Skill 1
Questionnaire intake safety check
Use when security questionnaire material, customer attachments, NDA context, or control details need data and confidentiality screening before drafting.
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Security review workflow library
Security questionnaire triage
Sort security questionnaire items, identify sensitive answer areas, and route claims through approved evidence.
This is a complete workflow library with 5 individual skills. Download the full library or pick the specific skill folder your team needs first.
Individual skills in this library
Use one skill at a time, or keep the full workflow together.
Some AI tools expect one skill folder per upload. Download the full library when you want the whole workflow, or download an individual skill when you only need one job done.
Skill 2
Security question classifier
Use when security questionnaire questions need category, sensitivity, source mapping, ownership, and review routing before answers are matched.
Skill 3
Approved answer matcher
Use when a security questionnaire question can be answered from vetted language while preserving caveats, confidence, and approval status.
Skill 4
Sensitive item escalation
Use when security questionnaire questions request confidential architecture, legal, customer-specific, pentest, roadmap, or control detail.
Skill 5
Questionnaire completion QA
Use when a security questionnaire response set is ready for final review against sensitive details, unsupported claims, source gaps, and approval readiness.
Security fit check
Is the public Security questionnaire triage library enough, or does this need deeper review?
Use the public library when the workflow is low-risk, the inputs are already sanitized, and a team member can review the output before it reaches a buyer or customer.
Do deeper review when this workflow touches real tools, data sources, role ownership, approval paths, or customer-facing output.
Security reviewSecurity ReviewerSales EngineerCompliance Owner
Good deeper-review trigger signals
- The workflow touches customer, prospect, CRM, proposal, security, pricing, or campaign data.
- Different teams disagree on the approved source of truth.
- The AI output could become customer-facing, revenue-impacting, or compliance-sensitive.
- You need reusable eval checks before asking more people to use the workflow.