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One Password

Community
AlexAI-MCP
one-password

1Password CLI integration — retrieve secrets, manage vaults, inject credentials into scripts without hardcoding.

Overview

PublisherAlexAI-MCP
Repositoryhermes-CCC
Skill nameone-password
Stars
134
Forks
22
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AlexAI-MCP on GitHub. Read the source before you install it.

Installation

Install the One Password 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.
    https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/one-password
  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/AlexAI-MCP/hermes-CCC.git /tmp/hermes-CCC
mkdir -p .claude/skills
cp -r /tmp/hermes-CCC/skills/one-password .claude/skills/one-password
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable One Password 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 One Password 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 One Password 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.

1Password CLI

Retrieve secrets and manage credentials from 1Password without hardcoding them in scripts or environment files.

Setup

bash
# Install 1Password CLI (op)
# macOS
brew install 1password-cli

# Linux
curl -sS https://downloads.1password.com/linux/keys/1password.asc | gpg --import
# See: developer.1password.com/docs/cli/get-started

# Windows
winget install AgileBits.1Password.CLI

# Verify
op --version

Authentication

bash
# Sign in (opens browser or prompts)
op signin

# Or with service account (CI/CD)
export OP_SERVICE_ACCOUNT_TOKEN="eyJhbGci..."

# Check auth
op whoami

Read Secrets

bash
# Read a field from an item
op item get "AWS Credentials" --field "access key id"
op item get "GitHub Token" --field password

# Read by item ID
op item get "abc123xyz" --field password

# Read as env var format
op item get "AWS Credentials" --format json

Inject into Environment

bash
# op run: inject secrets into any command
op run --env-file=".env.1password" -- python my_script.py

# .env.1password format:
# AWS_ACCESS_KEY_ID=op://Private/AWS Credentials/access key id
# AWS_SECRET_ACCESS_KEY=op://Private/AWS Credentials/secret access key
# DATABASE_URL=op://Work/Production DB/connection string

Secret Reference Syntax

op://VAULT/ITEM/FIELD
op://Private/GitHub/token
op://Work/AWS Production/access key id

Use in .env.1password or in shell scripts:

bash
export GITHUB_TOKEN=$(op item get "GitHub" --field token)
export DB_PASS=$(op item get "PostgreSQL Prod" --field password)

In Python Scripts

python
import subprocess

def get_secret(vault, item, field):
    result = subprocess.run(
        ["op", "item", "get", item, "--vault", vault, "--field", field],
        capture_output=True, text=True, check=True
    )
    return result.stdout.strip()

db_password = get_secret("Work", "PostgreSQL Prod", "password")
api_key = get_secret("Private", "OpenAI", "api key")

List and Search

bash
# List all vaults
op vault list

# List items in vault
op item list --vault Private

# Search
op item list --categories Login --tags production

Create Items

bash
# Create a login
op item create \
  --category Login \
  --title "My Service" \
  --vault Work \
  username="admin" \
  password="$(openssl rand -base64 32)"

# Create an API credential
op item create \
  --category "API Credential" \
  --title "OpenAI" \
  credential="sk-..."

CI/CD Integration

yaml
# GitHub Actions
- name: Configure 1Password
  uses: 1password/load-secrets-action@v2
  with:
    export-env: true
  env:
    OP_SERVICE_ACCOUNT_TOKEN: ${{ secrets.OP_SERVICE_ACCOUNT_TOKEN }}
    AWS_ACCESS_KEY_ID: op://CI/AWS/access-key-id
    AWS_SECRET_ACCESS_KEY: op://CI/AWS/secret-access-key

SSH Key Management

bash
# 1Password SSH Agent (stores SSH keys in 1Password)
# Enable in 1Password Settings → Developer → SSH Agent

# Use in ~/.ssh/config:
Host github.com
  IdentityAgent "~/Library/Group Containers/.../agent.sock"

# List SSH keys
op item list --categories "SSH Key"

Why Use 1Password CLI

  • No secrets in .env files committed to git
  • Rotate credentials without touching code
  • Audit log of who accessed what
  • Works offline (cached vault)
  • Team sharing without exposing plaintext

Frequently asked questions

What does the One Password AI skill do?

1Password CLI integration — retrieve secrets, manage vaults, inject credentials into scripts without hardcoding.

Why use One Password on TypingMind?

Because you install it once and use it with any model. One Password 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 One Password in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AlexAI-MCP/hermes-CCC/tree/master/skills/one-password. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use One Password?

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 One Password?

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

Is the One Password AI skill free?

Yes. It is published on GitHub by AlexAI-MCP under the MIT 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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