Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
NanoGPT Web Search
AI-powered web search via NanoGPT API with multiple providers (linkup, tavily, exa, kagi, perplexity, valyu, brave). Supports searchResults, sourcedAnswer, a...
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AI-powered web search via NanoGPT API with multiple providers (linkup, tavily, exa, kagi, perplexity, valyu, brave). Supports searchResults, sourcedAnswer, a...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, build_payload.py, format_output.py, search.py, search.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.2.3
Provenance
- Publisher
- TWolf01
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
NanoGPT Web Search
AI-powered web search via NanoGPT API with multiple providers.
Requirements
python3 - For payload building and output formatting curl - For HTTP requests requests Python package - For Python API usage
Setup
Install the requests package: pip install requests Set your NanoGPT API key as an environment variable: export NANOGPT_API_KEY="sk-nano-your-key-here" Get your API key from nano-gpt.com.
Usage
# Basic search ./search.sh "your query" # With specific provider ./search.sh "AI trends 2025" --provider tavily # Deep search ./search.sh "quantum computing" --depth deep # Search with date filter ./search.sh "climate news" --from-date 2025-01-01 --to-date 2025-02-18 # Sourced answer (synthesized response with citations) ./search.sh "what is RAG" --output-type sourcedAnswer # JSON output (for scripting) ./search.sh "python tutorials" --json
Providers
linkup (default) - $0.006 standard, $0.06 deep tavily - $0.008 standard, $0.016 deep exa - $0.005 base + per-page kagi - $0.002 web/news, $0.025 search perplexity - $0.005 flat valyu - ~$0.0015/result brave - $0.005 flat
Options
--provider - Search provider (default: linkup) --depth - Search depth: standard or deep --output-type - Output format: searchResults, sourcedAnswer, structured --from-date - Start date filter (YYYY-MM-DD) --to-date - End date filter (YYYY-MM-DD) --include-domains - Comma-separated domains to include --exclude-domains - Comma-separated domains to exclude --max-results - Max results (provider-specific) --json - Output raw JSON
Python API
from search import NanoWebSearch # Pass API key explicitly (recommended) search = NanoWebSearch(api_key="sk-nano-your-key") # Or use NANOGPT_API_KEY environment variable search = NanoWebSearch() results = search.search("AI trends", provider="tavily", depth="deep") for r in results['data']: print(f"{r['title']}: {r['url']}")
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Scripts1 Docs
- SKILL.md
- build_payload.py
- format_output.py
- search.py
- search.sh