What breaks without openclaw multi search skill

Single-engine blind spots. Incomplete research coverage. Cross-engine corroboration done manually.

→

Merged results from three engines in one query × 170-star aggregation skill ÷ 10–15 minutes ÷ independent rate limits per engine = research coverage no single engine matches.

openclaw multi search skill — what it actually does

Queries multiple search engines simultaneously and merges the results.

Supports Google, Bing, and Brave with per-engine API key configuration.

Limits active engines with --engines flag for targeted searches.

Deduplicates results by URL to reduce noise in merged output.

Security check — openclaw multi search skill

Privacy score: 7/10 — accesses connected platform APIs only. Lock it: review OAuth scopes before install, confirm macOS, Linux; OpenClaw ≥1.0 compatibility.

Quick start — openclaw multi search skill in 10–15 minutes

Setup time: 10–15 minutes

You need:

OpenClaw core
API keys for desired search engines

Install the package:

# Install via ClawhHub
clawhub install gpyangyoujun/multi-search-engine

Set any combination of GOOGLE_API_KEY, BING_API_KEY, BRAVE_API_KEY in .env

Install the skill

Run /msearch <query> to search all configured engines

Use --engines google,brave to limit engines

Troubleshooting openclaw multi search skill

1. Result deduplication is URL-based — paraphrased duplicates may slip through

2. Each configured engine counts against its own rate limit independently

Compatibility & status

Works with: macOS, Linux; OpenClaw ≥1.0 beginner Last updated: Oct 2025 ★ 170 on GitHub MIT

Official docs →

View on GitHub →

Related — more like openclaw multi search skill

Run one engine, miss the answer, and keep searching manually. Configure multi-search now before the next research sprint.

Get it on GitHub →

Multi Search Engine