mcp-replay-dota2: Instructions file for Claude Code

CLAUDE.md

mcp-replay-dota2 CLAUDE.md is an instructions file for Claude Code from DeepBlueCoding/mcp-replay-dota2. It costs 2,581 tokens per session, scanned A, original, MIT.

Project instructions for a Dota 2 match-data server, including required checks before code is pushed. Linting checks code style, type checking catches type mistakes, and tests check expected behavior.

In plain words
What is it for?
Use them when working on this Python project to run linting, type checks, tests, project commands, and data-constant updates in the required way.
Why use it?
They reduce the chance of pushing code that fails quality checks or depends on missing replay files.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md.

This is DeepBlueCoding/mcp-replay-dota2's own configuration. It tells Claude Code how to work on mcp-replay-dota2 itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mcp-replay-dota2 configures →

Reuse

Borrowing it

Nothing to install: this file belongs to DeepBlueCoding/mcp-replay-dota2. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/DeepBlueCoding/mcp-replay-dota2/master/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/DeepBlueCoding/mcp-replay-dota2

Made for: Claude Code.

Wrote 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.

agentmods badge for mcp-replay-dota2 CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/deepbluecoding/mcp-replay-dota2/claude-md/github.svg)](https://agentmods.dev/instructions/deepbluecoding/mcp-replay-dota2/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/deepbluecoding/mcp-replay-dota2/claude-md"><img src="https://agentmods.dev/badge/instructions/deepbluecoding/mcp-replay-dota2/claude-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.

agentmods 80×15 button for mcp-replay-dota2 CLAUDE.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/deepbluecoding/mcp-replay-dota2/claude-md"><img src="https://agentmods.dev/badge/instructions/deepbluecoding/mcp-replay-dota2/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 2,581 This file is loaded in full into every session.
When invoked 2,581 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.02581 $0.02581
Opus 5.5 $0.01032 $0.01032
Sonnet 5.5 $0.00516 $0.00516
Haiku 4.5 $0.00258 $0.00258

Measured 1mo ago against content hash f2afef9a1560, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mcp-replay-dota2 CLAUDE.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 1mo 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.

CLAUDE.md · 309 lines

How it starts

The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

Guidance for working on this Dota 2 MCP Server codebase.

CRITICAL: Before Pushing Code

ALWAYS run the FULL CI pipeline locally before pushing:

# 1. Lint check
uv run ruff check src/ tests/ dota_match_mcp_server.py

# 2. Type check
uv run mypy src/ dota_match_mcp_server.py --ignore-missing-imports

# 3. Tests (requires replay files in ~/dota2/replays/)
uv run pytest

ALL THREE must pass before committing. Do not push code that fails any step.

Commands

# Always use uv, never python/pip directly
uv run python script.py
uv add package-name
uv run pytest tests/

# Run specific tests
uv run pytest tests/test_combat_log_parser.py -v

# Fetch latest constants from dotaconstants
uv run python scripts/fetch_constants.py

Project Structure

dota_match_mcp_server.py   # MCP server entry point (tools + resources)
src/
  resources/               # Data providers (heroes, map, pro_scene)
  models/                  # Pydantic response models
  utils/                   # Parsers, downloaders, caches
  services/                # Services layer (NO MCP deps)
tests/
  conftest.py              # Session-scoped fixtures - reuses parsed data
data/
  constants/               # Cached dotaconstants JSON
  pro_scene/               # Player/team aliases

Key Patterns

Use python-manta Types, Not Dicts

CRITICAL: Always use python-manta Pydantic models and access attributes directly:

# GOOD - python-manta types with attribute access
from python_manta import EntitySnapshot, HeroSnapshot, CombatLogEntry

for hero_snap in snapshot.heroes:  # hero_snap is HeroSnapshot
    hero = hero_snap.hero_name     # attribute access
    cs = hero_snap.last_hits
    x, y = hero_snap.x, hero_snap.y  # position

# BAD - dict-style access (WILL FAIL)
for hero_snap in snapshot.heroes:
    hero = hero_snap.get('hero_name')  # NO! HeroSnapshot is not a dict
    hero = hero_snap['hero_name']       # NO!

Services Layer (src/services/)

Read the full file on GitHub · 309 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. 1mo ago First seen · 309 lines · 2,581 tokens per session scan A f2afef9a1560

Subscribe to this mod's changes

mcp-replay-dota2 CLAUDE.md is an instructions file published in the GitHub repository DeepBlueCoding/mcp-replay-dota2 (3 stars, last pushed 4mo ago), licensed MIT. It adds 2,581 tokens to every session, about $0.0103 per session on Opus 5.5. 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.

Related

Other instructions, from other repositories

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 · 9,715 tokens

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.

vercel/next.js · 7,786 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, cache eligibility and rollout and applying the notice (cutover).

microsoft/vscode · 5,262 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 · 4,680 tokens

vscode copilot-instructions.md

Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).

microsoft/vscode · 2,731 tokens

deno copilot-instructions.md

Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.

denoland/deno · 3,077 tokens