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vendor-risk-assessment

Assess third-party vendor risk for AI and SaaS products. Evaluates security posture, data handling, compliance, financial stability, and operational resilience. Use when onboarding new vendors, conducting annual reviews, or building a vendor management program. Generates a scored risk report with mitigation recommendations. Built by AfrexAI.

1kalin0 来源安装数☆ 0 仓库 Stars

安装与使用

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skillhub install 1kalin/vendor-risk-assessment

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技能说明

Vendor Risk Assessment

Evaluate any AI/SaaS vendor across 6 risk dimensions. Outputs a scored report with go/no-go recommendation.

When to Use

  • Onboarding a new SaaS or AI vendor
  • Annual vendor review cycle
  • Evaluating build-vs-buy decisions
  • Due diligence for partnerships or acquisitions
  • Compliance requirements (SOC2, ISO 27001, GDPR)

How to Use

The user provides vendor details (name, product, website, any available documentation). The agent researches and scores the vendor across 6 dimensions.

Input Format
Vendor: [Company Name]
Product: [Product/Service Name]
Website: [URL]
Use Case: [What you'd use it for]
Data Sensitivity: [low/medium/high/critical]
Additional Context: [Any docs, certifications, or concerns]

Assessment Framework

6 Risk Dimensions (each scored 1-10)
1. Security Posture
  • SOC2 Type II certification?
  • Penetration testing cadence
  • Encryption (at rest + in transit)
  • Access controls and authentication
  • Incident response plan
  • Bug bounty program
2. Data Handling & Privacy
  • Data residency and sovereignty
  • Data retention and deletion policies
  • Sub-processor transparency
  • GDPR/CCPA compliance
  • Data portability (can you get your data out?)
  • AI training opt-out policies
3. Compliance & Certifications
  • SOC2, ISO 27001, HIPAA, FedRAMP
  • Industry-specific (PCI-DSS, HITRUST, etc.)
  • AI-specific (EU AI Act readiness, NIST AI RMF)
  • Audit frequency and transparency
  • Regulatory track record
4. Financial Stability
  • Funding stage and runway
  • Revenue indicators (public or estimated)
  • Customer concentration risk
  • Acquisition risk
  • Pricing stability history
5. Operational Resilience
  • Uptime SLA and historical performance
  • Disaster recovery plan
  • Multi-region availability
  • Dependency on single cloud provider
  • Support responsiveness and escalation paths
  • Change management process
6. Contractual Terms
  • Termination and exit clauses
  • Liability caps and indemnification
  • IP...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/1kalin/vendor-risk-assessment
Version
—
Commit
29764954365b5d48521cb5aa45e68f5c507bce45
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# Vendor Risk Assessment

Evaluate any AI/SaaS vendor across 6 risk dimensions. Outputs a scored report with go/no-go recommendation.

## When to Use
- Onboarding a new SaaS or AI vendor
- Annual vendor review cycle
- Evaluating build-vs-buy decisions
- Due diligence for partnerships or acquisitions
- Compliance requirements (SOC2, ISO 27001, GDPR)

## How to Use

The user provides vendor details (name, product, website, any available documentation).
The agent researches and scores the vendor across 6 dimensions.

### Input Format
```
Vendor: [Company Name]
Product: [Product/Service Name]
Website: [URL]
Use Case: [What you'd use it for]
Data Sensitivity: [low/medium/high/critical]
Additional Context: [Any docs, certifications, or concerns]
```

## Assessment Framework

### 6 Risk Dimensions (each scored 1-10)

#### 1. Security Posture
- SOC2 Type II certification?
- Penetration testing cadence
- Encryption (at rest + in transit)
- Access controls and authentication
- Incident response plan
- Bug bounty program

#### 2. Data Handling & Privacy
- Data residency and sovereignty
- Data retention and deletion policies
- Sub-processor transparency
- GDPR/CCPA compliance
- Data portability (can you get your data out?)
- AI training opt-out policies

#### 3. Compliance & Certifications
- SOC2, ISO 27001, HIPAA, FedRAMP
- Industry-specific (PCI-DSS, HITRUST, etc.)
- AI-specific (EU AI Act readiness, NIST AI RMF)
- Audit frequency and transparency
- Regulatory track record

#### 4. Financial Stability
- Funding stage and runway
- Revenue indicators (public or estimated)
- Customer concentration risk
- Acquisition risk
- Pricing stability history

#### 5. Operational Resilience
- Uptime SLA and historical performance
- Disaster recovery plan
- Multi-region availability
- Dependency on single cloud provider
- Support responsiveness and escalation paths
- Change management process

#### 6. Contractual Terms
- Termination and exit clauses
- Liability caps and indemnification
- IP...

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