renpy-mcp-creator: Instructions file for Codex

AGENTS.md

renpy-mcp-creator AGENTS.md is an instructions file for Codex, OpenCode from Renoyz/renpy-mcp-creator. It costs 1,543 tokens per session, scanned A, original, MIT.

Repository instructions for AI coding agents working on the renpy-mcp-creator project. They describe the project, its current state, repository layout and rules for making changes.

In plain words
What is it for?
Guiding work on the Ren'Py project, including its project-creation, content-generation, asset-review, script-versioning and build-preview workflow.
Why use it?
They give an agent project context and limits, reducing guesswork and unwanted changes.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is Renoyz/renpy-mcp-creator's own configuration. It tells Codex and OpenCode how to work on renpy-mcp-creator 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 renpy-mcp-creator configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Renoyz/renpy-mcp-creator. 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/Renoyz/renpy-mcp-creator/master/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Renoyz/renpy-mcp-creator

Made for: Codex, OpenCode.

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 renpy-mcp-creator AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/renoyz/renpy-mcp-creator/agents-md/github.svg)](https://agentmods.dev/instructions/renoyz/renpy-mcp-creator/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/renoyz/renpy-mcp-creator/agents-md"><img src="https://agentmods.dev/badge/instructions/renoyz/renpy-mcp-creator/agents-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 renpy-mcp-creator AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/renoyz/renpy-mcp-creator/agents-md"><img src="https://agentmods.dev/badge/instructions/renoyz/renpy-mcp-creator/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,543 This file is loaded in full into every session.
When invoked 1,543 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 $0.01543 $0.01543
Opus 5.5 $0.00617 $0.00617
Sonnet 5.5 $0.00309 $0.00309
Haiku 4.5 $0.00154 $0.00154

Measured 2mo ago against content hash dffc5d63514e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

renpy-mcp-creator 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 2mo 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 · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file is for AI coding agents working in this repository.

Scope

  • This file applies to AI coding agents only.
  • Optimize for small, verifiable changes.
  • Do not expand work into a later phase unless the user explicitly asks for it.

Current Product State

  • The core pipeline is operational: create project → AI intake → brief → outline → blueprint freeze → multi-chapter scenes → asset review → script commit/rollback → build/preview.
  • Historical evidence includes one real-LLM E2E run covering 14/14 stages in about 132 seconds. Real-LLM tests remain manual and are not a per-commit guarantee.
  • Completed capabilities include adaptive refinement, position-aware narrative guidance, stepwise generation/import, derived asset slots, Game Shell, and the workflow Dashboard redesign.
  • The project is now an open-source (MIT), non-commercial effort: priorities are release hygiene, GitHub publication, and community feedback. Installer/packaging work is deferred until user demand appears. The four known integration failures and the preview-process cleanup were fixed on 2026-07-19.
  • Product differentiation work is ordered as GameIR v1 → Asset Manifest Protocol → generated/user ownership → compiler diagnostics.
  • Dual-agent audit, another broad UI redesign, more providers, and hosted SaaS work are deferred until user validation succeeds.
  • docs/ROADMAP.md is the authoritative current-status document.
  • docs/README.md indexes active and archived documentation.
  • docs/vn-engineering-middleware-gap-analysis.md records the active product direction.
  • docs/dual-agent-design.md is a future design, not an active phase.

Repo Map

  • src/renpy_mcp/: Python backend, services, chat orchestration, FastAPI, asset pipeline
  • dashboard/: React frontend
  • desktop/: Electron desktop shell
  • packaging/: PyInstaller configuration and Windows build scripts
  • tests/: unit, integration, and E2E coverage
  • workspace/: local generated projects and debug artifacts
  • docs/: current roadmap, design documents, and documentation index
    • docs/archive/: completed, partial, or superseded plans and prompts
    • docs/superpowers/specs/: approved active design specifications
    • docs/superpowers/plans/: active implementation plans

Read the full file on GitHub · 140 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. 2mo ago First seen · 140 lines · 1,543 tokens per session scan A dffc5d63514e

Subscribe to this mod's changes

renpy-mcp-creator AGENTS.md is an instructions file published in the GitHub repository Renoyz/renpy-mcp-creator (0 stars, last pushed 3mo ago), licensed MIT. It adds 1,543 tokens to every session, about $0.0062 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

renpy-mcp-creator AGENTS.md compared with instructions from other repositories

renpy-mcp-creator AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
renpy-mcp-creator AGENTS.mdRenoyz/renpy-mcp-creatorInstructions file03mo agoMITA1,543Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143ktodayMITA7,461Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA5,649GitHub Copilot
langchain AGENTS.mdlangchain-ai/langchainInstructions file149ktodayMITA4,680Codex, OpenCode
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA3,093GitHub Copilot
vscode model-prompts.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA2,022GitHub Copilot