This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
中文简介正在准备中。当前显示原文说明。
Assess IT vendors and third-party partners with multi-factor risk scoring and regulatory compliance checklists. Use when evaluating technology vendors.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
⚠️ EXPERIMENTAL — This skill is provided for educational and informational purposes only. It does NOT constitute legal advice. All responsibility for usage rests with the user. Consult qualified legal professionals before acting on any output.
Production-ready framework for assessing IT service providers, technology vendors, and third-party partners. Provides a Three-Phase Assessment (Initial Screening, Detailed Assessment, Final Evaluation), Multi-Factor Risk Scoring across 6 dimensions with critical-service weighting, regulatory compliance checklists for 8 frameworks, vendor comparison matrices, and ongoing monitoring with Early Warning Indicators. Designed for procurement teams, legal counsel, IT security, and compliance officers evaluating technology vendors.
Before scoring the vendor, settle the inputs below. When one is missing or vague and would change the result, ask about it; when it wouldn't, use a sensible default and say which one you used.
--critical flag applies a 2x weight to security and compliance, which can flip the composite score and the Approve/Reject recommendation.Ask about the two or three inputs that matter most for this request, not the whole list. If the user wants a result straight away, produce it and state your assumptions at the top.
scripts/vendor_risk_scorer.py)Scores a vendor across 6 risk dimensions based on questionnaire responses. Calculates weighted composite score with 2x multiplier for critical services. Generates risk heat map and overall recommendation.
# Score a vendor from questionnaire responses
python scripts/vendor_risk_scorer.py vendor_responses.json
# JSON output for dashboards
python scripts/vendor_risk_scorer.py vendor_responses.json --json
# Flag as critical service (2x weight on security + compliance)
python scripts/vendor_risk_scorer.py vendor_responses.json --critical
scripts/vendor_comparison.py)Takes multiple vendor risk assessment JSONs and generates a side-by-side comparison matrix. Ranks vendors by composite score and recommends preferred vendor with rationale.
# Compare two vendors
python scripts/vendor_comparison.py vendor_a.json vendor_b.json
# Compare multiple vendors with JSON output
python scripts/vendor_comparison.py vendor_a.json vendor_b.json vendor_c.json --json
# Compare with critical service weighting
python scripts/vendor_comparison.py vendor_a.json vendor_b.json --critical
| Reference | Purpose |
|---|---|
references/risk_assessment_framework.md | 6-dimension scoring system, weighting methodology, composite score interpretation |
references/regulatory_checklists.md | Pre-built compliance checklists for GDPR, DORA, NIS2, SOX, PCI DSS, ISO 27001/SOC 2, HIPAA, FedRAMP |
references/monitoring_framework.md | Quarterly reviews, Early Warning Indicators, KPI metrics, risk mitigation strategies, onboarding checklists |
Phase 1: Initial Screening (Days 1-5)
vendor_risk_scorer.py with preliminary data for initial risk classificationregulatory_checklists.mdPhase 2: Detailed Assessment (Days 5-15)
vendor_risk_scorer.py with complete questionnaire responsesPhase 3: Final Evaluation (Days 15-20)
vendor_comparison.py if evaluating multiple vendorsrisk_assessment_framework.mdmonitoring_framework.mdvendor_comparison.py on finalist assessmentstech-contract-negotiation skill)monitoring_framework.mdmonitoring_framework.md; escalate per defined paths| Problem | Cause | Solution |
|---|---|---|
| All dimensions score 1 (Low Risk) | Vendor self-reported optimistically on questionnaire | Cross-reference with SOC 2 reports, pen test results, and financial filings; adjust scores based on evidence |
| Composite score doesn't reflect known security issues | Security dimension not weighted for critical service | Re-run with --critical flag to apply 2x multiplier on security and compliance dimensions |
| Comparison matrix shows all vendors tied | Scoring inputs are too similar or too coarse | Request more granular data; use the 5-level scoring criteria from the risk framework to differentiate |
| Regulatory checklist seems incomplete for your industry | Only 8 frameworks are pre-built | Customize checklists by adding industry-specific requirements as additional items |
| Vendor refuses to complete questionnaire | Vendor sees assessment as overly burdensome | Share only the dimensions relevant to their service scope; offer to accept SOC 2/ISO 27001 reports as partial substitutes |
| Risk score changed dramatically between quarters | Major event occurred (breach, M&A, leadership change) | This is expected behavior; document the trigger event and follow the event-triggered review process |
This skill covers:
This skill does NOT cover:
finance/financial-analyst skill)legal/tech-contract-negotiation skill)| Anti-Pattern | Why It Fails | Better Approach |
|---|---|---|
| Relying solely on vendor self-assessment questionnaires | Vendors underreport risks; no independent verification | Cross-reference questionnaire responses with SOC 2/ISO 27001 reports, pen test results, and public records |
| Applying the same weight to all dimensions regardless of service type | A payroll vendor and a marketing tool have different risk profiles | Use --critical flag for critical services; adjust dimension weights based on service classification |
| Completing due diligence once and never revisiting | Vendor risk changes over time due to M&A, breaches, market shifts | Implement quarterly monitoring with annual re-assessment per the monitoring framework |
| Rejecting vendors for a single high-risk dimension without considering mitigations | Eliminates potentially strong vendors with addressable gaps | Use the gap analysis severity classification; require remediation plans for major concerns before final decision |
| Skipping the comparison matrix for sole-source procurements | Misses opportunity to benchmark the vendor against market standards | Run comparison against industry benchmarks or previous vendor assessments to establish a risk baseline |
scripts/vendor_risk_scorer.pyScore a vendor across 6 risk dimensions and generate an overall recommendation.
usage: vendor_risk_scorer.py [-h] [--json] [--critical]
input_file
positional arguments:
input_file Path to JSON file with vendor questionnaire responses
options:
-h, --help Show help message and exit
--json Output results as JSON
--critical Apply 2x weight to security and compliance
dimensions (for critical/essential services)
Outputs: 6-dimension risk scores (1-5 each), weighted composite score, risk level classification (Low/Moderate/High/Critical), overall recommendation (Approve/Approve with Conditions/Reject), dimension-level findings, and gap analysis.
scripts/vendor_comparison.pyCompare multiple vendors side-by-side and recommend preferred vendor.
usage: vendor_comparison.py [-h] [--json] [--critical]
input_files [input_files ...]
positional arguments:
input_files Paths to vendor assessment JSON files (minimum 2)
options:
-h, --help Show help message and exit
--json Output results as JSON
--critical Apply 2x weight to security and compliance
dimensions (for critical/essential services)
Outputs: Side-by-side comparison matrix, composite score ranking, per-dimension strength/weakness analysis, preferred vendor recommendation with rationale, and risk delta highlights.
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This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
中文简介正在准备中。当前显示原文说明。
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
中文简介正在准备中。当前显示原文说明。
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
中文简介正在准备中。当前显示原文说明。
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
中文简介正在准备中。当前显示原文说明。
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
中文简介正在准备中。当前显示原文说明。
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
中文简介正在准备中。当前显示原文说明。