Borrowing it
Nothing to install: this file belongs to damionrashford/RivalSearchMCP. 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/damionrashford/RivalSearchMCP/main/AGENTS.mdgit clone --depth 1 https://github.com/damionrashford/RivalSearchMCPWrote 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/damionrashford/rivalsearchmcp/agents-md)<a href="https://agentmods.dev/instructions/damionrashford/rivalsearchmcp/agents-md"><img src="https://agentmods.dev/badge/instructions/damionrashford/rivalsearchmcp/agents-md/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/damionrashford/rivalsearchmcp/agents-md"><img src="https://agentmods.dev/badge/instructions/damionrashford/rivalsearchmcp/agents-md.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 | $0.02638 | $0.02638 |
| Opus 5 | $0.01319 | $0.01319 |
| Sonnet 5 | $0.00528 | $0.00528 |
| Haiku 4.5 | $0.00264 | $0.00264 |
Grade A, and why
RivalSearchMCP AGENTS.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.
How it starts
The opening of the file, as written. The whole thing — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to AI coding agents (GitHub Copilot, Cursor, Aider, Claude Code, etc.) when working with code in this repository.
Note: For Claude Code specifically, see CLAUDE.md which is optimized for Claude's interaction patterns.
Project Overview
RivalSearchMCP is an MCP server providing 9 specialized tools for web research, content discovery, and analysis. Built on FastMCP, it offers multi-engine search (Yahoo/DuckDuckGo), website traversal, scientific research, and AI-enhanced research workflows. Ships with Claude Code Agent Skills for standalone CLI usage.
- 100% free: No API keys required for core functionality
- Dual deployment: Hosted service at
https://RivalSearchMCP.fastmcp.app/mcpor local development - Transport modes: stdio (default, for CLI/IDE) or HTTP (production via
ENVIRONMENT=production)
Development Commands
Setup & Running
# Install dependencies
pip install -r requirements.txt
# Install with dev dependencies
pip install -e ".[dev]"
# Set up pre-commit hooks
pre-commit install
# Run server (stdio mode - default for MCP clients)
python server.py
# Run in production mode (HTTP transport)
ENVIRONMENT=production python server.py
# Custom port
PORT=8080 ENVIRONMENT=production python server.py
Testing
# Run all tests
pytest
# Run specific test file
pytest tests/test_client.py
# Run specific test function
pytest tests/test_client.py::test_function_name
# Run with coverage report
pytest --cov=src --cov-report=term-missing
# Filter by markers
pytest -m unit # Only unit tests
pytest -m integration # Only integration tests
pytest -m "not slow" # Skip slow tests
# Verbose with short traceback
pytest -v --tb=short
Code Quality
# Format code
black src/ tests/
# Sort imports
isort src/ tests/
# Lint with auto-fix
ruff check --fix src/ tests/
# Type checking
mypy src/
# Run all pre-commit hooks
pre-commit run --all-files
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 · 290 lines · 2,638 tokens per session scan A b532d3a80fc8
RivalSearchMCP AGENTS.md is an instructions file published in the GitHub repository damionrashford/RivalSearchMCP (127 stars, last pushed yesterday), licensed MIT. It adds 2,638 tokens to every session, about $0.0132 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 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.