A secure integration that allows AI agents to fetch credentials and secrets directly from a local LastPass vault using the lpass command-line interface.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lastpass-cli
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install lastpass-cli using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The LastPass CLI skill is a specialized utility designed to bring enterprise-grade secret management to your automated agent workflows. By interfacing directly with the local lpass binary, this skill enables an agent to programmatically retrieve usernames, passwords, and secure notes without human intervention. This makes it an essential part of the Openclaw Skills collection for users who prioritize security and automation.
Rather than storing sensitive information in plaintext configuration files, this skill allows you to keep your secrets in an encrypted vault while still making them accessible to your AI tools. It is built for efficiency, focusing on read-only secret retrieval to support complex deployment, login, and integration tasks within the Openclaw Skills ecosystem.
To use this skill, you must have the LastPass CLI installed on your host machine.
brew install lastpass-cli on macOS).lpass login [email protected]
lpass sync
lpass status
The skill utilizes a simple request schema to interface with the LastPass vault. It does not maintain a persistent database, as it queries the lpass binary in real-time.
| Input Parameter | Type | Description |
|---|---|---|
| name | string | The exact name of the entry in your LastPass vault. |
| field | string | The attribute to retrieve: password, username, notes, or raw. |
All responses are handled as secure strings within the agent's memory and are not logged to disk by the Openclaw Skills framework.
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