# Prepare Google Review Request Kits

Business owners need accurate review links and clear messages for customer outreach. This skill uses Reach listing data to prepare drafts and guide manual delivery.

## Install

```bash
npx skillstore add locusintelligence-dauagency/review-request-kit
```

## Metadata

- Status: approved
- Slug: locusintelligence-dauagency-review-request-kit
- Skillstore revision: r1
- Version status: missing
- Tree hash: 724b48fbcacb49f6fb7c4e5b40d1887abb15f865c555799486ea9dd7c3b6dde7
- Author: locusintelligence-dauagency
- GitHub username: locusintelligence-dauagency
- License: MIT
- Repository: https://github.com/locusintelligence-dauagency/reach-skills/tree/2b10a6be9b9b9a990ae0beb360a21476fad41918/skills/review-request-kit
- Ref: 5e1f762ecf28b75c366ed9b67053b444b2eb9ffd
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, network
- Quality score: 78
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/locusintelligence-dauagency-review-request-kit
- Manifest: https://skillstore.pages.dev/api/skills/locusintelligence-dauagency-review-request-kit/manifest

## Capabilities

- Ask which business location to use when the account has multiple locations.
- Build a Google review link from a returned public-listing place identifier, or provide the review-link generator.
- Draft two or three review-request sentences in the owner or customer language, with the link on a separate line.
- Direct owners to external QR generation and additional message tools.
- Suggest up to ten recent customers by name and service when requested and supported by an active connection.
- Prepare a feature request for unsupported functions and submit it only after owner confirmation, excluding private customer details.

## Use Cases

- Prepare outreach after a service visit: Draft a short review request using a verified service detail and an accurate review link.
- Prepare a reception review kit: Obtain review-link guidance and the QR generator reference for a printable reception or receipt code.
- Coordinate outreach across locations: Select the correct location and request recent customer suggestions without exposing full phone numbers or filtering by satisfaction.

## Prompt Templates

### Start a review request kit

```
Prepare a Google review request kit for my business. Ask which location to use if needed. Do not send messages.
```

### Draft a localized request

```
Draft a short WhatsApp review request in [language] for [location]. Use verified service details only. Put the accurate review link separately.
```

### Prepare a reception QR workflow

```
Prepare review-link and QR generator guidance for [location]. Draft a neutral SMS request. Explain any missing listing data without guessing identifiers.
```

### Select recent customers responsibly

```
For [location], suggest up to ten customers served during [date range]. Check connection status first. Keep phones masked and do not filter by satisfaction.
```

## Limitations

- Requires a connected Reach MCP server and browser OAuth sign-in to the owner account.
- Does not send review requests, generate QR images, or reconstruct masked phone numbers.
- Connected listings do not return a place identifier; the owner must obtain the exact review link through the suggested generator.
- Customer suggestions require an active connection and available records; the hosted server implementation is outside this repository.

## Best Practices

- Confirm the business location and use only a returned place identifier or an exact link obtained through the review-link generator.
- Use verified visit details and request honest feedback from all customers, without incentives or preferred ratings.
- Keep contact details private and send drafts manually; confirm any feature request wording before submission.

## Anti Patterns

- Guessing place identifiers, review URLs, service details, or data freshness.
- Offering rewards, asking for five-star ratings, or selecting only satisfied customers.
- Reconstructing masked phone numbers, exposing unrelated customer records, or sending requests automatically.

## Security Audit

- Audited at: 2026-10-10T23:07:21.994\+00:00
- Summary: All 17 static findings are false positives: Markdown backticks, privacy guidance, and disclosed service links do not demonstrate malicious execution or network abuse. No evidence found of prompt injection, credential collection, or unauthorized disclosure in the reviewed files. The required hosted Reach MCP server implementation was not included and was not audited.

## Stats

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- Downloads: 1
- Favorites: 0
- Popularity score: 0