# genpark-security-questionnaire-rfp-evidence-autoresponder-skill

> genpark-security-questionnaire-rfp-evidence-autoresponder-skill — alphaparkinc-genpark-security-questionnaire-rfp-evidence-autoresponder-skill. Use this tool when you need to automate responses to security questionnaires and RFPs, grounding answers in SOC 2 and ISO policies. It solves the problem of manually responding to repetitive security inquiries, saving time and ensuring compliance. The tool takes in security questionnaires and RFPs as input and generates standardized, policy-based responses as output.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-security-questionnaire-rfp-evidence-autoresponder-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-security-questionnaire-rfp-evidence-autoresponder-skill

## Description

AI security questionnaire and RFP auto-responder grounding responses in SOC 2/ISO policies (AutoRFP style)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-security-questionnaire-rfp-evidence-autoresponder-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-security-questionnaire-rfp-evidence-autoresponder-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-security-questionnaire-rfp-evidence-autoresponder-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-security-questionnaire-rfp-evidence-autoresponder-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt