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/chrisreddington/turn-based-game-mcp/typescriptgit clone --depth 1 https://github.com/chrisreddington/turn-based-game-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/chrisreddington/turn-based-game-mcp/typescript)<a href="https://agentmods.dev/instructions/chrisreddington/turn-based-game-mcp/typescript"><img src="https://agentmods.dev/badge/instructions/chrisreddington/turn-based-game-mcp/typescript.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 | $0.01503 | $0.01503 |
| Opus 5 | $0.00751 | $0.00751 |
| Sonnet 5 | $0.00301 | $0.00301 |
| Haiku 4.5 | $0.00150 | $0.00150 |
Grade A, and why
turn-based-game-mcp typescript.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 — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TypeScript Development
Purpose
TypeScript patterns for type-safe code. Covers type definitions, generics, error handling, and module organization.
Type Definitions
Import/Export Patterns
- Import types with
import typefor type-only imports - Export types separately from implementations
- Use barrel exports (
index.ts) for clean imports - Re-export shared types from
@turn-based-mcp/shared
Shared Types and Constants
Always import types derived from shared constants - don't duplicate union types:
// ✅ Import types derived from constants
import type { Difficulty, GameType, PlayerId } from '@turn-based-mcp/shared'
import { DIFFICULTIES, DEFAULT_AI_DIFFICULTY, GAME_TYPES, PLAYER_IDS } from '@turn-based-mcp/shared'
// ✅ Use the imported types
const [aiDifficulty, setAiDifficulty] = useState<Difficulty>('medium')
const playerIds: PlayerId[] = Object.values(PLAYER_IDS)
// ❌ Don't define duplicate union types
type Difficulty = 'easy' | 'medium' | 'hard' // This duplicates shared constants!
type PlayerId = 'player1' | 'player2' | 'ai' // Use the derived type instead!
Key principle: Types are derived from constants using as const assertions:
// In shared/src/constants/game-constants.ts
export const DIFFICULTIES = ['easy', 'medium', 'hard'] as const
export type Difficulty = typeof DIFFICULTIES[number] // 'easy' | 'medium' | 'hard'
Common types available from shared package:
Difficulty- AI difficulty levels (derived fromDIFFICULTIES)GameType- Supported game types (derived fromGAME_TYPES)PlayerId- Player identifiers (derived fromPLAYER_IDS)GameStatus- Game state values (derived fromGAME_STATUSES)- Game-specific interfaces:
TicTacToeGameState,RPSGameState, etc.
Interface Design
- Use interfaces for object shapes and component props
- Include JSDoc comments for complex properties
- Make optional properties explicit with
? - Use union types for enums and variants
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 · 226 lines · 1,503 tokens per session scan A 02c945350764
turn-based-game-mcp typescript.instructions.md is an instructions file published in the GitHub repository chrisreddington/turn-based-game-mcp (31 stars, last pushed today), licensed MIT. It adds 1,503 tokens to every session, about $0.0075 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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