
Freeunlimited Websearch
Give OpenClaw agents free, keyless DuckDuckGo web search when they need fresh facts from the open web.
Overview
freeUnlimited-websearch is an agent skill most often used in Idea (also Build, Validate) that runs free DuckDuckGo web search for OpenClaw without an API key.
Install
npx skills add https://github.com/lngu/openclaw-skill-freeunlimited-websearch --skill freeunlimited-websearchWhat is this skill?
- DuckDuckGo-backed search with no API key and no stated rate limits
- Returns JSON arrays with title, href, and body per result
- Python 3.8+ runner using the ddgs package via search.py
- Configured through ~/.openclaw/openclaw.json with gateway restart
- Auto-invoked when OpenClaw needs current web information
- No API key required for search
- Results include title, href, and body fields
- Requires Python 3.8+ and the ddgs package
Adoption & trust: 512 installs on skills.sh; 2 GitHub stars; 1/3 security scanners passed (skills.sh audits).
What problem does it solve?
You want your agent to search the web for current facts but you do not want to manage paid search API keys, quotas, or extra billing.
Who is it for?
OpenClaw users who need occasional live web lookup during agent sessions and are comfortable maintaining a small Python + ddgs environment.
Skip if: Teams that require Google/Bing-quality ranking, guaranteed SLA search, or agents that never touch the network.
When should I use this skill?
OpenClaw needs to search the web for current information during an agent session.
What do I get? / Deliverables
OpenClaw returns a JSON list of search hits with title, href, and body snippets your agent can use in research, scoping, or implementation threads.
- JSON array of web search results (title, href, body)
- Enabled freeUnlimited-websearch entry in openclaw.json
Recommended Skills
Journey fit
Spans multiple journey phases - primary shelf plus alternate fits below.
Canonical shelf is Idea → research because the skill’s main job is fetching external information before and during product decisions. Research is where solo builders most often need live web results without paying for search APIs.
Where it fits
Pull competitor landing pages and pricing mentions while exploring a niche before you commit to a build.
Verify whether a claimed integration or API still exists before you lock MVP scope.
Let the agent fetch current docs or changelog entries while wiring a third-party SDK.
How it compares
Use instead of wiring a paid SerpAPI or Bing Search integration when DuckDuckGo coverage is enough for agent research.
Common Questions / FAQ
Who is freeUnlimited-websearch for?
Solo and indie builders running OpenClaw who want agents to fetch web results without API keys or rate-limited commercial search products.
When should I use freeUnlimited-websearch?
Use it during Idea research for competitors and docs, during Validate when checking market claims, and during Build when agents need up-to-date library or error references—anytime OpenClaw should search the web automatically.
Is freeUnlimited-websearch safe to install?
Review the Security Audits panel on this Prism page, verify the GitHub source and MIT license, and treat network-enabled Python scripts like any third-party skill before enabling them in openclaw.json.
SKILL.md
READMESKILL.md - Freeunlimited Websearch
# Free Unlimited Web Search Search the web for free using DuckDuckGo - no API key or rate limits. ## Features - **Free**: No API key required - **Unlimited**: No rate limits or quotas - **Private**: Uses DuckDuckGo's privacy-focused search ## Requirements - Python 3.8+ - `ddgs` package (`pip install ddgs`) ## Installation 1. Install the `ddgs` package in a Python environment: ```bash pip install ddgs ``` 2. Clone this skill to your openclaw skills directory: ```bash git clone https://github.com/YOUR_USERNAME/openclaw-skill-freeUnlimited-websearch ~/.openclaw/skills/freeUnlimited-websearch ``` 3. Update `search.py` shebang to point to your Python with `ddgs` installed: ```bash # Edit the first line of search.py to your python path, e.g.: #!/path/to/your/venv/bin/python ``` 4. Enable the skill in `~/.openclaw/openclaw.json`: ```json { "skills": { "entries": { "freeUnlimited-websearch": { "enabled": true } } } } ``` 5. Restart openclaw: ```bash openclaw gateway restart ``` ## Usage The skill is automatically invoked when OpenClaw needs to search the web for current information. ## Output Returns JSON array of search results with `title`, `href`, and `body` fields. MIT License Copyright (c) 2026 Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Free Unlimited Web Search - OpenClaw Skill Free unlimited web search using DuckDuckGo. No API key required. ## Quick Install ```bash # Install dependency pip install ddgs # Clone to openclaw skills git clone https://github.com/LNGU/openclaw-skill-freeUnlimited-websearch ~/.openclaw/skills/freeUnlimited-websearch # Update shebang in search.py to your python path # Then enable in ~/.openclaw/openclaw.json and restart openclaw ``` See [SKILL.md](SKILL.md) for detailed instructions. ## License MIT #!/usr/bin/env python3 # search.py - DuckDuckGo web search for OpenClaw # Update the shebang above to point to a Python environment with 'ddgs' installed import sys import json from ddgs import DDGS def run_search(query): try: results = list(DDGS().text(query, max_results=5)) return json.dumps(results) except Exception as e: return json.dumps({"error": str(e)}) if __name__ == "__main__": if len(sys.argv) > 1: print(run_search(sys.argv[1])) else: print(json.dumps({"error": "No query provided"}))