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 skills add banjtheman/renpy_mcp_server --skill renpygit clone --depth 1 https://github.com/banjtheman/renpy_mcp_serverWrote 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/skills/banjtheman/renpy_mcp_server/renpy)<a href="https://agentmods.dev/skills/banjtheman/renpy_mcp_server/renpy"><img src="https://agentmods.dev/badge/skills/banjtheman/renpy_mcp_server/renpy/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.
<a href="https://agentmods.dev/skills/banjtheman/renpy_mcp_server/renpy"><img src="https://agentmods.dev/badge/skills/banjtheman/renpy_mcp_server/renpy.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00023 | $0.00744 |
| Opus 5.5 | $0.00009 | $0.00298 |
| Sonnet 5 | $0.00005 | $0.00149 |
| Haiku 4.5 | $0.00002 | $0.00074 |
Grade A, and why
renpy 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 3d 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ren'Py
Author Ren'Py projects directly in the user's workspace. This folder contains the project template, SDK/build/preview helper, and browser bridge. Resolve bundled paths relative to this SKILL.md; the folder can be copied to another skill installation without its containing repository.
Start from the task
- New game or narrative/art work: read story-and-art.md. Shape the story and visuals around the user's brief. The starter is a runnable sample; replace its cast, plot, notes, and route tests as needed.
- Existing game: preserve its structure and edit
.rpysource directly. Use only the references relevant to the change;initis for a new project. - SDK, builds, or preview: read toolchain.md for prerequisites, configuration, and build behavior.
- Browser playtesting or bridge integration: read browser-control.md for tool discovery, state, and supported screens.
For generated art, use the native ImageGen tool and the system imagegen skill that documents it. This workflow does not pin an image API model. If multiple imagegen skills are installed, select the one for the native tool. Selected files belong in the project, with their source references retained. If native generation is unavailable, report the limitation and continue with existing or temporary art where useful; an alternative image provider needs the user's choice.
Local toolchain
Use an available Python 3.11.8+ interpreter for scripts/renpy.py; it uses only the standard library. Ren'Py runs through the SDK's bundled runtime. Below, PYTHON and SKILL stand for the resolved absolute interpreter and skill-directory paths, not literal commands.
PYTHON SKILL/scripts/renpy.py setup
PYTHON SKILL/scripts/renpy.py doctor
PYTHON SKILL/scripts/renpy.py init /absolute/path/my-game --title "My Game"
PYTHON SKILL/scripts/renpy.py lint /absolute/path/my-game
PYTHON SKILL/scripts/renpy.py build-web /absolute/path/my-game
PYTHON SKILL/scripts/renpy.py serve /absolute/path/my-game
PYTHON SKILL/scripts/renpy.py status /absolute/path/my-game
PYTHON SKILL/scripts/renpy.py stop /absolute/path/my-game
What ships with it
17 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 111 B
- assets/bridge/renpy_agent.rpy 7.2 KB
- assets/template/.gitignore 115 B
- assets/template/game/options.rpy 1.0 KB
- assets/template/game/screens.rpy 3.0 KB
- assets/template/game/script.rpy 1.7 KB
- assets/template/game/testcases.rpy 756 B
- assets/template/story/assets.json 290 B
- assets/template/story/brief.md 512 B
- assets/web/renpy-agent.js 11 KB runs code
- references/browser-control.md 5.7 KB
- references/story-and-art.md 4.4 KB
- references/toolchain.md 4.5 KB
- scripts/renpy.py 30 KB runs code
- tests/test_bridge_python.py 3.5 KB runs code
- tests/test_bridge.mjs 5.9 KB runs code
- tests/test_toolchain.py 12 KB runs code
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.
- 3d ago First seen · 43 lines · 23 tokens per session scan A fa2f5c2854e4
renpy is a skill published in the GitHub repository banjtheman/renpy_mcp_server (61 stars, last pushed 4d ago), licensed MIT. It adds 23 tokens to every session and 744 once invoked, about $0.0001 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 2026-09-22.
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playtest-report
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How an agent turns a character mesh into a usable animated FBX — and how to judge whether the result is shippable.
unity-addressables
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threejs-exposure-color-grading
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