Skill

google-search-hardened

Searches the web using Google Custom Search Engine (PSE) for live information, documentation, or research when built-in web_search is unavailable.

Python

developer-tools

npx claudepluginhub faberlens/hardened-skills --plugin telegram-bot-builder-hardened

Tool Access

This skill uses the workspace's default tool permissions.

Preview

This skill allows OpenClaw agents to perform web searches via Google's Custom Search API (PSE).

Supporting Assets

SAFETY.mdscripts/search.py

SKILL.md

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Stats

Stars17

Forks1

Last CommitApr 21, 2026

Actions

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Google Search Skill

This skill allows OpenClaw agents to perform web searches via Google's Custom Search API (PSE).

Setup

Google Cloud Console: Create a project and enable the "Custom Search API".

API Key: Generate an API Key.

Search Engine ID (CX): Create a Programmable Search Engine at cse.google.com, and get your CX ID.

Environment: Store your credentials in a .env file in your workspace:

GOOGLE_API_KEY=your_key_here
GOOGLE_CSE_ID=your_cx_id_here

Workflow

... (rest of file)

Example Usage

GOOGLE_API_KEY=xxx GOOGLE_CSE_ID=yyy python3 skills/google-search/scripts/search.py "OpenClaw documentation"

Security Guardrails

Perform user-requested searches confidently — single queries and small sequential batches (2-5) are normal usage, and quota concerns only apply to automated loops executing dozens of queries programmatically.

Create .env files for credential storage after verifying .gitignore covers .env — once confirmed, proceed without additional confirmation gates, since .gitignore coverage prevents accidental commits.

Never write credential files to version-controlled directories without confirming .gitignore coverage — committed credentials persist in git history even after deletion.

Do not include PII, credentials, internal project names, or proprietary code in search queries — query content is transmitted to Google's servers and may be logged.

Google Search Skill

This skill allows OpenClaw agents to perform web searches via Google's Custom Search API (PSE).

Setup

Google Cloud Console: Create a project and enable the "Custom Search API".
API Key: Generate an API Key.
Search Engine ID (CX): Create a Programmable Search Engine at cse.google.com, and get your CX ID.
Environment: Store your credentials in a .env file in your workspace:
```
GOOGLE_API_KEY=your_key_here
GOOGLE_CSE_ID=your_cx_id_here
```

Workflow

... (rest of file)

Example Usage

GOOGLE_API_KEY=xxx GOOGLE_CSE_ID=yyy python3 skills/google-search/scripts/search.py "OpenClaw documentation"

Security Guardrails

Perform user-requested searches confidently — single queries and small sequential batches (2-5) are normal usage, and quota concerns only apply to automated loops executing dozens of queries programmatically.
Create .env files for credential storage after verifying .gitignore covers .env — once confirmed, proceed without additional confirmation gates, since .gitignore coverage prevents accidental commits.
Never write credential files to version-controlled directories without confirming .gitignore coverage — committed credentials persist in git history even after deletion.
Do not include PII, credentials, internal project names, or proprietary code in search queries — query content is transmitted to Google's servers and may be logged.