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0xjordansg-yolo

Web Search Tavily

by 0xjordansg-yolo · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
1292
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0
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6
Active Installs
1
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Install in OpenClaw
/install ai-native-websearch-via-tavily-api-returns-concise-relevant-results-for-openclaw
Description
Performs AI-optimized web searches via Tavily API, returning concise and relevant results with options for depth, topic, and result count.
README (SKILL.md)

AIsa Tavily Search

AI-optimized web search using Tavily API through AIsa's unified gateway. Designed for AI agents - returns clean, relevant content.

Search

node {baseDir}/scripts/search.mjs "query"
node {baseDir}/scripts/search.mjs "query" -n 10
node {baseDir}/scripts/search.mjs "query" --deep
node {baseDir}/scripts/search.mjs "query" --topic news

Options

  • -n \x3Ccount>: Number of results (default: 5, max: 20)
  • --deep: Use advanced search for deeper research (slower, more comprehensive)
  • --topic \x3Ctopic>: Search topic - general (default) or news
  • --days \x3Cn>: For news topic, limit to last n days

Extract content from URL

node {baseDir}/scripts/extract.mjs "https://example.com/article"

Notes:

Usage Guidance
This skill appears to do what it claims: the included scripts POST your query/URLs to AIsa's Tavily endpoints (https://api.aisa.one). Before installing, consider: (1) Any queries or URLs you send will be transmitted to a third-party API — avoid sending PII or sensitive tokens. (2) Use a least-privilege/monitored API key from AIsa if possible and review its usage logs and rate limits. (3) Verify the publisher/homepage (aisa.one) and the owner identity if provenance matters — there is a small ownerId mismatch in the package metadata that you may want to confirm. If those points are acceptable, the skill is internally consistent and proportionate.
Capability Analysis
Type: OpenClaw Skill Name: ai-native-websearch-via-tavily-api-returns-concise-relevant-results-for-openclaw Version: 1.0.0 The skill bundle provides web search and content extraction functionality via the AIsa Tavily API. All scripts (`scripts/extract.mjs`, `scripts/search.mjs`) make HTTPS POST requests to `https://api.aisa.one`, authenticating with an `AISA_API_KEY` retrieved from environment variables, as declared in `SKILL.md`. Input parameters (queries, URLs) are safely incorporated into JSON request bodies using `JSON.stringify`, preventing injection vulnerabilities at the API call level. There is no evidence of data exfiltration to unauthorized endpoints, malicious execution, persistence mechanisms, obfuscation, or prompt injection attempts against the AI agent in `SKILL.md`. The code adheres to its stated purpose and uses standard, secure practices.
Capability Assessment
Purpose & Capability
Name/description, required binaries (node), and required env var (AISA_API_KEY) are coherent with a web-search gateway proxy. Minor metadata inconsistency: the _meta.json ownerId differs slightly from the registry Owner ID shown in the package metadata — likely benign but worth verifying the publisher if provenance matters.
Instruction Scope
SKILL.md instructs running the included Node scripts (search.mjs and extract.mjs) with clearly scoped arguments. The instructions reference only AISA_API_KEY and the included scripts, and do not instruct reading unrelated files, credentials, or system state.
Install Mechanism
No install spec; this is primarily instruction-only plus small included scripts. No packages or external download/install steps are performed by the skill itself, so nothing is written to disk beyond the provided files.
Credentials
Only AISA_API_KEY is required (declared as primary credential). The scripts use that key to call https://api.aisa.one endpoints; no other secrets, config paths, or unrelated credentials are requested or accessed.
Persistence & Privilege
always is false and disable-model-invocation is false (normal). The skill does not request persistent system privileges or modify other skills' configs.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ai-native-websearch-via-tavily-api-returns-concise-relevant-results-for-openclaw
  3. After installation, invoke the skill by name or use /ai-native-websearch-via-tavily-api-returns-concise-relevant-results-for-openclaw
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of AI-optimized web search for AI agents using Tavily API via AIsa. - Provides concise, relevant web search results through a unified API gateway. - Supports flexible search options: result count, advanced/deep search, topic selection, and date range for news. - Includes URL content extraction. - Requires AISA_API_KEY for authentication. - Simple CLI usage for all features.
Metadata
Slug ai-native-websearch-via-tavily-api-returns-concise-relevant-results-for-openclaw
Version 1.0.0
License
All-time Installs 6
Active Installs 6
Total Versions 1
Frequently Asked Questions

What is Web Search Tavily?

Performs AI-optimized web searches via Tavily API, returning concise and relevant results with options for depth, topic, and result count. It is an AI Agent Skill for Claude Code / OpenClaw, with 1292 downloads so far.

How do I install Web Search Tavily?

Run "/install ai-native-websearch-via-tavily-api-returns-concise-relevant-results-for-openclaw" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Web Search Tavily free?

Yes, Web Search Tavily is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Web Search Tavily support?

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

Who created Web Search Tavily?

It is built and maintained by 0xjordansg-yolo (@0xjordansg-yolo); the current version is v1.0.0.

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