cloud-access-management

elastic/agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/elastic/agent-skills --skill cloud-access-management
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summary

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.
skill.md

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
  • 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 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-role command sets role_id to 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_roles to gain ES/Kibana API access on Serverless projects. See Cloud API Keys — ES and Kibana API Access below for details.

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

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 w

how to use cloud-access-management

How to use cloud-access-management on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add cloud-access-management
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/elastic/agent-skills --skill cloud-access-management

The skills CLI fetches cloud-access-management from GitHub repository elastic/agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/cloud-access-management

Reload or restart Cursor to activate cloud-access-management. Access the skill through slash commands (e.g., /cloud-access-management) or your agent's skill management interface.

Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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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

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.729 reviews
  • Chinedu Mensah· Dec 12, 2024

    Keeps context tight: cloud-access-management is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Noah Brown· Nov 15, 2024

    Useful defaults in cloud-access-management — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Maya Iyer· Nov 3, 2024

    cloud-access-management has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Anika Liu· Oct 22, 2024

    Solid pick for teams standardizing on skills: cloud-access-management is focused, and the summary matches what you get after install.

  • Fatima Rahman· Oct 6, 2024

    I recommend cloud-access-management for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Advait Nasser· Sep 17, 2024

    cloud-access-management fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Charlotte Martin· Sep 13, 2024

    We added cloud-access-management from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Dhruvi Jain· Sep 9, 2024

    cloud-access-management is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Oshnikdeep· Aug 28, 2024

    Keeps context tight: cloud-access-management is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Soo Ghosh· Aug 8, 2024

    We added cloud-access-management from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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