Local Web Search

CommunityPopular

uluckyXH

local-web-search

Use when the user asks for web search that should run via the local-160 Responses API with web_search tool (base URL like https://proxy.example.com, model gpt-5.2-codex(xhigh)). Includes script to query the local endpoint and return summary + citations; use for periodic news monitoring and on-demand searches.

Overview

Publisher	uluckyXH
Repository	`OpenMOSS`
Skill name	`local-web-search`
Stars	1.3K
Forks	146
Bundled files	2
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by uluckyXH on GitHub. Read the source before you install it.

Installation

Install the Local Web Search AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/uluckyXH/OpenMOSS.git /tmp/OpenMOSS
mkdir -p .claude/skills
cp -r /tmp/OpenMOSS/skills/local-web-search .claude/skills/local-web-search

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Local Web Search in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Local Web Search on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Local Web Search is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Local Web Search (local-160)

Use the local Responses API with web_search to get web results and citations.

Quick start

Ensure env vars are set or Keychain entries are configured (see references/CONFIG.md).
Run the script:

bash
/usr/bin/python3 {baseDir}/scripts/local_web_search.py --query "<your query>" --mode live

Optional (explicit .env path):

bash
/usr/bin/python3 {baseDir}/scripts/local_web_search.py \
  --env-file ~/.openclaw/workspace/.env \
  --query "<your query>" \
  --mode cached

Timeout default is 1200s. Override via --timeout or LOCAL_160_TIMEOUT. Note: web_search responses can be slow; 5–10 minutes is common and up to ~20 minutes is possible. Don’t treat it as failure unless it exceeds your timeout.

Output handling

Default output: one-sentence summary + up to 5 citations.
Use --json when you need full tool output for parsing.
Use --mode live|cached|disabled to control external web access.

When to use

For web lookups when local-160 supports web_search.
For scheduled news monitoring that should use local-160 search.

Troubleshooting

401/403: key missing/invalid.
5xx: local gateway down or base URL wrong.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/CONFIG.md1 KB
scripts/local_web_search.py7 KB

Frequently asked questions

What does the Local Web Search AI skill do?

Why use Local Web Search on TypingMind?

Because you install it once and use it with any model. Local Web Search is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Local Web Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uluckyXH/OpenMOSS/tree/main/skills/local-web-search. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Local Web Search?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Local Web Search?

As many as you like. As long as a model supports skills, you can use Local Web Search with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Local Web Search AI skill free?

Yes. It is published on GitHub by uluckyXH under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Local Web Search (local-160)

Quick start

Output handling

When to use

Troubleshooting

Bundled files

Frequently asked questions

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