Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/tonygod/sharkmath-mcp/copilot-instructionsgit clone --depth 1 https://github.com/tonygod/SharkMath-MCPWrote 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/tonygod/sharkmath-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/tonygod/sharkmath-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/tonygod/sharkmath-mcp/copilot-instructions.svg" alt="Measured on agentmods" 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 | $0.01861 | $0.01861 |
| Opus 5 | $0.00931 | $0.00931 |
| Sonnet 5 | $0.00372 | $0.00372 |
| Haiku 4.5 | $0.00186 | $0.00186 |
Grade A, and why
SharkMath-MCP 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 4d 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot Instructions for MCP Python Tutorial Codebase
Project Overview
This is an MCP server providing comprehensive mathematical tools for solving problems across multiple domains
Core Architecture
MCP Server Types
- SharkMath Server (
sharkmath_server.py) - Mathematical tools
Key Components
- FastMCP servers - All servers use
FastMCP("Server Name")pattern - SharkMath Server - Comprehensive mathematical calculation server with tools across all mathematical domains
Development Patterns
MCP Server Structure
from mcp.server.fastmcp import FastMCP
mcp = FastMCP("Server Name")
@mcp.prompt() # Template functions
@mcp.tool() # Executable functions
@mcp.resource() # Data access functions
Environment Setup
- Uses uv package manager (configured in
.vscode/mcp.json) - Virtual environment in
mcp-env/directory - VS Code MCP configuration:
uv --directory . run sharkmath_server.py
SharkMath Architecture
- Main server pattern -
sharkmath_server.pyimports and registers tools from modules - Module registration - Each module has
register_tools(mcp)function - Dual import context - Handles both direct execution and module imports
- Parameter-based routing - Tools use operation parameters to route to specific functions
- Consistent error handling - All functions use ✅/❌ prefixes
- Domain validation - Input validation specific to each mathematical operation
Critical Workflows
Running MCP Servers
uv run SharkMath/sharkmath_server.py
VS Code MCP Integration
- Configure servers in
.vscode/mcp.json - Use server name
"sharkmath-mcp"for tools server - MCP servers connect to VS Code Copilot chat via configuration
Project-Specific Conventions
Async/Context Patterns
- MCP tools use
Contextparameter for AI sampling - Sampling pattern:
ctx.session.create_message()withSamplingMessage - Always handle JSON parsing errors in tools that generate content
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.
- 4d ago First seen · 161 lines · 1,861 tokens per session scan A 667df923c902
SharkMath-MCP copilot-instructions.md is an instructions file published in the GitHub repository tonygod/SharkMath-MCP (0 stars, last pushed 1y ago), licensed MIT. It adds 1,861 tokens to every session, about $0.0093 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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