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vaikoravaikora 搜索

Agent Skill

vaikora 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,350

周安装

96

GitHub Stars

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下载量

753
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:vaikora(vaikora 搜索)
来源仓库:https://github.com/data443/vaikora
安装命令:
openclaw skills install vaikora
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install vaikora

简介

通过 Vaikora 路由 OpenClaw LLM 调用,实时监控代理行为风险。

  • 每项行动均获得风险评分与异常标记,辅助安全与合规审计。
  • 适用于金融、医疗等高监管行业,确保代理操作符合内部政策。
  • 安装命令为 openclaw skills install vaikora,需注册 Vaikora 开发者账户。
  • 日志存储周期与保留策略由服务商定义,重要事件请及时导出存档。

SKILL.md

name
vaikora-security
description
Route OpenClaw LLM calls through Vaikora for real-time AI agent security monitoring. Every action your agent takes gets scored for risk, anomaly-flagged, and pushed as a security signal to SentinelOne, CrowdStrike, or AWS Security Hub, without changing how your agent works.
version
1.0.1
metadata
openclaw
requires
env
primaryEnv
VAIKORA_API_KEY
emoji
🛡️
homepage
https://vaikora.com

Vaikora Security

Vaikora is a reverse proxy for AI agents. It sits between OpenClaw and your LLM provider (OpenAI, Anthropic, Gemini, Bedrock, etc.) and inspects every request and response before it reaches the model.

What it does:

  • Scores each agent action for risk on a 0 to 100 scale
  • Detects anomalies with ML trained on adversarial prompt examples
  • Blocks prompt injection, jailbreaks, and PII exfiltration attempts
  • Scans LLM responses for toxicity and data leakage
  • Emits behavioral signals that downstream connectors (SentinelOne, CrowdStrike, AWS Security Hub) can ingest

Your agent code does not change. You change the base URL and add two headers.

What Vaikora receives

Because Vaikora sits in the request path, it sees:

  • The full prompt and message history your agent sends
  • The full response returned by the upstream LLM
  • Your upstream LLM provider key, which Vaikora forwards to the provider on your behalf

If any of that is a problem for your use case, read the data handling section below before you route production traffic through it. A test key and isolated agent account are the safest way to evaluate.

Setup

You need a Vaikora account and API key. Get one at vaikora.com. The free tier covers 20 req/min and 7-day audit retention, no card required.

Set three environment variables:

# Vaikora gateway credential (identifies you to Vaikora)
export VAIKORA_API_KEY=vk_live_...

# Vaikora agent identifier (scopes the audit trail)
export VAIKORA_AGENT_ID=your-agent-id

# Your upstream LLM provider key (Vaikora forwards this to the provider)
export LLM_PROVIDER_API_KEY=sk-...

LLM_PROVIDER_API_KEY is whatever key the provider issues you. OpenAI's sk-..., Anthropic's sk-ant-..., a Google API key, etc. Vaikora does not store it beyond the request lifetime, but it does see it in cleartext.

How routing works

Vaikora exposes a drop-in OpenAI-compatible endpoint at https://api.vaikora.com/v1. The completions path is /v1/chat/completions, same as OpenAI.

In your OpenClaw config, change the base URL and set two headers:

# Before
llm:
  provider: openai
  base_url: https://api.openai.com/v1
  headers:
    Authorization: "Bearer ${LLM_PROVIDER_API_KEY}"

# After
llm:
  provider: openai
  base_url: https://api.vaikora.com/v1
  headers:
    x-api-key: "${VAIKORA_API_KEY}"
    Authorization: "Bearer ${LLM_PROVIDER_API_KEY}"
    x-vaikora-agent: "${VAIKORA_AGENT_ID}"

Header roles:

  • x-api-key authenticates your request to Vaikora
  • Authorization: Bearer carries your upstream provider key. Vaikora forwards this to OpenAI, Anthropic, or whichever provider your chosen model maps to.
  • x-vaikora-agent tags the action in Vaikora's audit log

This mirrors the dual-header pattern documented in the Data443 LLM Gateway QA handbook. Works with any provider OpenClaw supports: OpenAI, Anthropic, Google, Azure, Bedrock, Mistral, Groq, Ollama.

Security connectors

Vaikora captures every action. To push high-risk signals into your SIEM or EDR, install a connector from AWS Marketplace. Each is free:

PlatformWhat it does
SentinelOneMaps high-risk agent actions to IOCs via Threat Intelligence API
CrowdStrike FalconPushes risky actions as Custom IOCs. Critical = prevent mode. High = detect mode.
AWS Security HubSends ASFF findings for high-severity and anomalous actions

Search "Vaikora" in AWS Marketplace. Connectors run on your infrastructure (Lambda or Logic Apps) and poll Vaikora's API on a schedule.

What gets monitored

Every action is scored across four dimensions:

DimensionWhat it checks
Risk ScoreComposite 0 to 100 based on content, context, and intent
AnomalyML deviation from this agent's baseline behavior
PolicyAllow, block, or audit decision against configured rules
ThreatConfirmed malicious activity flag with 0 to 1 confidence score

Actions with risk score at 75 or above, an anomaly flag, or a confirmed threat get forwarded to your security connector as a finding.

Verifying routing is live

After the config change, run a test prompt through your agent, then query Vaikora's management API to confirm the action was logged:

curl -H "x-api-key: ${VAIKORA_API_KEY}" \
  "https://api.vaikora.com/api/v1/actions?agent_id=${VAIKORA_AGENT_ID}&per_page=5"

Note the two paths:

  • /v1/... is the OpenAI-compatible gateway (where your agent sends traffic)
  • /api/v1/... is Vaikora's management API for reading audit data

You should see the action with a risk score and threat assessment.

Policy presets

Activate a preset in your Vaikora config:

PresetUse case
standardDefault, balanced security
strictHigh-sensitivity environments
permissiveDev and test, minimal blocking
hipaaPHI detection, medical data protection
pci-dssCredit card and financial data protection
gdprEU PII categories, Right to Erasure support
# vaikora.yaml
policy: hipaa

Data handling notes

Because Vaikora is in the request path, treat it like any other vendor with access to your prompts and provider credentials:

  • Use a dedicated upstream provider key with spend limits while evaluating
  • Do not route PHI, PCI, or regulated data until you have reviewed Vaikora's retention and access controls
  • Rotate your provider key after testing
  • Use vk_test_... keys for local development

Vaikora's docs cover retention and access at vaikora.com/docs.

Performance

  • Gateway latency: P50 = 8ms, P95 = 22ms
  • Block decisions are early-exit, around 18ms
  • Published threat detection accuracy: 99.9%, false positive rate under 0.1%

Links

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

79.13%
按下载量换算596

安全审计

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ClawScan

通过

Static analysis

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安装前确认

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