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/davidar/mcp-server-if/claude-mdgit clone --depth 1 https://github.com/davidar/mcp-server-ifWrote 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/davidar/mcp-server-if/claude-md)<a href="https://agentmods.dev/instructions/davidar/mcp-server-if/claude-md"><img src="https://agentmods.dev/badge/instructions/davidar/mcp-server-if/claude-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 | $0.03059 | $0.03059 |
| Opus 5 | $0.01529 | $0.01529 |
| Sonnet 5 | $0.00612 | $0.00612 |
| Haiku 4.5 | $0.00306 | $0.00306 |
Grade A, and why
mcp-server-if 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 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
MCP server for playing interactive fiction games (Glulx and Z-machine). Enables AI assistants to play text adventure games (.ulx, .gblorb, .z3-.z8, .zblorb) via the Model Context Protocol. Uses compiled interpreters (glulxe for Glulx, bocfel for Z-code) with RemGlk as subprocesses, communicating via JSON (RemGlk protocol).
Common Commands
# Setup (clones submodules, installs deps, AND compiles glulxe+bocfel binaries)
# Requires both a C compiler (cc/gcc) and C++ compiler (c++/g++/clang++)
uv sync --group dev --reinstall-package mcp-server-if
# Run all unit tests
uv run pytest -v
# Run a single test file
uv run pytest tests/test_session.py -v
# Run a single test by name
uv run pytest -k "test_play_if_basic" -v
# Integration tests (require compiled glulxe + network)
uv run pytest -m integration -v
# Lint and format
uv run ruff check src/ tests/
uv run ruff format src/ tests/
# Type check
uv run pyright src/
# Build package (compiles glulxe from C source via hatch_build.py)
uv build
Important: uv sync compiles glulxe and bocfel into src/mcp_server_if/bin/ via the hatch build hook (editable install). The build hook skips compilation if binaries already exist; use --reinstall-package mcp-server-if to force recompilation. Bocfel requires a C++ compiler (g++/c++/clang++).
Architecture
MCP Server (FastMCP)
└── server.py — 6 MCP tools + journal management + interpreter routing
└── session.py — GlulxSession: async subprocess ↔ RemGlk JSON protocol
├── glulxe binary (Glulx games, compiled from deps/glulxe + deps/remglk)
└── bocfel binary (Z-code games, compiled from deps/garglk/terps/bocfel + deps/remglk)
config.py — Resolves paths (env vars → bundled binary → PATH) and validates config
Data flow per turn: server.play_if() → detects game format → selects interpreter (glulxe or bocfel) → GlulxSession.run_turn(command) → spawns interpreter subprocess → sends JSON input (RemGlk format) → reads JSON output → formats to Markdown text.
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 · 160 lines · 3,059 tokens per session scan A da48f3fe425c
mcp-server-if CLAUDE.md is an instructions file published in the GitHub repository davidar/mcp-server-if (0 stars, last pushed 7mo ago), licensed MIT. It adds 3,059 tokens to every session, about $0.0153 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.
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).
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.
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.
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).
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.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.