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在 OpenClaw 中安装
/install presearch
功能描述
Production-ready decentralized search for AI agents. Privacy-first, uncensored web search via distributed node infrastructure.
使用说明 (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
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install presearch - 安装完成后,直接呼叫该 Skill 的名称或使用
/presearch触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Presearch Decentralized Search
元数据
常见问题
NosytLabs 是什么?
Production-ready decentralized search for AI agents. Privacy-first, uncensored web search via distributed node infrastructure. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 573 次。
如何安装 NosytLabs?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install presearch」即可一键安装,无需额外配置。
NosytLabs 是免费的吗?
是的,NosytLabs 完全免费(开源免费),可自由下载、安装和使用。
NosytLabs 支持哪些平台?
NosytLabs 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 NosytLabs?
由 NosytLabs(@nosytlabs)开发并维护,当前版本 v1.0.0。
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