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.
curl -O https://raw.githubusercontent.com/Renoyz/renpy-mcp-creator/master/AGENTS.mdgit clone --depth 1 https://github.com/Renoyz/renpy-mcp-creatorWrote 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/renoyz/renpy-mcp-creator/agents-md)<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="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 5.1 | $0.01543 | $0.01543 |
| Opus 5 | $0.00772 | $0.00772 |
| Sonnet 5 | $0.00309 | $0.00309 |
| Haiku 4.5 | $0.00154 | $0.00154 |
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 7d 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 — 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.mdis the authoritative current-status document.docs/README.mdindexes active and archived documentation.docs/vn-engineering-middleware-gap-analysis.mdrecords the active product direction.docs/dual-agent-design.mdis a future design, not an active phase.
Repo Map
src/renpy_mcp/: Python backend, services, chat orchestration, FastAPI, asset pipelinedashboard/: React frontenddesktop/: Electron desktop shellpackaging/: PyInstaller configuration and Windows build scriptstests/: unit, integration, and E2E coverageworkspace/: local generated projects and debug artifactsdocs/: current roadmap, design documents, and documentation indexdocs/archive/: completed, partial, or superseded plans and promptsdocs/superpowers/specs/: approved active design specificationsdocs/superpowers/plans/: active implementation plans
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.
- 7d ago First seen · 140 lines · 1,543 tokens per session scan A dffc5d63514e
renpy-mcp-creator AGENTS.md is an instructions file published in the GitHub repository Renoyz/renpy-mcp-creator (0 stars, last pushed 1mo ago), licensed MIT. It adds 1,543 tokens to every session, about $0.0077 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
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 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).
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.
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.
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).
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.