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security-questionnaire-response-review
About security-questionnaire-response-review
A skill for teams responding to security questionnaires, turning each answer into a classified, evidence-backed record. It separates verified controls from gaps and roadmap intent, with owners and review follow-up.
Key features
- 01Questionnaire scope and evidence review
- 02Classification of control status
- 03Evidence and caveat tracking
- 04Gap register and escalation list
- 05Sales-safe response summary
Use cases
- 01Preparing answers for a buyer questionnaire
- 02Tracking evidence and owners for material claims
- 03Escalating unknown or legally sensitive answers
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ sylphxai/ skills --skill security-questionnaire-response-reviewAfter installing, type/security-questionnaire-response-reviewin Claude Code to confirm it loaded.
Bundled filesagents/openai.yamlreferences/security-questionnaire-patterns.md
Details
From the project READMESecurity Questionnaire Response Review
Use this skill to convert a high-stakes product decision into a concrete, measurable, reviewable operating artifact.
Workflow
- Identify buyer, questionnaire source, requested controls, data sensitivity, product scope, answer owner, and evidence source.
- Read
references/security-questionnaire-patterns.md. - Classify each question: implemented control, partially implemented, not applicable, roadmap, unknown, or requires legal/security review.
- Attach evidence, caveats, commitments, reviewer, expiry, and follow-up owner for every material answer.
- Produce response table, evidence pack, gap register, sales-safe summary, and escalation list.
When not to use
- Do not use for generic advice the base model already handles without this skill's specific artifact contract.
Guardrails
- Do not invent certifications, penetration tests, controls, SLAs, data residency, subprocessors, or compliance status.
- Do not answer legal, regulatory, or contractual commitments without the accountable owner.
- Separate current fact, compensating control, roadmap intent, and open gap.
- Redact secrets, internal vulnerabilities, customer data, and sensitive architecture details.
Output format
Questionnaire context:
Buyer / scope / sensitivity:
Response table:
| Question | Classification | Answer | Evidence | Caveat | Owner |
| --- | --- | --- | --- | --- | --- |
Gap register:
- <gap> -> <risk, compensating control, owner, target>
Sales-safe summary:
- <what can be said now / what needs follow-up>
Comments
Markdown supported