adminlove520/tavily-search
openclaw-tavily-search/SKILL.md
Web search via Tavily API (alternative to Brave). Use when the user asks to search the web / look up sources / find links and Brave web_search is unavailable or undesired. Returns a small set of relevant results (title, url, snippet) and can optionally include short answer summaries.
$ install --global
skillsauthnpx skillsauth add adminlove520/xiaoxi-skills tavily-searchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 29, 2026, 4:42 AM292.7s4 files scanned
SKILL.md
- name:
- tavily-search
- description:
- Web search via Tavily API (alternative to Brave). Use when the user asks to search the web / look up sources / find links and Brave web_search is unavailable or undesired. Returns a small set of relevant results (title, url, snippet) and can optionally include short answer summaries.
Tavily Search
Use the bundled script to search the web with Tavily.
Requirements
- Provide API key via either:
- environment variable:
TAVILY_API_KEY, or ~/.openclaw/.envline:TAVILY_API_KEY=...
- environment variable:
Commands
Run from the OpenClaw workspace:
# raw JSON (default)
python3 {baseDir}/scripts/tavily_search.py --query "..." --max-results 5
# include short answer (if available)
python3 {baseDir}/scripts/tavily_search.py --query "..." --max-results 5 --include-answer
# stable schema (closer to web_search): {query, results:[{title,url,snippet}], answer?}
python3 {baseDir}/scripts/tavily_search.py --query "..." --max-results 5 --format brave
# human-readable Markdown list
python3 {baseDir}/scripts/tavily_search.py --query "..." --max-results 5 --format md
Output
raw (default)
- JSON:
query, optionalanswer,results: [{title,url,content}]
brave
- JSON:
query, optionalanswer,results: [{title,url,snippet}]
md
- A compact Markdown list with title/url/snippet.
Notes
- Keep
max-resultssmall by default (3–5) to reduce token/reading load. - Prefer returning URLs + snippets; fetch full pages only when needed.
Related Skills
adminlove520/memento-flashcards
data-ai
VerifiedTrustedCommunity
Spaced-repetition flashcard system. Create cards from facts or text, chat with flashcards using free-text answers graded by the agent, generate quizzes from YouTube transcripts, review due cards with adaptive scheduling, and export/import decks as CSV.
5SKILL.mdUpdated Apr 30, 2026
adminlove520/canvas
development
VerifiedTrustedCommunity
Canvas LMS integration — fetch enrolled courses and assignments using API token authentication.
5SKILL.mdUpdated Apr 30, 2026
adminlove520/distributed-llm-pretraining-torchtitan
development
VerifiedTrustedCommunity
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.
5SKILL.mdUpdated Apr 30, 2026
adminlove520/tensorrt-llm
devops
VerifiedTrustedCommunity
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
5SKILL.mdUpdated Apr 30, 2026