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ohmaxy

Mxy Web Search

by ohMaxy · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install mxy-web-search
Description
Web search without an API key using DuckDuckGo Lite via web_fetch. Use as a fallback when web_search fails with missing_brave_api_key error, or whenever you...
README (SKILL.md)

DuckDuckGo Search via web_fetch

Search the web using DuckDuckGo Lite's HTML interface, parsed via web_fetch. No API key or package install required.

How to Search

web_fetch(url="https://lite.duckduckgo.com/lite/?q=QUERY", extractMode="text", maxChars=8000)
  • URL-encode the query — use + for spaces
  • Use extractMode="text" (not markdown) for clean results
  • Increase maxChars for more results

Region Filtering

Append &kl=REGION for regional results:

  • au-en — Australia
  • us-en — United States
  • uk-en — United Kingdom
  • de-de — Germany
  • fr-fr — France

Full list: https://duckduckgo.com/params

Example — Australian search

web_fetch(url="https://lite.duckduckgo.com/lite/?q=best+coffee+melbourne&kl=au-en", extractMode="text", maxChars=8000)

Reading Results

Results appear as numbered items with title, snippet, and URL. Skip entries marked "Sponsored link" (ads) — organic results follow.

Search-then-Fetch Pattern

  1. Search — query DDG Lite for a list of results
  2. Pick — identify the most relevant URLs
  3. Fetch — use web_fetch on those URLs to read full content

Tips

  • First 1-2 results may be ads — skip to organic results
  • For exact phrases, wrap in quotes: q=%22exact+phrase%22
  • Add specific terms to narrow results (site name, year, location)

Limitations

  • No time/date filtering (DDG Lite doesn't support &df= reliably via fetch)
  • Text results only — no images or videos
  • Results sourced from Bing (may differ from Google)
  • Google search does NOT work via web_fetch (captcha blocked)
Usage Guidance
This skill appears to do exactly what it says: perform DuckDuckGo Lite searches using the agent's web_fetch tool and optionally fetch result pages. No credentials or installs are required. Things to consider before installing: 1) Privacy — queries and fetched pages will be sent over the network to DuckDuckGo and to any linked sites; avoid sending sensitive secrets in queries. 2) Auditing — the package has no homepage/source and the _meta.json ownerId differs from the registry owner id shown in metadata, which reduces provenance; if provenance matters, ask the publisher for source or a repo. 3) Fetch behavior — because the skill may fetch arbitrary result URLs, it can retrieve third-party content; if you want to limit risk, keep it user-invocable only (it already is) and avoid enabling autonomous invocation in high-sensitivity contexts. Overall this is internally coherent and low-risk, but verify your environment's web_fetch privacy/logging policy if network exposure is a concern.
Capability Analysis
Type: OpenClaw Skill Name: mxy-web-search Version: 1.0.0 The skill provides instructions for an AI agent to perform web searches using DuckDuckGo Lite's HTML interface via the built-in 'web_fetch' tool. It contains no executable code, no data exfiltration logic, and no malicious prompt injection, serving only as a documentation-based guide for search fallback (SKILL.md).
Capability Assessment
Purpose & Capability
The name/description (DDG Lite web search fallback) matches the SKILL.md instructions: calling web_fetch on https://lite.duckduckgo.com/lite/?q=QUERY and fetching result pages. No unrelated binaries, credentials, or installs are requested.
Instruction Scope
Instructions stay within search/fetch scope: perform a DDG Lite query, parse titles/snippets/URLs, then optionally fetch linked pages. Note: fetching linked pages means the agent will retrieve arbitrary third-party webpages (expected for a search skill) — this can surface sensitive content or cause network requests to external sites.
Install Mechanism
No install spec (instruction-only), so nothing is written to disk or downloaded. This is the lowest-risk install model and matches the stated zero-dependency claim.
Credentials
The skill declares no environment variables, credentials, or config paths — consistent with a simple web-fetch-based search. There are no unexplained secret requests.
Persistence & Privilege
always:false and model invocation not disabled (defaults). The skill does not request elevated persistence or system-wide config changes; autonomous invocation is normal for skills.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install mxy-web-search
  3. After installation, invoke the skill by name or use /mxy-web-search
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release: DuckDuckGo web search via web_fetch with no API key required. - Returns titles, URLs, and snippets for research and general queries. - Supports regional result filtering using `&kl=REGION` parameter. - Provides step-by-step usage examples and tips for clean results. - Designed as a fallback when standard web_search fails due to missing API keys; zero additional dependencies.
Metadata
Slug mxy-web-search
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Mxy Web Search?

Web search without an API key using DuckDuckGo Lite via web_fetch. Use as a fallback when web_search fails with missing_brave_api_key error, or whenever you... It is an AI Agent Skill for Claude Code / OpenClaw, with 389 downloads so far.

How do I install Mxy Web Search?

Run "/install mxy-web-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Mxy Web Search free?

Yes, Mxy Web Search is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Mxy Web Search support?

Mxy Web Search is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Mxy Web Search?

It is built and maintained by ohMaxy (@ohmaxy); the current version is v1.0.0.

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