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Install in OpenClaw
/install decentralized-search
Description
Production-ready decentralized search for AI agents. Privacy-first, uncensored web search via distributed node infrastructure.
README (SKILL.md)
Presearch Search API
Endpoint: https://na-us-1.presearch.com/v1/search
Method: GET
Auth: Bearer Token
Rate Limit: 100 requests/minute
Authentication
Authorization: Bearer YOUR_API_KEY_HERE
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
q |
string | ✅ | - | Search query |
lang |
string | ❌ | en-US | Language code |
time |
string | ❌ | any | any, day, week, month, year |
page |
string | ❌ | 1 | Page number |
safe |
string | ❌ | 1 | Safe search |
Response
{
"data": {
"standardResults": [
{
"title": "string",
"link": "string",
"description": "string"
}
],
"pagination": {
"current_page": 1,
"has_next": true
}
}
}
Error Codes
- 401: Invalid API key
- 402: Payment required
- 422: Invalid parameters
- 429: Rate limit exceeded
Usage
# Python
with PresearchSkill(api_key) as skill:
results = skill.search("AI agents")
// Node.js
const results = await skill.search({ query: "AI agents" });
Privacy Features
- No tracking or profiling
- Decentralized node network
- Encrypted traffic
- Uncensored results
Usage Guidance
This skill's documentation shows it needs a Presearch API key and calls a presearch.com endpoint, but the registry entry didn't declare any required credentials or a source URL. Before installing: 1) Ask the publisher for the source/homepage and confirm the official Presearch endpoint and auth model; 2) Confirm how/where the API key should be supplied (and that the skill will not try to read unrelated secrets); 3) Prefer skills that declare required.env/primary credential so you can safely manage tokens; 4) Because this is instruction-only, it won't install code, but the metadata mismatch is a red flag — treat it as untrusted until the author provides clarifying metadata or a verified source.
Capability Analysis
Type: OpenClaw Skill
Name: decentralized-search
Version: 1.0.1
The skill bundle contains standard metadata and a `SKILL.md` file that serves as documentation for integrating with the Presearch Search API. The markdown content accurately describes the API endpoint, parameters, authentication, and usage examples. There are no instructions that attempt prompt injection against the AI agent, nor any code or instructions indicative of data exfiltration, malicious execution, persistence mechanisms, or obfuscation. All content aligns with the stated purpose of providing a decentralized search capability.
Capability Assessment
Purpose & Capability
The SKILL.md documents a Presearch HTTP API (Bearer token auth to https://na-us-1.presearch.com/v1/search). The skill description matches that purpose, but the registry metadata lists no required environment variables or primary credential and provides no source/homepage. A search-integration skill would reasonably need an API key declared; its absence is an incoherence.
Instruction Scope
The instructions themselves are narrowly scoped: how to call the GET /v1/search endpoint, parameters, responses, and example snippets. They do not ask the agent to read local files or other unrelated secrets. The notable issue is that the instructions assume an API key (Authorization: Bearer YOUR_API_KEY_HERE) while the skill metadata does not declare one.
Install Mechanism
This is an instruction-only skill with no install spec or code files, so nothing is written to disk or downloaded. That minimizes install-time risk.
Credentials
The runtime docs clearly require a bearer API key (the examples use api_key), but requires.env and primary credential are empty in the registry entry. This mismatch could lead to unclear handling of credentials (where should the key be provided?) and increases the risk of misconfiguration or accidental credential exposure if implementers improvise.
Persistence & Privilege
The skill is not marked always:true and uses default autonomous invocation settings. It does not request persistent system-wide privileges or modify other skills' configs according to the provided metadata.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install decentralized-search - After installation, invoke the skill by name or use
/decentralized-search - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
https://github.com/NosytLabs/presearch-search-skill
Metadata
Frequently Asked Questions
What is presearch?
Production-ready decentralized search for AI agents. Privacy-first, uncensored web search via distributed node infrastructure. It is an AI Agent Skill for Claude Code / OpenClaw, with 569 downloads so far.
How do I install presearch?
Run "/install decentralized-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is presearch free?
Yes, presearch is completely free (open-source). You can download, install and use it at no cost.
Which platforms does presearch support?
presearch is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created presearch?
It is built and maintained by NosytLabs (@nosytlabs); the current version is v1.0.1.
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