OpenClaw API Key Security: Stop Sharing Plaintext API Keys

OpenClaw is powerful because it connects an AI agent to real systems: email, calendars, browsers, files, shell commands, messaging channels, cloud APIs, and custom skills.

That is also why credential handling matters. An ordinary app might leak one API key. An agent with broad skills can leak the key, use it, paste it into chat, write it into memory, commit it to a repo, or pass it to another tool.

Public OpenClaw documentation describes the platform as open-source, self-hosted, and integrated with dozens of channels and thousands of skills. Public security guidance also warns that OpenClaw has had critical vulnerabilities, exposed instances, malicious marketplace skills, and plaintext credential risks. Sources: OpenClaw docs and ClawDocs security overview.

This post focuses on one practical slice of that bigger security problem:

1. Getting credentials into OpenClaw safely when configuring skills.
2. Keeping credentials out of prompts, chat history, and logs while the agent runs.
3. Delivering secrets back to humans safely when the agent creates or retrieves a credential.

The Credential Threat Model

OpenClaw-style agents create several credential paths that traditional setup guides often blur together.

Path	Common mistake	Safer pattern
Teammate sends you a skill API key	Key pasted in Slack or email	One-time encrypted link, then store locally or in a vault
Skill reads credentials at runtime	Plaintext value in prompts or tool args	Opaque handle resolved by trusted runtime
Agent generates a new password or token	Agent dumps it into chat	Agent creates a one-time link and sends only the link
Skill config is backed up	YAML with secrets synced to cloud storage	OS keychain, vault, encrypted disk, or excluded local file
Agent delegates to another skill	Parent passes raw credential downstream	Broker checks policy and executes privileged action

The key idea: the LLM should never be the place where secrets live. Treat the LLM like an untrusted caller. It can request actions, but a trusted runtime should hold credentials, enforce policy, and redact outputs.

Problem 1: Skill Setup Needs Secrets

Every useful skill eventually needs access to something:

• Gmail or Google Workspace OAuth tokens.
• Stripe, OpenAI, Anthropic, or GitHub API keys.
• AWS, GCP, or Azure credentials.
• Smart-home hub credentials.
• Database URLs or webhook signing secrets.

A risky setup flow looks like this:

# ~/.openclaw/skills/gmail.yaml
provider: gmail
credentials:
  client_id: "812345678.apps.googleusercontent.com"
  client_secret: "GOCSPX-abc123..."
  refresh_token: "1//0abc123..."

The YAML file is not the only problem. The question is how the values got there.

If a teammate pasted the client_secret into Slack, the leak already happened before OpenClaw ever started. If the file lives in a synced folder, private dotfiles repo, or unencrypted backup, the leak risk continues after setup.

Safe Provisioning Workflow

Use this workflow when someone needs to share API keys securely and hand you an OpenClaw credential.

1. The sender generates or retrieves the credential from the provider.
2. The sender creates a one-time encrypted link with a short expiration.
3. The sender sends only the link through Slack, email, or the channel you already use.
4. You open the link once and store the value in the right local secret source.
5. If the credential was temporary, you rotate or revoke it after bootstrap.

With SnapPwd:

# Install once
npm install -g @snappwd/cli

# Create a one-time link for a setup value
printf "%s" "$OPENCLAW_STRIPE_TEST_KEY" | snappwd put

If you need to share a small config bundle:

snappwd put-file ./openclaw-sandbox.env

Each link should work once. If you are provisioning five machines, create five links. That gives every handoff its own expiration and consumption event instead of one reusable URL floating through chat.

Where To Store OpenClaw Credentials

Prefer this order:

1. Provider-native OAuth or device authorization when available.
2. OS keychain or credential manager for local user secrets.
3. Vault or cloud secrets manager for team-managed runtime credentials.
4. Encrypted local config file excluded from git and cloud sync.
5. Plaintext local config file only for low-risk development values, with disk encryption enabled.

Avoid:

• Skill configs committed to git.
• Secrets in SOUL.md, memory files, prompts, or examples.
• Secrets in chat transcripts.
• Long-lived production keys on hobby or test OpenClaw instances.
• One shared all-purpose provider key for every skill.

For the broader storage and rotation checklist, pair this with the API key security best practices guide.

Problem 2: Runtime Secret Exposure

Do not pass real credentials through prompts or tool schemas.

Risky:

tool_args = {
    "api_key": os.environ["STRIPE_SECRET_KEY"],
    "action": "create_customer"
}

Safer:

tool_args = {
    "credential_handle": "stripe_sandbox",
    "action": "create_customer"
}

The LLM sees stripe_sandbox, not the actual key. A trusted tool runtime resolves the handle, checks policy, calls Stripe, and returns a redacted result.

That policy check should answer:

• Is this agent allowed to use this credential handle?
• Is the requested action allowed for this skill?
• Is the target environment production, staging, or sandbox?
• Should a human approve this action first?
• What should be logged without exposing the secret?

For example:

{
  "agent_id": "openclaw-calendar-assistant",
  "tool": "stripe.create_customer",
  "credential_handle": "stripe_sandbox",
  "environment": "sandbox",
  "status": "success",
  "secret_values_logged": false
}

The audit log should prove what happened without becoming a second credential store.

Problem 3: Agents Generate Secrets Too

Agents do not only consume credentials. They can produce them:

• Create a database and receive a connection string.
• Generate a temporary password for a guest account.
• Rotate an API key and receive the replacement.
• Create a Wi-Fi guest password or smart-lock code.
• Pull a recovery code from a vault for a human operator.

The unsafe default is for the agent to paste the result into chat:

Done. The new database password is kX9#mP2$vL7!nQ4@.

That puts the secret into the exact systems you were trying to avoid: Telegram history, Slack exports, mobile previews, logs, and screenshots.

Agent-to-Human Delivery Pattern

Instead of returning the secret, have the agent return a one-time link.

import subprocess

def deliver_secret_once(secret: str, label: str = "Secret") -> str:
    result = subprocess.run(
        ["snappwd", "put"],
        input=secret,
        text=True,
        capture_output=True,
        check=True,
    )

    link = result.stdout.strip()
    return f"{label} is ready: {link} (opens once)"

The local CLI encrypts before upload and returns a link. The chat contains only the delivery URL. After the human opens it, the stored encrypted payload is gone.

For high-value secrets, add one more control:

• Require a human confirmation before the agent creates the link.
• Use a short unread expiration.
• Send an additional passphrase through a separate channel.
• Rotate the credential after the recipient stores it.

OpenClaw Skill Security Checklist

Use this checklist before enabling any skill that touches credentials:

• The skill does not ask the LLM to hold raw credentials.
• Tool schemas expose credential handles, not secret values.
• The runtime resolves handles from a keychain, vault, or encrypted config.
• Credentials are scoped per skill, provider, environment, and task.
• Production credentials require explicit approval or a stronger policy.
• Skill config files are excluded from git and cloud sync.
• Logs redact tokens, passwords, connection strings, cookies, and auth headers.
• Agent responses never print raw generated secrets.
• Human delivery uses one-time links for generated credentials.
• Exposed credentials are rotated before the incident discussion continues.

What SnapPwd Does, and What It Does Not Do

SnapPwd helps with the delivery moment: one person or process has a secret, another human needs to receive it once, and the secret should not remain in Slack, email, or chat history.

It does not replace:

• OpenClaw hardening.
• Skill review.
• Runtime sandboxing.
• Identity provider policies.
• Secrets managers.
• Provider-side key rotation.

That boundary is important. Use SnapPwd for transient handoffs. Use a vault, keychain, or provider-native auth for durable storage and runtime access.

Try the Safe Handoff

If you are setting up an OpenClaw skill today, send a test credential through a one-time link first. Once the workflow feels natural, use it for secure API key sharing on real bootstrap secrets instead of pasting them into chat.