Borrowing it
Nothing to install: this file belongs to Randroids-Dojo/PlayGodot. 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/Randroids-Dojo/PlayGodot/main/AGENTS.mdgit clone --depth 1 https://github.com/Randroids-Dojo/PlayGodotWrote 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/randroids-dojo/playgodot/agents-md)<a href="https://agentmods.dev/instructions/randroids-dojo/playgodot/agents-md"><img src="https://agentmods.dev/badge/instructions/randroids-dojo/playgodot/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 | $0.00685 | $0.00685 |
| Opus 5 | $0.00342 | $0.00342 |
| Sonnet 5 | $0.00137 | $0.00137 |
| Haiku 4.5 | $0.00068 | $0.00068 |
Grade A, and why
PlayGodot 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 2d 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions for PlayGodot
This file contains instructions for AI coding agents working on this repository.
Project Overview
PlayGodot is an external automation and testing framework for Godot Engine games. It uses Godot's native RemoteDebugger protocol via a custom Godot fork for communication. It consists of:
- Python package (
python/): The main testing library published to PyPI - Protocol (
protocol/): JSON-RPC message definitions
Release Process
Prerequisites
- Ensure all changes are merged to
main - Verify tests pass
Steps to Release
-
Update version in
python/pyproject.toml:version = "X.Y.Z" -
Commit and push the version bump:
git add python/pyproject.toml git commit -m "Bump version to X.Y.Z" git push origin main -
Create and push a git tag:
git tag -a vX.Y.Z -m "Release vX.Y.Z - Brief description" git push origin vX.Y.Z -
Create a GitHub Release:
- Go to https://github.com/Randroids-Dojo/PlayGodot/releases/new
- Select the tag you just pushed
- Title:
vX.Y.ZorvX.Y.Z - Description - Add release notes describing changes
- Click "Publish release"
-
PyPI publishing is automatic:
- The
publish.ymlworkflow triggers on release publication - It builds and uploads to PyPI using trusted publishing (OIDC)
- No API tokens needed - GitHub Actions handles authentication
- Monitor the workflow at: https://github.com/Randroids-Dojo/PlayGodot/actions/workflows/publish.yml
- The
Manual PyPI Publishing (if needed)
If you need to publish manually or to TestPyPI:
-
Build the package:
cd python pip install build python -m build -
Upload to TestPyPI (for testing):
pip install twine twine upload --repository testpypi dist/* -
Upload to PyPI:
twine upload dist/*
Note: Manual uploads require a PyPI API token configured in ~/.pypirc or passed via -u __token__ -p <token>.
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.
- 2d ago First seen · 91 lines · 685 tokens per session scan A f8f659168049
PlayGodot AGENTS.md is an instructions file published in the GitHub repository Randroids-Dojo/PlayGodot (38 stars, last pushed 6mo ago), licensed MIT. It adds 685 tokens to every session, about $0.0034 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 2026-09-04.
Other instructions, from other repositories
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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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.