles (native users, DLS/FLS), see elasticsearch-authz.