Borrowing it
Nothing to install: this file belongs to satheeshds/gbp-review-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/satheeshds/gbp-review-agent/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/satheeshds/gbp-review-agentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/satheeshds/gbp-review-agent/copilot-instructions)<a href="https://agentmods.dev/instructions/satheeshds/gbp-review-agent/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/satheeshds/gbp-review-agent/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/satheeshds/gbp-review-agent/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/satheeshds/gbp-review-agent/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00429 | $0.00429 |
| Opus 5 | $0.00215 | $0.00215 |
| Sonnet 5 | $0.00086 | $0.00086 |
| Haiku 4.5 | $0.00043 | $0.00043 |
Grade A, and why
gbp-review-agent copilot-instructions.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Google Business Profile Review MCP Server
An MCP (Model Context Protocol) server that enables AI assistants to read Google Business Profile reviews, generate AI-powered replies, and post responses back to Google Business Profile.
Project Overview
This project implements an MCP server that:
- Reads Reviews: Fetches reviews from Google Business Profile using Google My Business API
- Generates Replies: Uses LLM sampling to generate contextually appropriate responses to reviews
- Posts Replies: Submits generated replies back to Google Business Profile through the API
- Manages Authorization: Implements OAuth 2.1 for secure Google API access
Architecture
- MCP Server: TypeScript-based server using the official MCP SDK
- Transport: Streamable HTTP for web-based clients
- Authentication: OAuth 2.1 with Google OAuth provider
- APIs: Google My Business API for review management
- LLM Integration: Uses MCP sampling for AI-powered reply generation
Core Features
Tools
get_reviews: Fetch reviews from a Google Business Profile locationgenerate_reply: Generate an appropriate reply to a specific review using LLMpost_reply: Post a reply to a review on Google Business Profilelist_locations: Get all business locations associated with the authenticated account
Resources
business_profile: Information about the business profile and settingsreview_templates: Pre-defined response templates for different review types
Prompts
review_response: Template for generating professional, personalized review responsessentiment_analysis: Analyze review sentiment to tailor response tone
Security & Authorization
- OAuth 2.1 integration with Google
- Secure token handling and validation
- Rate limiting for API calls
- User consent for all review posting actions
Development Guidelines
- Follow MCP specification 2025-06-18
- Use TypeScript with proper type safety
- Implement comprehensive error handling
- Include structured logging
- Follow Google API best practices
- Implement proper OAuth flows
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 52 lines · 429 tokens per session scan A 859ad03759e6
gbp-review-agent copilot-instructions.md is an instructions file published in the GitHub repository satheeshds/gbp-review-agent (8 stars, last pushed 9mo ago), licensed MIT. It adds 429 tokens to every session, about $0.0021 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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