← Back to Skills Marketplace
nosytlabs

NosytLabs

by NosytLabs · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
573
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install presearch
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 appears to be an API wrapper for Presearch but crucial metadata is missing. Before installing: (1) ask the publisher/source—do not trust unknown origins; verify the homepage or repository and that this is an official client; (2) require the skill to declare its required API key (e.g., PRESEARCH_API_KEY) in metadata so you can control where the secret is stored; (3) confirm how the agent will supply that key (env var, secret store, or interactive prompt) and whether it will be persisted; (4) limit what you query through this skill (avoid sending sensitive PII or credentials to an external search); (5) prefer skills from known publishers or with verifiable code you can review. If the publisher is verified and the skill's metadata is updated to declare the API key requirement and provenance, the incoherence concern would be resolved.
Capability Analysis
Type: OpenClaw Skill Name: presearch Version: 1.0.0 The skill bundle defines an API interaction for a decentralized search service (Presearch). The `SKILL.md` file describes the API endpoint, authentication (Bearer Token), parameters, and usage examples. There is no evidence of malicious intent, such as data exfiltration, unauthorized command execution, persistence mechanisms, or prompt injection attempts against the agent. The external network call to `https://na-us-1.presearch.com/v1/search` is the stated and expected function of this search skill.
Capability Assessment
Purpose & Capability
The SKILL.md describes a search API that requires a Bearer token and references payments/rate limits, but the skill metadata declares no required environment variables or primary credential. A search integration reasonably needs an API key; omitting that from declared requirements is incoherent. The package also has no homepage or known source to verify the provider.
Instruction Scope
Instructions are narrowly scoped to calling the provided HTTPS search endpoint with an Authorization header and do not tell the agent to read local files or other system state. However, they include a placeholder for an API key without telling where the agent should obtain it or how it should be supplied, creating ambiguity about how credentials are handled at runtime.
Install Mechanism
Instruction-only skill with no install spec or code files; no artifacts will be written to disk by an installer. This minimizes installation risk.
Credentials
The API clearly requires a bearer token (Authorization: Bearer YOUR_API_KEY_HERE) but the metadata lists no required env vars or primary credential. That omission is disproportionate and could lead to the agent prompting for or mishandling secrets at runtime. Additionally, the skill claims decentralized/privacy-preserving features that would normally require verifiable provenance or node participation details, none of which are present.
Persistence & Privilege
Skill flags are default (not always-included, agent-invocable allowed). The skill does not request persistent system-wide config or modify other skills. No elevated persistence privileges are requested.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install presearch
  3. After installation, invoke the skill by name or use /presearch
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Presearch Decentralized Search
Metadata
Slug presearch
Version 1.0.0
License
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is NosytLabs?

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 573 downloads so far.

How do I install NosytLabs?

Run "/install presearch" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is NosytLabs free?

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

Which platforms does NosytLabs support?

NosytLabs is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created NosytLabs?

It is built and maintained by NosytLabs (@nosytlabs); the current version is v1.0.0.

💬 Comments