Borrowing it
Nothing to install: this file belongs to lionelschiepers/StockQuotes.MCP. 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/lionelschiepers/StockQuotes.MCP/main/AGENTS.mdgit clone --depth 1 https://github.com/lionelschiepers/StockQuotes.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/lionelschiepers/stockquotes.mcp/agents-md)<a href="https://agentmods.dev/instructions/lionelschiepers/stockquotes.mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/lionelschiepers/stockquotes.mcp/agents-md.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 5.1 | $0.00165 | $0.00165 |
| Opus 5 | $0.00082 | $0.00082 |
| Sonnet 5 | $0.00033 | $0.00033 |
| Haiku 4.5 | $0.00016 | $0.00016 |
Grade A, and why
StockQuotes.MCP 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 8d 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
StockQuotes.MCP
Project Overview
This is a TypeScript/Node.js project for creating a server to fetch stock quotes. The project implements a Model Context Protocol (MCP) server that provides tools for fetching stock quotes from Yahoo Finance.
Building and Running
- 'npm run build' for building
- 'npm test' for testing
- 'npm run format' for formatting the code
- 'npm run lint' for linting the code
Development Conventions
- Always use context7 when I need code generation, setup or configuration steps, or library/API documentation. This means you should automatically use the Context7 MCP tools to resolve library id and get library docs without me having to explicitly ask.
- Don't update git.
- Lint and Format the project for each code modification.
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.
- 8d ago First seen · 18 lines · 165 tokens per session scan A 4f6efad45274
StockQuotes.MCP AGENTS.md is an instructions file published in the GitHub repository lionelschiepers/StockQuotes.MCP (19 stars, last pushed 4mo ago), licensed MIT. It adds 165 tokens to every session, about $0.0008 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.
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