mtdata-mcp AGENTS.md

Repository instructions for mtdata-mcp, a Python project with market-data services, forecasting and pattern tools, an API, reports, and a React web interface.

In plain words
What is it for?
Use them when developing, testing, linting, evaluating schemas, or running the mtdata web application.
Why use it?
They explain where code belongs, which commands to run, and how to test and validate changes across the backend and web interface.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/emerzon/mtdata-mcp/agents-md
Clone the repo
git clone --depth 1 https://github.com/emerzon/mtdata-mcp

Made for: Codex, OpenCode.

Per session 709 This file is loaded in full into every session.
When invoked 709 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00709 $0.00709
Opus 5 $0.00354 $0.00354
Sonnet 5 $0.00142 $0.00142
Haiku 4.5 $0.00071 $0.00071

Measured 2d ago against content hash 34c25fd0d3dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mtdata-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 2d 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.

AGENTS.md · 39 lines

How it starts

The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

Project Structure & Module Organization

Python code lives in src/mtdata/. Runtime setup is in bootstrap/; CLI, MCP, Web API, reporting, regimes, and trading tools are in core/; market access belongs in services/; forecasting and pattern logic live in their named packages; shared schemas and utilities are in shared/ and utils/. The React/Vite client is under webui/src/. Keep tests in tests/, grouped by the corresponding domain (tests/core/, tests/services/, and so on). Documentation belongs in docs/, maintenance utilities in scripts/, and reusable agent prompts in prompts/.

Build, Test, and Development Commands

  • pip install -e ".[web,pattern-search-hnsw]" pytest ruff installs the backend and CI test tools for Python 3.14.
  • ruff check src tests runs Python lint and import-order checks.
  • python scripts/schema_evaluate.py validates public tool schemas.
  • python -m pytest tests runs the backend suite; pass a test path or -k expression for focused work.
  • mtdata-webapi serves the API and built UI locally.
  • From webui/, run npm ci, npm run dev, npm test, npm run typecheck, and npm run build to install, develop, verify, and package the frontend.

Coding Style & Naming Conventions

Use four spaces in Python, type hints on public interfaces, snake_case for modules/functions, and PascalCase for classes. Ruff rules in pyproject.toml are authoritative. Frontend code uses strict TypeScript, two-space indentation, PascalCase React components, and camelCase hooks/helpers. Preserve established single-quote, semicolon-free TS style.

Testing Guidelines

Pytest files and functions use the test_*.py / test_* pattern. Frontend tests use *.test.ts with Vitest. Add focused regression tests beside the affected domain and cover error paths and public contracts. No numeric coverage threshold is configured; all lint, schema, backend, frontend test, type-check, and build jobs must pass.

Read the full file on GitHub · 39 lines

Changes

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.

  1. 2d ago First seen · 39 lines · 709 tokens per session scan A 34c25fd0d3dc

Subscribe to this mod's changes

mtdata-mcp AGENTS.md is an instructions file published in the GitHub repository emerzon/mtdata-mcp (22 stars, last pushed 2d ago), licensed MIT. It adds 709 tokens to every session, about $0.0035 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.

Related

Other instructions, from other repositories

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,104 tokens

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).

microsoft/vscode · 6,785 tokens

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.

openai/codex · 5,182 tokens

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.

langchain-ai/langchain · 4,345 tokens

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).

microsoft/vscode · 5,001 tokens

next.js AGENTS.md

Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens