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123
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Install in OpenClaw
/install baaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
Description
AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents.
README (SKILL.md)
Tavily Search
AI-optimized web search using Tavily API. 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) ornews--days \x3Cn>: For news topic, limit to last n days
Extract content from URL
node {baseDir}/scripts/extract.mjs "https://example.com/article"
Notes:
- Needs
TAVILY_API_KEYfrom https://tavily.com - Tavily is optimized for AI - returns clean, relevant snippets
- Use
--deepfor complex research questions - Use
--topic newsfor current events
Usage Guidance
This skill's behavior (node scripts that POST queries/URLs to Tavily) is consistent with its description, but there are red flags in the metadata (odd name '123', bizarre registry slug, ownerId mismatch vs _meta.json). Before installing: 1) Verify the publisher and that this is an official Tavily integration (check tavily.com and contact vendor if needed). 2) Do not pass any sensitive queries, secrets, or private URLs to the skill—everything you send is transmitted to an external API. 3) Use a restricted, rotate-able TAVILY_API_KEY with least privilege and monitor its use. 4) If you need stronger assurance, request a trusted release (official package or GitHub release) or ask the publisher to correct metadata inconsistencies. If you cannot verify the publisher, consider the risk of exposing queries and API key and treat the package as untrusted.
Capability Assessment
Purpose & Capability
The skill's declared purpose (Tavily AI-optimized web search) matches the required binary (node), required env var (TAVILY_API_KEY), and the two included scripts which call Tavily's search and extract endpoints. However, registry metadata is inconsistent: top-level skill name is '123', the registry slug is an extremely long garbage string, and _meta.json lists a different ownerId and a sensible slug ('tavily-search'). These inconsistencies could indicate packaging/metadata tampering or republishing under a different registry entry.
Instruction Scope
SKILL.md instructs running the included node scripts with reasonable CLI flags; the scripts only read TAVILY_API_KEY and the provided CLI args, then POST to https://api.tavily.com/search or /extract and print results. Instructions do not read other env vars or local files. Note: any query text or URLs you pass will be transmitted to an external service (Tavily), so do not send sensitive data.
Install Mechanism
There is no install spec (instruction-only with two small node scripts). Nothing is downloaded or extracted by an installer, and the scripts are lightweight and readable.
Credentials
Only a single credential (TAVILY_API_KEY) is required and used directly to authenticate requests to Tavily. That is proportionate to a search/extract integration. Ensure the key has minimal scope and is not shared elsewhere.
Persistence & Privilege
always is false and the skill does not request persistent/privileged system presence. Autonomous invocation (disable-model-invocation false) is the platform default; combined with an external API key this increases blast radius but is expected for an external-search skill.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install baaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa - After installation, invoke the skill by name or use
/baaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
11123
Metadata
Frequently Asked Questions
What is 123?
AI-optimized web search via Tavily API. Returns concise, relevant results for AI agents. It is an AI Agent Skill for Claude Code / OpenClaw, with 123 downloads so far.
How do I install 123?
Run "/install baaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 123 free?
Yes, 123 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 123 support?
123 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 123?
It is built and maintained by WéΤοr (@wetor); the current version is v1.0.0.
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