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enterprise-ai-security-controls-assessment企业 AI 安全控制评估

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

7,114

周安装

285

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下载量

2,303
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:enterprise-ai-security-controls-assessment(企业 AI 安全控制评估)
来源仓库:https://github.com/krishnakumarmahadevan-cmd/enterprise-ai-security-controls-assessment
安装命令:
openclaw skills install enterprise-ai-security-controls-assessment
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 enterprise-ai-security-controls-assessment

简介

该技能用于辅助安全审计与漏洞排查,帮助梳理敏感配置和分析鉴权逻辑。

  • 适用于权限检查、凭据风险识别和安全复核清单生成等运维场景。
  • 不能将工具输出直接作为最终结论,涉及生产系统时应先确认最小权限和操作边界。
  • 通过 clawhub 安装,命令为 openclaw skills install enterprise-ai-security-controls-assessment。
  • 适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

Enterprise AI Security Controls Assessment

Assess your organization's AI security posture across 12 enterprise domains — Identity & Access, Data Protection, Prompt Injection Defense, Model Protection, API Security, Agent Permissioning, Output Filtering, Monitoring & Anomaly Detection, Compliance Mapping, Incident Response, Encryption & KMS, and Risk Intelligence. Each domain covers 5 controls (60 total) and produces prioritized remediation guidance.


Usage

{
  "tool": "enterprise_ai_security_controls_assessment",
  "input": {
    "organization_name": "Acme Corp",
    "industry": "Financial Services",
    "ai_maturity": "intermediate",
    "domains_to_assess": ["identity_access", "prompt_injection_defense", "api_security"],
    "current_controls": {
      "identity_access": {
        "mfa_enabled": true,
        "rbac_implemented": false,
        "service_account_rotation": "manual"
      },
      "prompt_injection_defense": {
        "input_validation": "basic",
        "system_prompt_hardening": false,
        "canary_tokens": false
      }
    }
  }
}

Parameters

ParameterTypeRequiredDescription
organization_namestringName of the organization being assessed
industrystringIndustry vertical (e.g., Financial Services, Healthcare, Retail)
ai_maturitystringCurrent AI maturity level: beginner, intermediate, advanced
domains_to_assessarraySubset of domain keys to assess. Omit to assess all 12 domains
current_controlsobjectKey-value map of existing controls per domain (see domain keys below)

Domain Keys

KeyDomain
identity_accessIdentity & Access Control
data_protectionData Protection
prompt_injection_defensePrompt Injection Defense
model_protectionModel Protection
api_securityAPI Security
agent_permissioningAgent Permissioning
output_filteringOutput Filtering
monitoring_anomalyMonitoring & Anomaly Detection
compliance_mappingCompliance Mapping
incident_responseIncident Response
encryption_kmsEncryption & Key Management (KMS)
risk_intelligenceRisk Intelligence

What You Get

  • Domain-by-domain scorecard — maturity rating per domain (Initial / Developing / Defined / Managed / Optimizing)
  • Control gap analysis — which of the 60 controls are missing, partial, or implemented
  • Prioritized remediation roadmap — Quick Wins (0–30 days), Medium-term (30–90 days), Strategic (90+ days)
  • Compliance alignment — mapped to NIST AI RMF, ISO 42001, SOC 2, and GDPR where applicable
  • Executive summary — board-ready summary of AI security posture

Example Output

{
  "organization": "Acme Corp",
  "overall_maturity": "Developing",
  "overall_score": 42,
  "domain_scores": {
    "identity_access": { "score": 60, "maturity": "Defined", "gaps": 2 },
    "prompt_injection_defense": { "score": 20, "maturity": "Initial", "gaps": 4 },
    "api_security": { "score": 55, "maturity": "Developing", "gaps": 2 }
  },
  "top_risks": [
    "No system prompt hardening exposes models to override attacks",
    "RBAC not implemented — lateral movement risk across AI services",
    "No canary token monitoring for prompt exfiltration"
  ],
  "quick_wins": [
    "Enable RBAC on all AI service accounts (3 days)",
    "Deploy input sanitization layer before LLM endpoints (7 days)",
    "Rotate all AI API keys and set expiry policies (1 day)"
  ],
  "compliance_gaps": ["NIST AI RMF: GOVERN-1.1", "ISO 42001: 6.1.2", "SOC 2: CC6.1"]
}

API Reference

Base URL: https://portal.toolweb.in/apis/security/entaisecconass

EndpointMethodDescription
/GETHealth check
/api/ai-security/assessPOSTRun full assessment
/api/ai-security/domainsGETList all 12 domain definitions
/api/ai-security/domain/{domain_key}GETGet details for a specific domain

Authentication: Pass your API key as X-API-Key header or mcp_api_key argument via MCP.


Pricing

PlanDaily LimitMonthly LimitPrice
Free5 / day50 / month$0
Developer20 / day500 / month$39
Professional200 / day5,000 / month$99
Enterprise100,000 / day1,000,000 / month$299

About

ToolWeb.in — 200+ security APIs, CISSP & CISM certified, built for enterprise AI security practitioners.

Platforms: Pay-per-run · API Gateway · MCP Server · OpenClaw · RapidAPI · YouTube

适合场景

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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

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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

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

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

80.79%
按下载量换算1,861

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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